阅读说明：本技术 使用局部阻抗的损伤熟化预测 (Lesion maturation prediction using local impedance ) 是由 马修·S·苏尔金 雅各布·I·拉夫纳 艾伦·C·舒罗斯 玛丽·M·拜伦 詹森·J·哈曼 于 2018-05-22 设计创作，主要内容包括：一种电生理系统,包括导管,其具有带有远端部分的柔性导管主体；以及电极,其布置在远端部分上。系统包括信号发生器,其被配置为通过在电极的第一集合之间驱动一个或多个电流来生成电信号,其中,电极的第二集合被配置为基于电信号获得阻抗测量结果。标测处理器被配置为：接收来自电极的第二集合的阻抗测量结果；确定至少一个阻抗度量；并且基于所述至少一个阻抗度量来确定至少一个损伤特性。(An electrophysiology system comprising a catheter having a flexible catheter body with a distal portion; and an electrode disposed on the distal portion. The system includes a signal generator configured to generate an electrical signal by driving one or more electrical currents between a first set of electrodes, wherein a second set of electrodes is configured to obtain an impedance measurement based on the electrical signal. The mapping processor is configured to: receiving impedance measurements from a second set of electrodes; determining at least one impedance metric; and determining at least one impairment characteristic based on the at least one impedance metric.)

1. An electrophysiological system comprising:

a catheter, comprising:

a flexible catheter body having a distal end portion; and

a plurality of electrodes disposed on the distal portion;

a signal generator configured to generate an electrical signal by driving one or more electrical currents between the first set of the plurality of electrodes, wherein the second set of the plurality of electrodes is configured to obtain an impedance measurement based on the electrical signal; and

a mapping processor configured to:

receiving impedance measurements from a second set of electrodes;

determining at least one impedance metric; and is

Determining at least one impairment characteristic based on the at least one impedance metric.

2. The system of claim 1, wherein the first set of the plurality of electrodes comprises at least one electrode not in the second set of the plurality of electrodes.

3. The system of claim 1 or 2, wherein the plurality of electrodes comprises a plurality of ring electrodes and an ablation electrode.

4. The system of claim 3, wherein the plurality of electrodes further comprises at least one of: a mapping electrode, an embedded electrode, and a printed electrode disposed on the distal portion of the catheter.

5. The system of claim 3 or 4, wherein the first set of the plurality of electrodes comprises at least one of the plurality of ring electrodes.

6. The system of claim 5, wherein the first set of the plurality of electrodes includes a first ring electrode and an ablation electrode.

7. The system of any of claims 4 to 6, wherein the second set of the plurality of electrodes includes at least one mapping electrode.

8. The system of any one of claims 1 to 7, wherein the at least one impairment characteristic comprises at least one of: the presence of the lesion, the depth of the lesion, and/or the size of the lesion.

9. The system of any of claims 1 to 8, wherein the at least one impedance metric comprises at least one of: initial impedance, impedance drop, derivative of the impedance signal over a period of time, and integral of the impedance signal over time.

10. A method for determining a lesion property using a catheter having a plurality of electrodes disposed on a distal end thereof, the method comprising:

generating an electrical signal using the first set of the plurality of electrodes;

measuring a local impedance based on the electrical signal using the second set of the plurality of electrodes;

determining at least one local impedance measure; and is

At least one impairment characteristic is determined based on the at least one impedance characteristic.

11. The method of claim 10, further comprising providing an indication associated with the at least one impairment characteristic.

12. The system of claim 10 or 11, wherein the at least one impairment characteristic comprises at least one of: the presence of the lesion, the depth of the lesion, and/or the size of the lesion.

13. The method of any of claims 10 to 12, wherein the at least one impedance metric comprises at least one of: initial impedance, impedance drop, derivative of the impedance signal over a period of time, and integral of the impedance signal over time.

14. The method of any of claims 10-13, wherein the first set of the plurality of electrodes includes at least one electrode that is not in the second set of the plurality of electrodes.

15. The method of any of claims 1-14, wherein the first set of the plurality of electrodes includes at least one ring electrode and an ablation electrode.

Technical Field

The present disclosure relates to the treatment of heart diseases. More particularly, the present disclosure relates to methods and systems for ablating cardiac tissue to treat cardiac arrhythmias.

Background

Abnormal conduction pathways disrupt the normal path of the cardiac electrical impulses. An abnormal conduction pathway may produce an abnormal, irregular, and sometimes life-threatening rhythm known as arrhythmia. Ablation is one method of treating cardiac arrhythmias and restoring normal conduction. The abnormal pathway and/or its source may be located or mapped using a mapping electrode located at a desired location. After mapping, the clinician may ablate the abnormal tissue. In Radio Frequency (RF) ablation, RF energy may be directed from an ablation electrode through tissue to another electrode to ablate the tissue and form a lesion (fusion).

Lesion indexing provides clinician feedback for estimated lesion size during RF application to improve the safety and effectiveness of the procedure. Conventional lesion-indexing algorithms typically estimate lesion size using one or two parameters. These parameters include, for example, RF generator impedance (e.g., impedance measured between the RF electrode and the patch on the skin), RF dose (power and duration), contact force and force integral over time, catheter temperature, catheter interface temperature, and catheter pulsation index. With these conventional techniques, lesion size estimation tends to be rather limited and/or inaccurate. More robust algorithms include ultrasound and light scattering analysis, but these tend to be complex and computationally cumbersome.

Disclosure of Invention

Embodiments of the present invention facilitate real-time ablation lesion characterization. The electrodes are used to measure local impedance based on electrical signals (e.g., generated using the electrodes), which may be, for example, unipolar signals and/or bipolar signals, among others. In embodiments, an "electrical signal" may be, refer to, and/or include a signal detected by a single electrode (e.g., a monopolar signal), a signal detected by two or more electrodes (e.g., a bipolar signal), and/or multiple signals detected by one or more electrodes, among others. The one or more local impedance metrics may be used to determine one or more lesion characteristics.

