阅读说明：本技术 使用二元多光谱传感器的水合作用评估 (Hydration assessment using binary multispectral sensor ) 是由 孙岚 熊章民 于 2020-07-23 设计创作，主要内容包括：一种设备可获得与个体的组织相关联的吸收光谱数据。该设备可基于该吸收光谱数据确定与该组织相关联的含水量的估计。该设备可基于该含水量的估计确定该个体的水合作用水平的估计。该设备可基于该个体的该水合作用水平的估计执行一个或多个动作。(An apparatus may obtain absorption spectrum data associated with tissue of an individual. The device may determine an estimate of the water content associated with the tissue based on the absorption spectrum data. The device may determine an estimate of the hydration level of the individual based on the estimate of water content. The device may perform one or more actions based on the estimate of the hydration level of the individual.)

1. An apparatus, comprising:

one or more memories; and

one or more processors communicatively coupled to the one or more memories, the one or more processors to:

obtaining absorption spectrum data associated with tissue of the individual,

wherein the absorption spectrum data is obtained for a plurality of wavelength channels;

determining an estimate of water content associated with the tissue based on the absorption spectrum data and using a tissue absorption model;

determining an estimate of hydration level of the individual based on the estimate of the water content; and

performing one or more actions based on the estimation of the hydration level of the individual.

2. The device of claim 1, wherein the one or more processors, when performing the one or more actions, at least one of:

providing an estimate of the level of hydration,

providing a notification indicating that the individual is to use water when the estimate of the hydration level meets a threshold,

transmitting a notification to a user device of the individual when the estimate of the hydration level meets a threshold, or

Transmitting a notification to a user device of a care provider of the individual when the estimate of the hydration level satisfies a threshold.

3. The apparatus of claim 1, wherein the apparatus comprises a multispectral sensor apparatus.

4. The device of claim 3, wherein the tissue is a skin layer based on a first distance between a light source of the multispectral sensor device and a light detector of the multispectral sensor device, and

wherein the tissue is a muscle layer based on a second distance between the light source and the light detector.

5. The apparatus of claim 1, wherein the plurality of wavelength channels are associated with near-infrared light or visible light.

6. The device of claim 1, wherein the device is configured to contact a skin surface of the individual.

7. The device of claim 1, wherein the tissue of the individual is associated with at least one of a wrist, a finger, an arm, a leg, a head, or an ear.

8. A non-transitory computer-readable medium having instructions stored thereon, the instructions comprising:

one or more instructions that when executed by one or more processors cause the one or more processors to:

obtaining absorption spectrum data associated with tissue of an individual;

performing a fit of the absorption spectrum data to a tissue absorption model;

determining an estimate of water content associated with the tissue based on the fitting;

determining an estimate of hydration level of the individual based on the estimate of the water content; and

performing one or more actions based on the estimation of the hydration level of the individual.

9. The non-transitory computer-readable medium of claim 8, wherein the one or more instructions that cause the one or more processors to perform the one or more actions cause the one or more processors to at least one of:

providing said estimate of said hydration level,

providing a notification indicating that the individual does not use water when the estimate of the hydration level meets a threshold,

transmitting a notification to a user device of the individual when the estimate of the hydration level meets a threshold, or

Transmitting a notification to a user device of a care provider of the individual when the estimate of the hydration level satisfies a threshold.

10. The non-transitory computer-readable medium of claim 8, wherein the absorption spectrum data is obtained for a plurality of wavelength channels.

11. The non-transitory computer-readable medium of claim 8, wherein the tissue absorption model models light scattering and light absorption in tissue.

12. The non-transitory computer-readable medium of claim 8, wherein the fitting of the absorption spectrum data to the tissue absorption model is performed using a non-linear least squares process.

13. The non-transitory computer-readable medium of claim 8, wherein the fitting of the absorption spectrum data to the tissue absorption model is constrained by a logistic function that provides boundaries for values of the water content.

14. The non-transitory computer-readable medium of claim 8, wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determining an initial value for the tissue absorption model prior to performing the fitting.

