阅读说明：本技术 一种测量心肌组织运动特征的非侵入性方法及系统 (Non-invasive method and system for measuring myocardial tissue motion characteristics ) 是由 王翎 易成 何碧霞 谢鹏 于 2019-04-18 设计创作，主要内容包括：一种测量心肌组织运动特征的非侵入性方法,包括：传输生成的多个同步正交、不同频率的相位可控可调的周期性交流电流至生物体(20)内以产生多个不同频率的周期性交流电压信号；接收由生物体(20)内心脏组织(25)变化调制的交流电压信号,以获取生物体(20)的频率响应；根据频率响应计算心脏组织(25)的电阻和电容；根据电阻和电容估算心肌组织的运动特征。通过引入心肌细胞纵向平均长度,并且根据电容计算心肌细胞的纵向平均长度变化,给出心脏整体的纵向弹性的一种描述方法。提供了连续的、高采样率、非侵入性的方法来测量心肌组织在整个细胞层面上的运动,从而能够检测到心肌细胞更微小的异常变化。(A non-invasive method of measuring myocardial tissue motion characteristics, comprising: transmitting the generated plurality of synchronized orthogonal, phase controllable and adjustable periodic alternating currents of different frequencies into the living being (20) to generate a plurality of periodic alternating voltage signals of different frequencies; receiving an alternating voltage signal variably modulated by cardiac tissue (25) within the living being (20) to obtain a frequency response of the living being (20); calculating the resistance and capacitance of the cardiac tissue (25) from the frequency response; the motion characteristics of the myocardial tissue are estimated based on the electrical resistance and capacitance. A description is given of the longitudinal elasticity of the heart as a whole by introducing the longitudinal average length of the cardiomyocytes and calculating the change in the longitudinal average length of the cardiomyocytes from the capacitance. A continuous, high-sampling-rate, non-invasive method is provided to measure the motion of myocardial tissue at the whole cell level, thereby enabling the detection of more subtle abnormal changes in the myocardial cells.)

A non-invasive method of measuring a motion characteristic of myocardial tissue, the method comprising:

transmitting the generated synchronous orthogonal periodic alternating currents with different frequencies and controllable and adjustable phases into a living body to generate a plurality of synchronous periodic alternating current voltage signals with different frequencies;

receiving the periodic alternating current voltage signal modulated by the cardiac tissue changes in the organism to obtain a frequency response of the organism;

calculating the resistance and capacitance of the cardiac tissue from the frequency response;

and estimating the motion characteristics of the myocardial tissue according to the resistance and the capacitance.

The method of claim 1, wherein calculating the resistance and capacitance of the cardiac tissue from the frequency response comprises obtaining a system transfer function of the biological body from the frequency response and performing multi-chamber modeling to separate the cardiac tissue from peripheral tissue.

The method of claim 1, wherein estimating myocardial tissue motion features from the resistances and capacitances comprises:

calculating the longitudinal average length of the myocardial cells and the change thereof according to the capacitance, and/or calculating the heart pumping blood flow according to the resistance; and

and obtaining the overall longitudinal elasticity state of the heart according to the longitudinal average length and the change of the myocardial cells and/or the heart pumping blood flow.

The method of claim 3, further comprising estimating the health and performance of the heart and myocardium according to the longitudinal elastic state of the heart as a whole.

The method according to claim 4, wherein the estimating comprises analyzing the health and operation of the heart and myocardium including contraction velocity, time, intensity and pattern of the heart tissue and/or relaxation velocity, time, recovery and pattern of the heart tissue according to the slope value of the change of longitudinal elastic state of the heart as a whole, the delay to the R-wave, the peak-to-peak value, the shape of the cardiomyocyte longitudinal mean length change curve and its derivatives.

The method of claim 1, wherein said obtaining the frequency response of the biological object comprises calculating a frequency response estimate for a particular frequency every 0.25 to 5 milliseconds.

The method of claim 3, wherein calculating the longitudinal average length of the cardiomyocytes and their variance from the capacitance comprises:

detecting the longitudinal average length of the cardiomyocytes and their change over time at a rate of 200 to 4000 times per second;

the time series of longitudinal mean length changes of the cardiomyocytes over time are processed using digital signal processing methods including digital filtering, Fast Fourier Transform (FFT), and time and frequency domain analysis.

[ correcting 09.05.2019 according to rules 91 ] the method according to claim 7, further comprising referring to an electrocardiogram having the same time series to analyze the longitudinal mean length variation sequence of the cardiomyocytes, wherein the referring comprises comparing the electrocardiogram with the heart cycle, the systolic phase and the diastolic phase of the longitudinal mean length variation sequence of the cardiomyocytes, and/or the boundaries of the heart cycle, the systolic phase and the diastolic phase.

The method of claim 2, wherein performing multi-chamber modeling to separate the cardiac tissue and peripheral tissue comprises modeling each chamber by parallel resistance and capacitance, with multiple chambers connected in series or in parallel.

A system for implementing any of the above methods, the system comprising a terminal and at least one processor, wherein the terminal comprises:

the generator is used for generating a plurality of synchronous orthogonal periodic alternating currents with different frequencies and controllable and adjustable phases;

one or more sensors for transmitting the periodic alternating current into a living organism to generate a plurality of periodic alternating current voltage signals of different frequencies and receiving the periodic alternating current voltage signals modulated by cardiac tissue changes in the living organism to obtain a frequency response of the living organism;

the processor is configured to calculate an electrical resistance and capacitance of the cardiac tissue based on the frequency response, and estimate a motion characteristic of the myocardial tissue based on the electrical resistance and capacitance.

[ claim 91 correction 09.05.2019] the system of claim 10, wherein the sensors are used to collect single or multiple data from different sites.

[ claim 91 correction 09.05.2019] the system of claim 10, further comprising a database for storing processing results and data of the processor, the database being retrievable by the processor.

[ claim 7 ] correction 09.05.2019 according to rules 91 ] the system of claim 10, wherein the processor is remote and the remote viewing system is operable in real time.

[ claim 91 correction 09.05.2019] the system according to any of claims 10-13, wherein the terminal further comprises a human-machine interface for controlling the system and/or displaying the results.