In example 1, an electrophysiology system, comprising a catheter comprising: a flexible catheter body having a distal end portion; and a plurality of electrodes disposed on the distal portion; a signal generator configured to generate an electrical signal by driving one or more electrical currents between the first set of the plurality of electrodes, wherein the second set of the plurality of electrodes is configured to obtain an impedance measurement based on the electrical signal; and a mapping processor configured to: receiving impedance measurements from a second set of electrodes; determining at least one impedance metric; and determining at least one impairment characteristic based on the at least one impedance metric.

In example 2, the system of example 1, wherein the first set of the plurality of electrodes includes at least one electrode that is not in the second set of the plurality of electrodes.

In example 3, the system of any of examples 1 or 2, the plurality of electrodes comprising a plurality of ring electrodes and an ablation electrode.

In example 4, the system of example 3, the plurality of electrodes further comprising at least one of: a mapping electrode, an embedded electrode, and a printed electrode disposed on the distal portion of the catheter.

In example 5, the system of any of examples 3 or 4, the first set of the plurality of electrodes comprising at least one of the plurality of ring electrodes.

In example 6, the system of example 5, wherein the first set of the plurality of electrodes includes a first ring electrode and an ablation electrode.

In example 7, the system of any of examples 4-6, wherein the second set of the plurality of electrodes includes at least one mapping electrode.

In example 8, the system of any of examples 1-7, wherein the at least one impairment characteristic comprises at least one of: the presence of the lesion, the depth of the lesion, and/or the size of the lesion.

In example 9, the system of any of examples 1-8, wherein the at least one impedance metric includes at least one of: initial impedance, impedance drop, derivative of the impedance signal over a period of time, and integral of the impedance signal over time.

In example 10, a method for determining a lesion property using a catheter having a plurality of electrodes disposed on a distal end thereof, the method comprising: generating an electrical signal using the first set of the plurality of electrodes; measuring a local impedance based on the electrical signal using the second set of the plurality of electrodes; determining at least one local impedance measure; and determining at least one damage characteristic based on the at least one impedance characteristic.

In example 11, the method of example 10, further comprising providing an indication associated with the at least one impairment characteristic.

In example 12, the method of any of examples 10 or 11, wherein the at least one impairment characteristic comprises at least one of: the presence of the lesion, the depth of the lesion, and/or the size of the lesion.

In example 13, the method of any of examples 10 to 12, wherein the at least one impedance metric includes at least one of: initial impedance, impedance drop, derivative of the impedance signal over a period of time, and integral of the impedance signal over time.

In example 14, the method of any one of examples 10 to 13, wherein the first set of the plurality of electrodes includes at least one electrode that is not in the second set of the plurality of electrodes.

In example 15, the method of any of examples 1-14, wherein the first set of the plurality of electrodes includes at least one ring electrode and an ablation electrode.

In example 16, an electrophysiology system, comprising: a catheter, comprising: a flexible catheter body having a distal end portion; and a plurality of electrodes disposed on the distal portion; a signal generator configured to generate an electrical signal by driving one or more electrical currents between the first set of the plurality of electrodes, wherein the second set of the plurality of electrodes is configured to obtain an impedance measurement based on the electrical signal; and a mapping processor configured to: receiving impedance measurements from a second set of electrodes; determining at least one impedance metric; and determining at least one impairment characteristic based on the at least one impedance metric.

In example 17, the system of example 16, wherein the first set of the plurality of electrodes includes at least one electrode that is not in the second set of the plurality of electrodes.

In example 18, the system of example 16, the plurality of electrodes comprising a plurality of ring electrodes and an ablation electrode.

In example 19, the system of example 18, the plurality of electrodes further comprising at least one of: a mapping electrode, an embedded electrode, and a printed electrode disposed on the distal portion of the catheter.

In example 20, the system of example 18, the first set of the plurality of electrodes comprising at least one ring electrode.

In example 21, the system of example 20, wherein the first set of the plurality of electrodes includes a first ring electrode and an ablation electrode.

In example 22, the system of example 21, wherein the second set of the plurality of electrodes comprises a second ring electrode.

In example 23, the system of example 21, wherein the second set of the plurality of electrodes includes at least one mapping electrode.

In example 24, the system of example 16, wherein the at least one impairment characteristic comprises at least one of: the presence of the lesion, the depth of the lesion, and/or the size of the lesion.

In example 25, the system of example 16, wherein the at least one impedance metric includes at least one of: initial impedance, impedance drop, derivative of the impedance signal over a period of time, and integral of the impedance signal over time.

In example 26, the system of example 16, wherein the mapping processor is configured to determine the at least one injury characteristic using a classifier.

In example 27, the system of example 26, the classifier configured to determine the at least one injury characteristic based on at least one impedance metric and at least one additional parameter.

In example 28, the system of example 27, the at least one additional parameter comprising at least one of: a measure of catheter stability, a measure of RF generator impedance, an electrogram characteristic, an RF ablation energy power level, and an RF ablation energy delivery duration.

In example 29, a method for determining a lesion property using a catheter having a plurality of electrodes disposed on a distal end thereof, the method comprising: generating an electrical signal using the first set of the plurality of electrodes; measuring a local impedance based on the electrical signal using the second set of the plurality of electrodes; determining at least one local impedance measure; and determining at least one damage characteristic based on the at least one impedance characteristic.

In example 30, the method of example 29, further comprising: providing an indication associated with the at least one lesion property and automatically interrupting delivery of RF ablation energy in response to determining the at least one lesion property.

In example 31, the method of example 29, wherein the at least one impairment characteristic comprises at least one of: the presence of the lesion, the depth of the lesion, and/or the size of the lesion.