15. A method, comprising:

obtaining, by a device, absorption spectrum data associated with tissue of an individual;

determining, by the device and based on the absorption spectrum data, an estimate of water content associated with the tissue;

determining, by the device and based on the estimate of the water content, an estimate of a hydration level of the individual; and

performing, by the device and based on the estimation of the hydration level of the individual, one or more actions.

16. The method of claim 15, wherein the one or more actions comprise at least one of:

providing said estimate of said hydration level,

providing a notification indicating that the individual is to use water when the estimate of the hydration level meets a threshold,

transmitting a notification to a user device of the individual when the estimate of the hydration level meets a threshold, or

Transmitting a notification to a user device of a care provider of the individual when the estimate of the hydration level satisfies a threshold.

17. The method of claim 15, wherein the tissue of the subject is at least one of a skin layer or a muscle layer.

18. The method of claim 15, wherein the estimation of the hydration level of the individual is related to at least one of a hydration level in a skin layer of the individual or a hydration level in a muscle layer of the individual.

19. The method of claim 15, wherein the absorption spectrum data is obtained for a plurality of wavelength channels.

20. The method of claim 15, wherein the estimate of the moisture content associated with the tissue is determined using a tissue absorption model.

Background

Optical sensors are used in a variety of devices, such as image sensors, ambient light sensors, proximity sensors, hue sensors, Ultraviolet (UV) sensors, and/or the like, to convert optical signals into electrical signals, allowing for detection of optical signals or image capture. A multispectral sensor device may be used to capture information about multiple wavelengths of light. For example, the multispectral sensor device may capture information related to a particular set of electromagnetic frequencies. The multispectral sensor apparatus may include a set of sensor components (e.g., optical sensors, spectral sensors, and/or image sensors) that capture information. For example, an array of sensor elements may be used to capture information about multiple frequencies. A particular sensor element of the array of sensor elements may be associated with a filter that defines a range of frequencies directed to that particular sensor element. Such filters can be used to increase the spectral range when the use case requires an increase in the spectral range for sensing.

Disclosure of Invention

According to some implementations, an apparatus may include: one or more memories, and one or more processors communicatively coupled to the one or more memories, the one or more processors to: obtaining absorption spectrum data associated with tissue of an individual, wherein the absorption spectrum data is obtained for a plurality of wavelength channels; determining an estimate of water content associated with the tissue based on the absorption spectrum data and using a tissue absorption model; determining an estimate of the hydration level of the individual based on the estimate of water content; and performing one or more actions based on the estimate of the hydration level of the individual.

According to some implementations, a non-transitory computer-readable medium may store one or more instructions that, when executed by one or more processors, cause the one or more processors to: obtaining absorption spectrum data associated with tissue of an individual; performing a fit of the absorption spectrum data to a tissue absorption model; determining an estimate of water content associated with the tissue based on the fitting; determining an estimate of the hydration level of the individual based on the estimate of water content; and performing one or more actions based on the estimate of the hydration level of the individual.

According to some implementations, a method may include: obtaining, by a device, absorption spectrum data associated with tissue of an individual; determining, by the device and based on the absorption spectroscopy data, an estimate of water content associated with the tissue; determining, by the device and based on the estimate of water content, an estimate of the hydration level of the individual; and performing, by the device and based on the estimate of the hydration level of the individual, one or more actions.

Drawings

FIG. 1 is a schematic diagram of an example embodiment described herein.

FIG. 2 is a schematic diagram of an example environment in which systems and/or methods described herein may be implemented.

FIG. 3 is an illustration of example components of one or more of the devices of FIG. 2.

Fig. 4-6 are flow diagrams of example processes for hydration assessment.

Detailed Description

The following detailed description of example embodiments refers to the accompanying drawings. The same reference numbers in different drawings may identify the same or similar elements.

The water content of the tissue of an individual (e.g., skin tissue, muscle tissue, and/or the like) may provide information related to the hydration level of the individual. For example, water content may indicate that a subject is dehydrated or super hydrated. Dehydration can reduce the cognitive and physical abilities of the individual, while overhydration can indicate that the individual suffers from a heart, liver or kidney disease.

Current techniques use invasive procedures to measure tissue water content. For example, tissue water content may be measured using blood drawn from an individual. Thus, current techniques can cause individual discomfort and need to be performed in a clinical setting. As a result, continuous monitoring of tissue water content of an individual may be impractical or impossible according to current techniques, making real-time detection of dehydration or overhydration conditions difficult.

According to some embodiments described herein, the hydration evaluation apparatus may estimate tissue water content of the individual based on absorption spectrum data associated with the tissue of the individual. In some embodiments, the hydration evaluation device can obtain absorption spectrum data from a multispectral sensor device (e.g., a Binary Multispectral Sensor (BMS) device) in contact with the skin surface of the individual. The hydration evaluation apparatus may use the absorption spectrum data to estimate the water content of the tissue of the individual, and may use the estimate of water content to determine an estimate of the hydration level for the individual.

In this way, the hydration assessment apparatus facilitates an efficient and accurate estimation of the hydration level of an individual in a non-invasive manner. Thus, the hydration evaluation apparatus improves individual compliance and conserves resources associated with invasive procedures (e.g., medical equipment resources to draw blood, medical equipment and processing resources to analyze drawn blood, caregiver resources, and/or the like). Further, the multispectral sensor device may be worn by the individual (e.g., on the individual's wrist) to permit continuous monitoring of the individual's hydration level, thereby improving detection of dehydration and overhydration conditions.

Fig. 1 is a schematic diagram of an example implementation 100 described herein. As shown in fig. 1, the multispectral sensor device may be positioned relative to (e.g., in contact with) a skin surface of the individual. For example, as shown in fig. 1, the multispectral sensor device may be worn on the wrist of an individual. Additionally or alternatively, the multispectral sensor device may be positioned at another location of the individual's body relative to the skin surface, such as on a finger, arm, leg, earlobe, and/or the like. In some embodiments, the multispectral sensor device comprises a BMS device operating in, for example, the Visible (VIS) spectrum, the Near Infrared (NIR) spectrum (e.g., 750-1400 nanometers), and/or the like.

As shown by reference numeral 105, the multispectral sensor apparatus may determine (e.g., measure, gather, collect, and/or the like) absorption spectrum data associated with N (N >1) wavelength channels (e.g., 16 wavelength channels, 36 wavelength channels, 64 wavelength channels, and/or the like). The absorption spectrum data identifies, for each of the N wavelength channels, a degree of absorption (e.g., light attenuation) of light by the individual tissue. Accordingly, the multispectral sensor device may comprise: a light source configured to transmit light (e.g., in the NIR spectrum) through individual tissue; a light detector comprising a plurality of light sensor assemblies configured to capture information related to light transmitted by the light source; and multispectral filters comprising a plurality of filters (e.g., 16 filters, 36 filters, 64 filters, and/or the like) each configured to define a range of wavelengths directed to a respective light sensor component. In some embodiments, the light source may be located remotely from the multispectral sensor device. Further, the light source may include a plurality of light sources. For example, the light source may include one or more first light sources included in the multispectral sensor device and one or more second light sources located remotely from the multispectral sensor device.

In some embodiments, the light source may be directed to a particular type of tissue of the individual. For example, the light source may be directed to a skin layer of the individual or a muscle layer of the individual based on a distance between the light source and the light detector, based on an intensity of light directed at a skin surface of the individual, and/or the like. For example, if the light detector is positioned at the skin surface of the individual, the light source may be positioned a first distance from the light detector (e.g., a first distance from the skin surface of the individual) so as to reach the skin layer of the individual, or a second distance from the light detector (e.g., a second distance from the skin surface of the individual) so as to reach the muscle layer of the individual. In this case, the first distance may be shorter than the second distance. Additionally or alternatively, multiple light sources may be selectively activated to produce a particular light intensity required to reach the skin layer of the individual or the muscle layer of the individual. The distance between the light source and the light detector and/or the number of light sources activated may be selected by the individual and/or the individual's care provider depending on whether a skin hydration or muscle hydration assessment is required, depending on the muscle content and/or fat content of the individual's tissue and/or the like.