In example 32, the method of example 29, wherein the at least one impedance metric includes at least one of: initial impedance, impedance drop, derivative of the impedance signal over a period of time, and integral of the impedance signal over time.

In example 33, the method of example 29, wherein the first set of the plurality of electrodes includes at least one electrode that is not in the second set of the plurality of electrodes.

In example 34, the method of example 29, wherein the first set of the plurality of electrodes includes at least one ring electrode and an ablation electrode.

In example 35, an ablation system, comprising: an ablation catheter, comprising: a flexible catheter body having a distal end portion; and a plurality of electrodes disposed on the distal portion, the plurality of electrodes comprising a Radio Frequency (RF) ablation electrode and at least one ring electrode; a signal generator configured to generate an electrical signal by driving one or more electrical currents between the first set of the plurality of electrodes, wherein the second set of the plurality of electrodes is configured to obtain an impedance measurement based on the electrical signal; and a mapping processor configured to: receiving impedance measurements from a second set of electrodes; determining at least one impedance metric; and determining at least one lesion characteristic based on the at least one impedance metric, wherein the at least one lesion characteristic comprises at least one of: the presence of the lesion, the depth of the lesion, and/or the size of the lesion.

While multiple embodiments are disclosed, other embodiments of the presently disclosed subject matter will become apparent to those skilled in the art from the following detailed description, which shows and describes illustrative embodiments of the presently disclosed subject matter. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not as restrictive.

Drawings

Fig. 1 is a schematic diagram of an ablation system according to an embodiment of the subject matter described herein.

Fig. 2 is a block diagram depicting an illustrative mapping operating environment according to an embodiment of the subject matter described herein.

Fig. 3 is a flow chart depicting an illustrative method of determining damage characteristics according to an embodiment of the subject matter described herein.

Fig. 4A-4C are schematic diagrams depicting illustrative electrode arrangements according to embodiments of the subject matter described herein.

While the disclosed subject matter is amenable to various modifications and alternative forms, specifics thereof have been shown by way of example in the drawings and will be described in detail. However, the intention is not to limit the subject matter disclosed herein to the particular embodiments described. On the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the subject matter disclosed herein and as defined by the appended claims.

As used herein, "about" and "approximately" may be used interchangeably to refer to a value (e.g., a magnitude of qualitative and/or quantitative observation, a measure, and/or other degree of terminology) that is equal to (or the same as) a specified value, configuration, orientation, and/or other characteristic, or a value that is equal to, but may differ by a relatively small amount from, a specified value, configuration, orientation, and/or other characteristic, in association with a value (e.g., a dimension, a measurement, an attribute, a component, etc.) used herein with respect to a characteristic (e.g., a dimension, a measurement, an attribute, a component, etc.) and/or a range thereof of a tangible thing (e.g., data, an electronic representation of currency, an account, information, a portion of a thing (e.g., a percentage, a score), a calculation, a data model, a dynamic system model, an algorithm, a parameter, etc.) and/, The values, configurations, orientations, and/or other characteristics of the configurations, orientations, and/or other characteristics (or the same) may be attributed to, such as will be understood and readily determined by one of ordinary skill in the relevant art: error in measurement results; differences in measurements and/or manufacturing equipment calibration; human error in reading and/or setting the measurement results; adjustments are made in view of other measurements (e.g., measurements associated with other things) to optimize performance and/or structural parameters; a specific embodiment; imprecise adjustment and/or manipulation of things, settings, and/or measurements by humans, computing devices, and/or machines; system tolerances; a control loop; machine learning; predictable changes (e.g., statistically insignificant changes, chaotic changes, system and/or model instability, etc.); and/or preferences, etc.

Although the term "block" may be used herein to connote different elements employed illustratively, the term should not be interpreted as implying any particular order among or between various blocks or any requirement herein disclosed. Similarly, although an illustrative method may be represented by one or more figures (e.g., a flow chart, a communication flow, etc.), the figures should not be interpreted as implying any particular order among or between various steps herein disclosed. However, certain embodiments may require certain steps and/or certain order between certain steps, as may be explicitly described herein and/or as may be understood from the nature of the steps themselves (e.g., the performance of certain steps may depend on the results of a previous step). In addition, a "set," "subset," or "group" of items (e.g., inputs, algorithms, data values, etc.) may include one or more items, and similarly, a subset or subgroup of items may include one or more items. "plurality" means more than one.

As used herein, the term "based on" is not meant to be limiting, but rather indicates that the determination, identification, prediction, and/or calculation, etc., is performed using at least the term after "based on" as an input. For example, predicting an outcome based on a particular piece of information may additionally or alternatively base the same determination on another piece of information.

Detailed Description

The electrophysiologist may assess the formation and maturation of a lesion on human tissue (e.g., cardiac tissue) using any number of parameters, which may include the presence of an ablation lesion (e.g., whether a lesion has been formed), the size of the lesion, the depth of the lesion, the likelihood of a steam pop occurring, and/or any number of other characteristics. In embodiments, parameters for determining lesion characteristics may include physiological parameters (e.g., Electrogram (EGM) morphology, EGM attenuation, etc.), device parameters (e.g., catheter stability, RF generator impedance, contact force, etc.), ablation parameters (e.g., RF dose (RF power and application duration), etc.).

Embodiments of the present disclosure may be implemented using dedicated catheters or catheters that are already commercially available. Embodiments include a hardware/software Graphical User Interface (GUI) for acquiring electrical signals, performing a sharpness analysis, and displaying results during an ablation procedure. This may be done, for example, using a stand-alone System, or may be incorporated into an existing System, such as the bardlab System Pro or the rythmia Mapping System, both of which are available from Boston Scientific Corporation of marberler, massachusetts.