As illustrated by reference numeral 110, the hydration evaluation apparatus may obtain absorption spectrum data from a multispectral sensor apparatus. The hydration evaluation device is a device capable of determining a hydration level of an individual based on absorption spectrum data associated with the multi-wavelength channel, as described herein. In some embodiments, the hydration evaluation apparatus may be integrated with the multispectral sensor apparatus (e.g., in the same package, in the same housing, on the same chip, and/or the like). Alternatively, the hydration evaluation device may be separate from (e.g., located remotely from) the multispectral sensor device.

In some embodiments, the hydration evaluation device may obtain the absorption spectrum data in real-time or near real-time (e.g., when the multispectral sensor device is configured to provide the absorption spectrum data as the multispectral sensor device obtains the absorption spectrum data). Additionally or alternatively, the hydration evaluation apparatus may obtain the absorption spectrum data based on the multispectral sensor apparatus providing the absorption spectrum data periodically (e.g., every other second, every five seconds, and/or the like), such as automatically. Additionally or alternatively, the hydration evaluation device may obtain absorption spectrum data from the multispectral sensor device based on requesting the absorption spectrum data from the multispectral sensor device.

As illustrated by reference numeral 115, the hydration evaluation apparatus may perform a fit of the absorption spectrum data to a tissue absorption model. The tissue absorption model may provide an approximation of the light attenuation in tissue by modeling the light scattering and light absorption in tissue. The tissue absorption model may be a taylor's expanded attenuation model represented by equation 1:

wherein c0 and c1 are constants,<L>to average the path length of the reflected light through the tissue,ε_Hb(lambda) andis respectively used for water, deoxygenated hemoglobin and oxygenated hemoglobinA wavelength-dependent extinction coefficient of, andc_Hbandthe concentrations of water, deoxygenated hemoglobin and oxygenated hemoglobin, respectively. Item(s)Describes the absorption of light by water and hemoglobin, and item c₁λ describes the scattering from the tissue.

The hydration evaluation apparatus can determine c by employing a non-linear least squares process to minimize the sum of squared differences between the modeled absorption spectrum and the measured absorption spectrum (e.g., absorption spectrum data)₀、c₁、<L>、c_Hb、The value of (c). In some embodiments, the hydration evaluation apparatus may determine initial values for the tissue absorption model in order to provide starting points for the fitting process. For example, the hydration evaluation apparatus may determine the initial value using a simulated annealing process or another process for determining the initial value. In some embodiments, the hydration evaluation apparatus may perform a fitting process constrained by a logistic function that provides c₀、c₁、<L>、c_HbOrAn upper and/or lower bound of the value of one or more of. In some embodiments, the hydration evaluation apparatus may use the description in a similar manner to that described aboveAnother model of optical absorption performed.

As illustrated by reference numeral 120, the hydration evaluation apparatus can determine an estimate of the water content of the individual tissue. For example, the hydration evaluation apparatus may be based on the concentration of water determined from the fitting processTo determine an estimate of water cut. As described above, the estimate of water content may be related to the individual's skin layer and/or muscle layer depending on the distance between the light source and the light detector. In this way, the hydration evaluation apparatus facilitates efficient and non-invasive estimation of the water content of individual tissue.

As illustrated by reference numeral 125, the hydration evaluation device can determine an estimate of the hydration level of the individual. For example, the hydration evaluation apparatus may determine an estimate of the hydration level based on the estimate of the water content. As an example, the hydration evaluation apparatus may reference the map of water content and hydration level to determine an estimate of hydration level based on the estimate of water content. As another example, the hydration evaluation apparatus may determine an estimate of the hydration level based on a model describing a relationship between water content and hydration level. As described above, the estimate of hydration level may be related to the skin layer or muscle layer of the individual, depending on whether the estimate of water content is related to the skin layer or muscle layer of the individual. In some embodiments, the estimate of the hydration level may estimate the overall hydration level of the individual based on a combination of the estimate of the hydration level for the individual's skin layer and the estimate of the hydration level for the individual's muscle layer. The estimation of hydration level may be quantitative (e.g., percent) or qualitative (e.g., dehydration, hydration, overhydration, and/or the like).

The hydration evaluation device may perform one or more actions based on the estimate of the hydration level. In some embodiments, the hydration evaluation apparatus may provide an estimate of the hydration level to permit the individual and/or the individual's care provider to analyze the estimate of the hydration level. Additionally or alternatively, the hydration evaluation apparatus may analyze the estimate of the hydration level and provide a notification indicating that the individual needs to use more water, use less water, seek medical treatment, and/or the like if the estimate of the hydration level meets a particular threshold. The hydration evaluation apparatus may provide the estimate of the hydration level and/or the notification to a display associated with the multispectral sensor apparatus and/or the hydration evaluation apparatus, to a user apparatus associated with the individual, to a user apparatus associated with a care provider of the individual, and/or the like.

In some embodiments, the hydration evaluation apparatus may transmit a notification to a user device associated with the individual and/or a user device associated with a care provider of the individual if the estimated value of the hydration level satisfies a particular threshold. For example, the hydration evaluation apparatus may transmit a notification when the estimated value for the hydration level satisfies a threshold associated with severe dehydration, severe overhydration, and/or the like. In some embodiments, the hydration evaluation apparatus may cause a wearable device (e.g., a wearable device including a multispectral sensor apparatus and/or a hydration evaluation apparatus) to provide a notification (e.g., an audible, tactile, and/or visual alert) if the estimated value of the hydration level satisfies a particular threshold.

In some embodiments, the hydration evaluation apparatus may cause another apparatus to adjust the fluid provided to the individual if the estimated value of the hydration level satisfies a particular threshold. For example, the hydration evaluation apparatus may cause another apparatus to provide fluid to the individual or cease providing fluid to the individual based on whether the estimated value of the hydration level satisfies a particular threshold. As an example, the other device may be a device that controls intravenous therapy of the individual.

In this way, the hydration assessment apparatus facilitates an efficient and accurate estimation of the hydration level of an individual. Furthermore, the hydration evaluation device in combination with the multispectral sensor device permits a non-invasive evaluation of the hydration level of the individual, such that the individual will allow for continuous or frequent evaluation. Thus, the hydration evaluation apparatus improves the detection of dehydration or overhydration conditions in an individual.

As indicated above, fig. 1 is provided merely as an example. Other examples may differ from the example described with respect to fig. 1.

FIG. 2 is a schematic diagram of an example environment 200 in which systems and/or methods described herein may be implemented. As shown in fig. 2, environment 200 may include multispectral sensor device 205, hydration evaluation device 210, user device 215, and network 220. The devices of environment 200 may be interconnected via a wired connection, a wireless connection, or a combination of wired and wireless connections.

Multispectral sensor device 205 comprises a device capable of measuring, gathering, collecting, or otherwise determining absorption spectrum data associated with multiple wavelength channels, as described herein. For example, the multispectral sensor device 205 may comprise a multispectral sensing device capable of determining absorption data on each of 64 wavelength channels. In some embodiments, the multispectral sensor device 205 may operate in the visible spectrum, the near-infrared spectrum, the infrared spectrum, and/or the like. In some embodiments, multispectral sensor device 205 may be a wearable device (e.g., a device that is wearable on a wrist, finger, arm, leg, head, ear, and/or the like). In some embodiments, the multispectral sensor device 205 may receive information from and/or transmit information to another device in the environment 200, such as the hydration evaluation device 210.

The hydration evaluation device 210 includes a device capable of determining an estimate of water content and/or an estimate of hydration level based on absorption spectrum data associated with a plurality of wavelength channels, as described herein. For example, the hydration evaluation apparatus 210 may include an Application Specific Integrated Circuit (ASIC), an integrated circuit, a server, a group of servers, and/or the like, and/or another type of communication and/or computing apparatus. In some embodiments, hydration evaluation device 210 may be integrated with multispectral sensor device 205 (e.g., such that multispectral sensor device 205 and hydration evaluation device 210 are on the same chip, in the same package, in the same housing, in the same wearable device, and/or the like). Alternatively, in some embodiments, hydration evaluation device 210 may be separate from multispectral sensor device 205. In some embodiments, the hydration evaluation device 210 may receive information from and/or transmit information to another device in the environment 200, such as the multispectral sensor device 205.