Fig. 1 is a schematic diagram of a Radio Frequency (RF) ablation system 100 according to an embodiment of the subject matter disclosed herein. As shown in fig. 1, the system 100 includes an ablation catheter 102, an RF generator 104, a mapping processor 106, and a signal generator 108. The ablation catheter 102 is operatively coupled to an RF generator 104, a mapping processor 106, and a signal generator 108. As further shown, the ablation catheter 102 includes a proximal handle 110 having an actuator 112 (e.g., a control knob, lever, or other actuator), a flexible body 114 having a distal end portion 116 including a plurality of ring electrodes 118A, 118B, and 118C, a tissue ablation electrode 120, and a plurality of mapping electrodes 122A, 122B, and 122C (also referred to as "pin" electrodes or microelectrodes) disposed or otherwise positioned within and/or electrically isolated from the tissue ablation electrode 120. In various embodiments, the catheter system 100 may include other types of electrodes, such as, for example, printed electrodes (not shown). In various embodiments, the catheter system 100 may further include a noise artifact isolator (not shown), wherein the electrodes 122A, 122B, and 122C are electrically insulated from the outer wall by the noise artifact isolator.

In some cases, the ablation system 100 may be utilized in ablation procedures on a patient and/or in ablation procedures on other subjects. In various embodiments, the ablation catheter 102 may be configured to be introduced into or through the vasculature of a patient and/or into or through any other lumen or cavity. In an example, the ablation catheter 102 may be inserted through the vasculature of a patient and into one or more chambers (e.g., target regions) of the heart of the patient. When in the vasculature or heart of a patient, the ablation catheter 102 may be used to map and/or ablate cardiac muscle tissue using the ring electrodes 118A, 118B, and 118C, the electrodes 122A, 122B, and 122C, and/or the tissue ablation electrode 120. In an embodiment, the tissue ablation electrode 120 may be configured to apply ablation energy to myocardial tissue of a heart of a patient.

The catheter 102 may be steerable to facilitate navigation of the patient's vasculature or navigation of other lumens. For example, the distal portion 116 of the catheter 102 may be configured to be deflected by manipulation of the actuator 112 to effect steering of the catheter 102. In some cases, the distal portion 116 of the catheter 102 may be deflected to position the tissue ablation electrode 120 and/or electrodes 122A, 122B, and 122C adjacent to the target tissue or to position the distal portion 116 of the catheter 102 for any other purpose. Additionally or alternatively, the distal portion 116 of the catheter 102 may have a pre-shaped shape adapted to facilitate positioning of the tissue ablation electrode 120 and/or electrodes 122A, 122B, and 122C adjacent the target tissue. For example, the preformed shape of the distal portion 116 of the catheter 102 may include a radial shape (e.g., generally circular or generally semi-circular) and/or may be oriented in a plane transverse to a generally longitudinal direction of the catheter 102.

In various embodiments, electrodes 122A, 122B, and 122C are distributed circumferentially around and electrically isolated from tissue ablation electrode 120. Electrodes 122A, 122B, and 122C may be configured to operate in a monopolar or bipolar sensing mode. In some embodiments, the plurality of electrodes 122A, 122B, and 122C may define and/or at least partially form one or more bipolar electrode pairs. For one or more bipolar electrode pairs, the signal generator 108 may drive one or more currents between one or more of the bipolar electrode pairs to facilitate determining local impedance. Additionally or alternatively, one or more bipolar electrode pairs may be configured to measure electrical signals corresponding to local impedance and/or sensed electrical activity (e.g., Electrogram (EGM) readings) of myocardial tissue proximate the one or more bipolar electrode pairs. Additionally or alternatively, the catheter system 100 may include one or more sensors (e.g., force sensors, temperature sensors, optical sensors, ultrasound sensors, and/or other physiological sensors) (not shown) to facilitate measuring and/or processing electrical signals including, for example, local impedance of myocardial tissue proximate to the one or more sensors and/or sensed electrical activity. In an embodiment, the measured signals from the electrodes 122A, 122B, and 122C may be provided to the mapping processor 106 for processing as described herein. In embodiments, EGM readings or signals from a bipolar electrode pair may form, at least in part, the basis for contact assessment, ablation region assessment (e.g., tissue viability assessment), and/or ablation progress assessment (e.g., lesion formation/maturation analysis), as discussed below.

Instead of or in addition to the ablation catheter 102, various embodiments may include a mapping catheter (not shown) that includes mapping electrodes, such as, for example, electrodes 122A, 122B, and 122C, but not necessarily tissue ablation electrodes 120. In embodiments, mapping with a mapping catheter may be performed, for example, when ablation is performed with a separate ablation catheter (e.g., ablation catheter 102) or tissue ablation is performed independently. In other embodiments, more than one mapping catheter may be used to enhance the mapping data. In addition to or alternatively to the circumferentially spaced electrodes 122A, 122B, and 122C, the catheter 102 may include one or more forward facing electrodes (not shown). The forward electrode may be generally centrally located within the tissue ablation electrode 120 and/or at the end of the tip of the catheter 102.

The tissue ablation electrode 120 may be any length and may have any number of electrodes 122A, 122B, and 122C positioned therein and spaced circumferentially and/or longitudinally around the tissue ablation electrode 120. In some cases, the length of the tissue ablation electrode 120 may be between one (1) mm and twenty (20) mm, between three (3) mm and seventeen (17) mm, or between six (6) mm and fourteen (14) mm. In one illustrative example, the tissue ablation electrode 120 may have an axial length of about eight (8) mm.

In some cases, the plurality of electrodes 122A, 122B, and 122C may be spaced at any interval around the circumference of the tissue ablation electrode 120. In one example, the tissue ablation electrode 120 may include at least three electrodes 122A, 122B, and 122C that are equally spaced or otherwise spaced about the circumference of the tissue ablation electrode 118 and at the same or different longitudinal positions along the longitudinal axis of the tissue ablation electrode 120. In some illustrative examples, the tissue ablation electrode 120 may have an outer wall (not shown) that at least partially defines an open interior region. The outer wall may include one or more openings for receiving one or more electrodes 122A, 122B, and 122C. Additionally or alternatively, the tissue ablation electrode 120 may include one or more irrigation ports (not shown). Illustratively, when an irrigation port is present, the irrigation port may be in fluid communication with an external irrigation fluid reservoir and pump (not shown), which may be used to supply fluid (e.g., irrigation fluid) to the myocardial tissue to be or being mapped and/or ablated.