User device 215 includes one or more devices capable of receiving, generating, storing, processing, and/or providing information associated with absorption spectrum data, water content, and/or hydration levels. For example, user equipment 215 may include communication and/or computing devices such as a mobile phone (e.g., a smart phone, a radiotelephone, and/or the like), a laptop computer, a tablet computer, a handheld computer, a desktop computer, a gaming device, a wearable communication device (e.g., a smart wristwatch, a pair of smart glasses, and/or the like), or similar types of devices. In some embodiments, the multispectral sensor device 205 and/or the hydration evaluation device 210 may be integrated with the user device 215 (e.g., such that the multispectral sensor device 205 and/or the hydration evaluation device 210 are included in a housing of the user device 215).

The network 220 includes one or more wired and/or wireless networks. For example, the network 220 may include a wired network (e.g., when the multispectral sensor device 205 and the hydration evaluation device 210 are included in the same package and/or the same chip). As another example, Network 220 may include a cellular Network (e.g., a long-term evolution (LTE) Network, a Code Division Multiple Access (CDMA) Network, a 3G Network, a 4G Network, a 5G Network, another type of next generation Network, and/or the like), a Public Land Mobile Network (PLMN), a Local Area Network (LAN), a Wide Area Network (WAN), a Metropolitan Area Network (MAN), a Telephone Network (e.g., a Public Switched Telephone Network (PSTN)), a private Network, an on-the-fly Network, an intranet, the internet, a fiber-based Network, a cloud computing Network, or the like, and/or a combination of these or other types of networks.

The number and configuration of devices and networks shown in fig. 2 are provided as an example. In practice, there may be additional devices and/or networks, fewer devices and/or networks, different devices and/or networks, or differently configured devices and/or networks than those shown in fig. 2. Further, two or more of the devices shown in fig. 2 may be implemented within a single device, or a single device shown in fig. 2 may be implemented as multiple distributed devices. Additionally or alternatively, a set of devices (e.g., one or more devices) of environment 200 may perform one or more functions described as being performed by another set of devices of environment 200.

Fig. 3 is a schematic diagram of example components of a device 300. The apparatus 300 may correspond to the multispectral sensor apparatus 205, the hydration evaluation apparatus 210, and/or the user apparatus 215. In some embodiments, the multispectral sensor device 205, the hydration evaluation device 210, and/or the user device 215 may include one or more devices 300 and/or one or more components of the devices 300. As shown in fig. 3, apparatus 300 may include a bus 310, a processor 320, a memory 330, a storage component 340, an input component 350, an output component 360, and a communication interface 370.

Bus 310 includes components that permit communication among the various components of device 300. Processor 320 is implemented in hardware, firmware, or a combination of hardware and software. Processor 320 is a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), an Accelerated Processing Unit (APU), a microprocessor, a microcontroller, a Digital Signal Processor (DSP), a field-programmable gate array (FPGA), an application-specific integrated circuit (ASIC), or another type of processing component. In some embodiments, processor 320 includes one or more processors that can be programmed to perform functions. Memory 330 includes a Random Access Memory (RAM), a Read Only Memory (ROM), and/or another type of dynamic or static storage device (e.g., flash memory, magnetic memory, and/or optical memory) that stores information and/or instructions for use by processor 320.

The storage component 340 stores information and/or software related to the operation and use of the device 300. For example, storage component 340 may include a hard disk (e.g., a magnetic disk, an optical disk, and/or a magneto-optical disk), a Solid State Drive (SSD), a Compact Disc (CD), a Digital Versatile Disc (DVD), a floppy disk, a cassette tape, and/or another type of non-transitory computer-readable medium along with corresponding drives.

Input component 350 includes components that permit device 300 to receive information, such as via user input (e.g., a touch screen display, keyboard, keypad, mouse, buttons, switches, and/or microphone). Additionally or alternatively, input component 350 may include a component for determining a location (e.g., a Global Positioning System (GPS) component), and/or a sensor (e.g., an accelerometer, a gyroscope, an actuator, another type of location or environment sensor, and/or the like). Output components 360 include components that provide output information from device 300 (via, for example, a display, a speaker, a haptic feedback component, an audio or visual indicator, and/or the like).

Communication interface 370 includes components of a class of transceivers (e.g., transceivers, separate receivers, separate transmitters, and/or the like) that enable device 300 to communicate with other devices, such as via wired connections, wireless connections, or a combination of wired and wireless connections. Communication interface 370 may permit apparatus 300 to receive information from and/or provide information to another apparatus. For example, the communication interface 370 may include an Ethernet network interface, an optical interface, a coaxial interface, an infrared interface, a Radio Frequency (RF) interface, a Universal Serial Bus (USB) interface, a Wi-Fi interface, a cellular network interface, and/or the like.

Device 300 may execute one or more programs described herein. Device 300 may perform such procedures based on processor 320 executing software instructions stored by a non-transitory computer-readable medium, such as memory 330 and/or storage component 340. As used herein, the term "computer-readable medium" refers to a non-transitory memory device. The memory device includes memory space within a single physical storage device or memory space spread across multiple physical storage devices.

The software instructions may be read into memory 330 and/or storage component 340 from another computer-readable medium or from another device via communication interface 370. When executed, software instructions stored in memory 330 and/or storage component 340 may cause processor 320 to execute one or more programs described herein. Additionally or alternatively, hardware circuitry may be used in place of, or in combination with, software instructions to perform one or more programs described herein. Thus, embodiments described herein are not limited to any specific combination of hardware circuitry and software.

The number and configuration of components shown in fig. 3 are provided as an example. In practice, apparatus 300 may include additional components, fewer components, different components, or components configured differently than those shown in fig. 3. Additionally or alternatively, a set of components (e.g., one or more components) of device 300 may perform one or more functions described as being performed by another set of components of device 300.

Some embodiments described herein allow the hydration evaluation device 210 to determine an estimate of water content in the tissue based on the absorption spectrum data collected by the multispectral sensor device 205, which may be used by the hydration evaluation device 210 to generate biometric data and/or perform biometric monitoring actions. More particularly, some embodiments described herein allow the hydration evaluation apparatus 210 to process absorption spectral data relating to the tissue of an individual in order to determine an estimate of the water content in the tissue and/or an estimate of the hydration level of the individual, thereby facilitating accurate and non-invasive biometric monitoring of the hydration of the individual.

FIG. 4 is a flow diagram of an example process 400 for hydration assessment. In some embodiments, one or more of the process blocks of fig. 4 may be performed by a hydration evaluation apparatus (e.g., the hydration evaluation apparatus 210). In some embodiments, one or more process blocks of fig. 4 may be performed by another device or group of devices separate from or including the hydration evaluation device, such as a multispectral sensor device (e.g., multispectral sensor device 205), a user device (e.g., user device 215), and/or the like.

As shown in fig. 4, process 400 may include obtaining absorption spectrum data associated with tissue of an individual, wherein the absorption spectrum data is obtained for a plurality of wavelength channels (block 410). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, the input component 350, the communication interface 370, and/or the like) may obtain absorption spectrum data associated with the tissue of the individual, as described above. In some embodiments, absorption spectrum data is obtained for a plurality of wavelength channels.

As further shown in fig. 4, the process 400 may include determining an estimate of water content associated with the tissue based on the absorption spectrum data and using a tissue absorption model (block 420). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, and/or the like) may determine an estimate of the water content associated with the tissue based on the absorption spectrum data and using a tissue absorption model, as described above.

As further shown in fig. 4, the process 400 may include determining an estimate of hydration level of the individual based on the estimate of water content (block 430). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, and/or the like) may determine an estimate of the hydration level of the subject based on the estimate of water content, as described above.