The RF generator 104 may be configured to deliver ablation energy to the ablation catheter 102 in a controlled manner in order to ablate the target tissue site identified by the mapping processor 106. Tissue ablation within the heart is well known in the art, and therefore, for the sake of brevity, the RF generator 104 will not be described in further detail. Further details regarding RF generators are provided in U.S. patent 5,383,874, the entire contents of which are expressly incorporated herein by reference for all purposes. While the mapping processor 106 and the RF generator 104 are shown as discrete components, they may alternatively be incorporated into a single integrated device.

The RF ablation catheter 102 as described may be used to perform various diagnostic functions to assist a physician in ablation therapy. For example, in some embodiments, the catheter 102 may be used to ablate cardiac arrhythmias while providing real-time assessment of lesions formed during RF ablation. Real-time assessment of lesions may involve any of the following: monitoring surface and/or tissue temperature at or around the lesion, reduction of electrocardiographic signals, reduction of impedance, direct and/or surface visualization of the lesion, and imaging of the tissue site (e.g., by using computed tomography, magnetic resonance imaging, ultrasound, etc.). In addition, the presence of the electrode within the RF tip electrode may operate to assist the physician in positioning and placing the tip electrode at the desired treatment site, as well as determining the position and orientation of the tip electrode relative to the tissue to be ablated. As described herein, for example, embodiments include determining local impedance based on analysis of a plurality of parameters (e.g., physiological parameters, device parameters, and/or ablation parameters, etc.).

In operation and while the catheter 102 is within the patient and/or adjacent to the target region, the catheter 102 may sense electrical signals (e.g., EGM signals) from the patient or the target region and relay those electrical signals to the clinician (e.g., via a display of the RF ablation system 100). The EGM amplitude and/or EGM morphology may be utilized by an electrophysiologist and/or others to verify the position of the ablation catheter in the patient anatomy, verify the viability of tissue adjacent the ablation catheter, verify lesion formation in tissue adjacent the ablation catheter, and/or verify or identify other characteristics related to the catheter 102 and/or adjacent target tissue or region.

Based at least in part on its sensing capabilities, the catheter 102 may be used to perform various diagnostic functions to assist a physician in ablation and/or mapping procedures, as mentioned above and discussed further below. In one example, the catheter 102 may be used to ablate cardiac arrhythmias while providing real-time localization information, real-time tissue viability information, and real-time assessment of lesions formed during ablation (e.g., during RF ablation). Real-time assessment of the lesion may involve determining one or more local impedance metrics associated with the ablation site, such as, for example, an initial local impedance, a change (e.g., increase or decrease) in local impedance, an integral over time of the impedance signal, and/or a derivative over time of the impedance signal, among others.

As used herein and understood in the art, "real-time" means during an action or process. For example, where someone is monitoring the local impedance metric in real time during ablation at the target region, the local impedance metric is being monitored during the ablation process (e.g., during or between application of ablation energy) at the target region. Additionally or alternatively, the presence of the electrodes 120A, 120B, and 120C at or around the tissue ablation electrode 120 and/or within the tip of the catheter 102 (e.g., at the distal tip) may facilitate allowing a clinician to position and/or place the tissue ablation electrode 120 at a desired treatment site to determine the location and/or orientation of the tissue ablation electrode relative to the tissue to be ablated or relative to any other feature.

Fig. 2 depicts an illustrative mapping operating environment 200 according to an embodiment of the invention. In various embodiments, the mapping processor 202 (which may be or be similar to the mapping processor 106 depicted in fig. 1) may be configured to detect, process, and record electrical signals associated with myocardial tissue via an ablation catheter 102 and/or mapping catheter, such as depicted in fig. 1. In an embodiment, based on these electrical signals, the clinician may identify a particular target tissue site within the heart and ensure that the arrhythmia causing the substrate has been electrically isolated by the ablation therapy. The mapping processor 202 is configured to process signals from the electrodes 204 (which may include, for example, the electrodes 122A, 122B, and 122C and/or the ring electrodes 118A, 118B, and 118C depicted in fig. 1) and generate an output to the display device 206. The signal generator 208 may be configured to drive one or more currents to one or more of the electrodes 204 to facilitate determining the local impedance.

The display device 206 may be configured to present an indication of the condition of the tissue and/or the effectiveness of the ablation procedure, etc. (e.g., for use by a physician). In some embodiments, the display device 206 may include Electrocardiogram (ECG) information that may be analyzed by a user to determine the presence and/or location of an arrhythmic substrate within the heart and/or to determine the location of an ablation catheter within the heart. In various embodiments, the output from mapping processor 202 may be used to provide an indication to a clinician via display device 206 regarding characteristics of the ablation catheter and/or the mapped myocardial tissue.

With output generated to the display device 206 and/or otherwise, the mapping processor 202 may be operably coupled to or otherwise in communication with the display device 206. In an embodiment, the display device 206 may include various static and/or dynamic information related to the use of an RF ablation system (e.g., the RF ablation system 100 depicted in fig. 1). For example, the display device 206 may present an image of the target region, an image of the catheter, and/or information related to the EGM, which may be analyzed by a user and/or by a processor of the RF ablation system to determine the presence and/or location of arrhythmia matrices within the heart, to determine the location of the catheter within the heart, and/or to make other determinations related to the use of the catheter and/or other catheters.

In an embodiment, the display device 206 may be an indicator. The indicator may be capable of providing an indication related to a characteristic of the output signal received from one or more of the electrodes 204. For example, an indication of the characteristics of the catheter and/or the interacted and/or mapped myocardial tissue may be provided to the clinician on display device 206. In some cases, the indicator may provide a visual and/or audible indication to provide information about the catheter and/or the interaction and/or the characteristics of the mapped myocardial tissue. In embodiments, the visual indication may take one or more forms. In some cases, if an imaging catheter is present, the visual color or light indication on display 206 may be separate from or included on the imaging catheter on display 206. Such a color or light indicator may include a progression of lights or colors that may be associated with various levels of characteristics proportional to lesion size and/or another lesion characteristic. Alternatively or additionally, the indicator of the characteristic may be provided on the display in any other manner and/or in any audible or other sensory indication as desired. In embodiments, for example, the tactile indication may be provided, such as by vibrating a handle or other device of the catheter, for example.

In some cases, the visual indication may be an indication on a display device 206 (e.g., a computer monitor and/or touch screen device, etc.) with one or more lights or other visual indicators. In one example of an indicator, the color of at least a portion of the electrodes of the catheter imaged on the screen of the display 206 may change from a first color (e.g., red or any other color) when there is poor contact between the catheter and the tissue to a second color (e.g., green or any other color different from the first color) when there is good contact between the catheter and the tissue and/or when ablation may be initiated after good contact is established. Additionally or alternatively, in an embodiment of the indicator, the depicted color of the electrode on the imaging catheter may change color to indicate a level of lesion maturation when the local impedance metric meets or exceeds a threshold value. In a similar manner, indicators may be utilized to indicate the viability of the tissue to be ablated. In the above examples, the changing color/light or other indicator of change (e.g., numbers, images, designs, etc.) may be located on the display at a location other than the imaging catheter as desired. According to embodiments, the indicator may provide any type of information to the user. For example, the indicators discussed herein may be pass or fail type indicators showing when a condition exists or does not exist, and/or may be progressive indicators showing progress from a first level to a next level of a characteristic.

According to an embodiment, the various components of the operating environment 200 shown in fig. 2 (e.g., the mapping processor 202 and/or the signal generator 208) may be implemented on one or more computing devices. The computing device may comprise any type of computing device suitable for implementing embodiments of the present disclosure. Although components of a computing device are shown in fig. 2 in connection with mapping processor 202, it should be understood that the discussion herein regarding computing devices and their components applies generally to any number of different aspects of embodiments of the systems described herein, which may be implemented using one or more computing devices. Examples of computing devices include special purpose computing devices or general purpose computing devices, such as "workstations," "servers," "laptops," "desktops," "tablets," and "handsets," etc., all of which are contemplated within the scope of FIG. 2 with reference to various components of operating environment 200.

In an embodiment, a computing device includes a bus that directly and/or indirectly couples the following devices: a processing unit (e.g., processing unit 210 depicted in fig. 2), a memory (e.g., memory 212 depicted in fig. 2), input/output (I/O) ports, I/O components (e.g., output component 214 depicted in fig. 2), and a power supply. Any number of additional components, different components, and/or combinations of components may also be included in the computing device. A bus representation may be one or more buses (such as, for example, an address bus, a data bus, or a combination thereof). Similarly, in embodiments, a computing device may include multiple processing units (which may include, for example, hardware, firmware, and/or software computer processors), multiple memory components, multiple I/O ports, multiple I/O components, and/or multiple power supplies. In addition, any number or combination of these components may be distributed and/or replicated across multiple computing devices.

In an embodiment, the memory 210 includes computer-readable media in the form of volatile and/or nonvolatile memory and may be removable, non-removable, or a combination thereof. Examples of the medium include a Random Access Memory (RAM); read Only Memory (ROM); an Electrically Erasable Programmable Read Only Memory (EEPROM); a flash memory; an optical or holographic medium; magnetic tape cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices; data transmission; or any other medium that can be used to store information and that can be accessed by a computing device, such as, for example, quantum state memory or the like.

In embodiments, the memory 210 stores computer-executable instructions for causing the processing unit 208 to implement aspects of embodiments of system components and/or to perform aspects of embodiments of the methods and programs discussed herein. Computer-executable instructions may include, for example, computer code, machine-useable instructions, and the like, such as, for example, program components that are executable by one or more processors associated with a computing device. Examples of such program components include an impedance analyzer 216 and a classifier 218. The program components can be programmed using any number of different programming environments, including various languages, development kits and/or frameworks, and the like. Some or all of the functionality contemplated herein may also be implemented in hardware and/or firmware.

According to an embodiment, the impedance analyzer 216 and the classifier 218 may be used to determine the lesion characteristics. For example, the impedance analyzer 216 and/or the classifier 218 may be configured to determine local impedance characteristics based on electrical signals received from the one or more electrodes 204. In an embodiment, the signal generator 208 may be configured to drive one or more electrical currents through the first set of electrodes 204, and the mapping processor 202 may be configured to receive electrical signals measured by the second set of electrodes 204, analyze the received electrical signals to determine one or more local impedance metrics, and determine one or more lesion characteristics based on the one or more local impedance metrics. In an embodiment, the second set of electrodes may include at least one electrode different from the first set of electrodes.

In an embodiment, local impedance refers to the impedance measured between two or more electrodes disposed adjacent to a target location. For example, in an embodiment, the local impedance between two electrodes disposed on the distal end of an ablation catheter may be measured based on signals generated using two or more other electrodes disposed on the catheter. In embodiments, multiple measurements of local impedance may be made using various combinations of electrodes. For example, in an embodiment, a first signal may be generated using a first pair of electrodes (e.g., where a first set of electrodes includes two electrodes), and an impedance between the two electrodes of the first pair may be measured using a second pair of electrodes. In an embodiment, the second signal may be generated using a third pair of electrodes, and the impedance measured using a fourth set of electrodes, and so on. When multiple impedance measurements are collected, embodiments include selecting one or more of the multiple measurements for analysis to determine one or more damage characteristics. If one impedance measurement is selected for analysis, embodiments include using one or more additional local impedance measurements as a check for the first measurement and/or as training data to train the classifier 218, among other things.

In some cases, the lesion characteristics may be further analyzed in a meaningful manner in real time (e.g., during a typical electrophysiology procedure) by determining a local impedance associated with the catheter and determining a characteristic of lesion maturation based on the local impedance. In some embodiments, one or more sensors (e.g., force sensors, temperature sensors, ultrasound sensors, and/or other physiological sensors) may be used to facilitate determining characteristics of local impedance and/or lesion maturation associated with a catheter. In an embodiment, determining the local impedance may include executing a machine learning algorithm and/or other modeling algorithm with the mapping processor 202 and/or other processor. According to embodiments, multiplexing techniques, phase differentiation techniques, and/or frequency filtering techniques, etc. may be used to facilitate real-time monitoring. In embodiments, the signal generator may be configured to generate an electrical signal that is different from the RF energy being delivered for ablation (and that does not interfere with the RF energy, and/or vice versa, for example), such as by generating an electrical signal having a different frequency than the RF energy signal, for example.

The output component 214 may be configured to provide an output to the display device 206, wherein the output includes the determined characteristic (e.g., an indication of the impairment characteristic). For example, the display device 206 may be configured to indicate relative changes in local impedance over a period of time, estimated lesion size and/or depth, and/or likelihood of steam pop occurrence, among others.

The illustrative operating environment 200 shown in FIG. 2 is not intended to suggest any limitation as to the scope of use or functionality of embodiments of the disclosure. Nor should it be construed as having any dependency or requirement relating to any single component or combination of components illustrated therein. Additionally, in an embodiment, any one or more of the components depicted in fig. 2 may be integrated with various ones of the other components depicted therein (and/or components not shown), all of which are considered to be within the scope of the present disclosure. For example, the impedance analyzer 216 may be integrated with the classifier 218 and/or the classifier 218 may be included in the impedance analyzer 216, etc. In embodiments, any number of components, such as those depicted in fig. 2, may be used to estimate lesion maturation as described herein.

As described above, in embodiments, a mapping processor (e.g., mapping processor 106 depicted in fig. 1 and/or mapping processor 202 depicted in fig. 2) may utilize local impedance measurements, and in embodiments, any number of other parameters, to analyze lesion maturation. Fig. 3 depicts an illustrative method 300 of analyzing lesion maturation of an ablation lesion according to an embodiment of the subject matter described herein. In the illustrative method 300, a distal portion of a catheter (e.g., the catheter 102 and/or mapping catheter depicted in fig. 1, etc.) may be positioned at a location proximate to a target area or target tissue (block 302). A signal generator (e.g., signal generator 108 depicted in fig. 1 and/or signal generator 208 depicted in fig. 2) may be configured to drive one or more currents through the first set of electrodes (block 304). A mapping processor (e.g., mapping processor 106 depicted in fig. 1 and/or mapping processor 202 depicted in fig. 2) may receive electrical signal measurements from a second set of electrodes adjacent a target area or tissue (block 306). Illustratively, signals measured by the electrodes of the catheter may be used to determine a local impedance metric (block 308).

The set of electrodes may include one or more electrodes. In embodiments, any number of different combinations of electrodes (e.g., ring electrodes, pin electrodes, ablation electrodes, etc.) may be used to generate signals and/or measure impedance based on the generated signals. In an embodiment, the first set of electrodes may be the same as the second set of electrodes, or the first and second sets may differ by at least one electrode. According to embodiments, all different combinations of pairs of electrodes may be used to generate signals separately and obtain impedance measurements based on those signals. According to an embodiment, multiple impedance measurements may be used for comparison with other impedance measurements. In an embodiment, multiple impedance measurements may be aggregated (e.g., using statistical or other mathematical methods) to determine an impedance metric (e.g., average impedance, etc.). For example, impedance measurements from various electrode sets may be assigned corresponding weights (e.g., based on electrode position, signal quality, etc.), and a weighted average or other linear or non-linear combination of weighted impedance measurements may be determined and used to determine the lesion characteristics. The multiple impedance measurements and/or generated signals may be multiplexed (e.g., time-based, code-based, frequency-based, etc.) to facilitate multiple impedance measurements within a relatively small window (i.e., multiple impedance measurements may be obtained at about the same point in time, for example).

Fig. 4A-4C are schematic diagrams depicting illustrative electrode arrangements for determining local impedance in accordance with embodiments of the subject matter disclosed herein. As shown in fig. 4A and 4B, the illustrative ablation catheter 400 includes three ring electrodes 402A, 402B, and 402C, RF ablation electrodes 404 and three mapping electrodes 406A, 406B, and 406C. As shown in fig. 4A, the first electrode arrangement comprises: a first set of electrodes 402A and 404 between which a current 408 is driven, and a second set of electrodes 402C and 406A for obtaining a measurement 410 of electrical signals generated by the first set of electrodes. In fig. 4B, a second electrode arrangement is depicted in which a current 408 is driven between the ring electrode 402C and the ablation electrode 404 while measurements 410 are obtained using the ring electrode 402B and the pin electrode 406A. An alternative arrangement is also shown in FIG. 4B, where a current 408 is driven between the ring electrode 402B and the pin electrode 406C, and where a corresponding impedance measurement 410 is obtained using the pin electrode 406A and the pin electrode 406B.

In fig. 4C, the ablation catheter 412 includes a plurality of ring electrodes 414A, 414B, and 414C, and an ablation (e.g., RF) electrode 416, but no pin electrode is disposed on the tip. In an embodiment, as shown, the electrode arrangement may include a first set of electrodes 414A and 416 for generating a signal 418, and a second set of electrodes 414C and 416 for obtaining a local impedance measurement 420 based on the signal 418. As with the aspect of the embodiment depicted in fig. 4A and 4B, any number of different combinations of electrodes 414A, 414B, 414C, and 416 may be used to generate signals and obtain local impedance measurements based on those signals, respectively.

The illustrative catheters 400 and 412 and electrode arrangements shown in fig. 4A-4C are not intended to suggest any limitation as to the scope of use or functionality of embodiments of the disclosure. Nor should it be construed as having any dependency or requirement relating to any single component or combination of components illustrated therein. Additionally, in embodiments, any one or more of the components and/or arrangements depicted in fig. 4A-4C may be integrated with various ones of the other components and/or arrangements depicted therein (and/or components not shown), all of which are considered to be within the scope of the present disclosure.

As further shown in fig. 3, embodiments of the illustrative method 300 also include determining impairment characteristics (block 310) and providing an indication of impairment characteristics (block 312). According to an embodiment, the mapping processor determines the lesion characteristics based on local impedance metrics (e.g., initial local impedance, change (e.g., increase or decrease) in local impedance, integral of the impedance signal over time, derivative of the impedance signal over time, etc.). In embodiments, the mapping processor may also utilize any number of other parameters to determine the lesion characteristics. For example, in embodiments, the mapping processor may use measurements of catheter stability, RF generator impedance, EGM attenuation, RF dose (e.g., power and duration), contact force, temperature, optical performance, and/or ultrasound measurements, among others. As indicated herein, the lesion characteristics can include, for example, the presence of a lesion, the size of the lesion (e.g., the amount of tissue surface area occupied by the lesion), the depth of the lesion, and/or the likelihood of a steam pop occurring (e.g., a calculated probability that a steam pop will occur within a specified time window given a particular set of circumstances), and the like.

To determine the lesion characteristics, the mapping processor may be configured to utilize a classifier and/or other machine learning algorithms. In embodiments, multiple classifiers may be used in parallel, in series, and/or in any number of other integrated manners. According to embodiments, the classifier may include a decision tree algorithm, a Support Vector Machine (SVM), and in embodiments, may include any number of other machine learning techniques. According to embodiments, supervised and/or unsupervised learning may be employed to increase the accuracy and efficiency of algorithms for determining damage characteristics over time. Neural networks, deep learning, and/or other multivariate classification techniques may be utilized. In embodiments, for example, the use of decision trees may facilitate more efficient computations, as decision trees may be constructed to group relevant metrics and parameters, while excluding other metrics and parameters. In some embodiments, the systems and/or methods described herein may be configured to determine the likelihood of a steam pop occurring (e.g., instead of or in addition to other damage characteristics). In embodiments of this case, the computational burden in conventional systems may be reduced by using binary classifiers (e.g., decision trees configured to facilitate binary classification, etc.).

According to an embodiment, the level of one or more damage characteristics may be represented and/or monitored via the determined local impedance. The one or more lesion characteristics may include, for example, contact force between the catheter and the target region (e.g., target tissue or other target region), viability of the target region, ablation progress (e.g., lesion maturation or other measure of ablation progress), conduction characteristics of the target region, and/or likelihood of steam pop occurrence (e.g., in view of a particular set of circumstances that may represent a particular state of the ablation procedure as determined at the time of measurement), among others. In embodiments, one or more of these or other characteristics may be represented and/or monitored in real-time, for example, when positioning the distal portion of the catheter proximate to the target region, when mapping the target region or other object, when applying ablation energy to the target region, and/or when performing any other action on the catheter, as described herein. The level of one or more of the characteristics may be visually displayed on the display, may be indicated by an audible indicator, or may be indicated in any other manner. In embodiments, the indication may include a mapping (e.g., a voltage mapping, a spectral mapping, etc.), a light indicator, and/or a waveform, among others.

Embodiments of the systems and methods described herein include closed loop systems in which the determined impairment characteristics may trigger actions taken by the system. For example, in an embodiment, the mapping processor and/or RF generator may be configured to interrupt the RF ablation procedure (e.g., by interrupting delivery of RF energy via the ablation electrode) in response to determining that the lesion size, depth, or other characteristic has reached or exceeded a specified threshold. Additionally or alternatively, the mapping processor and/or the RF generator may be configured to interrupt the RF ablation procedure in response to determining that the likelihood of steam pop occurrence meets or exceeds a specified threshold. In an embodiment, the mapping processor and/or RF generator may be configured to adjust ablation parameters (e.g., frequency, amplitude, etc.) in response to a determination of lesion characteristics (e.g., lesion characteristics indicating that the target tissue has been diseased). In embodiments, for example, in response to determining that the likelihood of steam pop occurring meets or exceeds a threshold, the mapping processor and/or RF generator may be configured to reduce the delivered RF power, and in embodiments, a notification may be sent to the clinician that a steam pop may occur and that the clinician should interrupt (at least temporarily or at a particular location) the ablation procedure, for example, with such a reduction.

Various modifications and additions may be made to the exemplary embodiments discussed without departing from the scope of the present disclosure. For example, although the embodiments described above refer to particular features, the scope of the present disclosure also includes embodiments having different combinations of features and embodiments that do not include all of the described features. For example, embodiments may include combining the evaluation of local impedance with other techniques (e.g., contact force techniques, etc.), temperature measurements, and/or ultrasound techniques, etc., to enhance the determination of the lesion characteristics. Additionally or alternatively, embodiments may include injecting current and creating a field from an ablation catheter electrode to a separate intracardiac catheter, such as a catheter located in the coronary sinus, pulmonary vein, or other region of the heart. Embodiments may include injecting a current between electrodes on an ablation catheter and sensing a corresponding voltage from an electrode on the ablation catheter to an electrode on a separate intracardiac catheter. Accordingly, the scope of the present disclosure is intended to embrace all such alternatives, modifications and variances that fall within the scope of the claims, and all equivalents thereof.