As further shown in fig. 4, the process 400 may include performing one or more actions based on the estimate of the hydration level of the individual (block 440). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, the input component 350, the output component 360, the communication interface 370, and/or the like) may perform one or more actions based on the estimate of the hydration level of the individual, as described above.

Process 400 may include additional embodiments, such as any single embodiment or any combination of embodiments described below and/or in conjunction with one or more other processes described elsewhere herein.

In a first embodiment, performing one or more actions includes at least one of: providing an estimate of hydration level; providing a notification indicating that the individual needs water when the estimated value of hydration level meets a threshold; transmitting a notification to a user device of the individual when the estimated value of hydration level meets a threshold; or transmit a notification to a user device of the individual's care provider when the estimated value of hydration level satisfies the threshold.

In a second embodiment alone or in combination with the first embodiment, the device comprises a multispectral sensor device. In a third embodiment, alone or in combination with one or more of the first and second embodiments, the tissue is a skin layer based on a first distance between a light source of the multispectral sensor device and a light detector of the multispectral sensor device, or the tissue is a muscle layer based on a second distance between the light source and the light detector.

In a fourth embodiment, alone or in combination with one or more of the first to third embodiments, the plurality of wavelength channels are associated with near infrared light or visible light. In a fifth embodiment, alone or in combination with one or more of the first to fourth embodiments, the device is configured to be in contact with a skin surface of an individual. In a sixth embodiment, alone or in combination with one or more of the first to fifth embodiments, the tissue of the individual is associated with at least one of a wrist, a finger, an arm, a leg, a head, or an ear.

Although fig. 4 shows example blocks of process 400, in some embodiments, process 400 may include additional blocks, fewer blocks, different blocks, or differently configured blocks than those depicted in fig. 4. Additionally or alternatively, two or more of the blocks of process 400 may be performed in parallel.

FIG. 5 is a flow diagram of an example process 500 for hydration assessment. In some embodiments, one or more of the process blocks of fig. 5 may be performed by a hydration evaluation apparatus (e.g., the hydration evaluation apparatus 210). In some embodiments, one or more process blocks of fig. 5 may be performed by another device or group of devices separate from or including the hydration evaluation device, such as a multispectral sensor device (e.g., multispectral sensor device 205), a user device (e.g., user device 215), and/or the like.

As shown in fig. 5, the process 500 may include obtaining absorption spectrum data associated with tissue of an individual (block 510). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, the input component 350, the communication interface 370, and/or the like) may obtain absorption spectrum data associated with the tissue of the individual, as described above.

As further shown in fig. 5, the process 500 may include performing a fit of the absorption spectrum data to a tissue absorption model (block 520). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, and/or the like) may perform a fitting of the absorption spectrum data to a tissue absorption model, as described above.

As further shown in fig. 5, the process 500 may include determining an estimate of moisture content associated with the tissue based on the fitting (block 530). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, and/or the like) may determine an estimate of the water content associated with the tissue based on the fit, as described above.

As further shown in fig. 5, the process 500 may include determining an estimate of hydration level for the individual based on the estimate of water content (block 540). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, and/or the like) may determine an estimate of the hydration level of the subject based on the estimate of water content, as described above.

As further shown in fig. 5, the process 500 may include performing one or more actions based on the estimate of the hydration level of the individual (block 550). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, the input component 350, the output component 360, the communication interface 370, and/or the like) may perform one or more actions based on the estimate of the hydration level of the individual, as described above.

Process 500 may include additional embodiments, such as any single embodiment or any combination of embodiments described below and/or in conjunction with one or more other processes described elsewhere herein.

In a first embodiment, performing one or more actions includes at least one of: providing an estimate of hydration level; providing a notification indicating that the individual does not require water when the estimated value of hydration level satisfies a threshold; transmitting a notification to a user device of the individual when the estimated value of hydration level meets a threshold; or transmit a notification to a user device of the individual's care provider when the estimated value of hydration level satisfies the threshold.

In a second embodiment, alone or in combination with the first embodiment, absorption spectrum data is obtained for a plurality of wavelength channels. In a third embodiment, alone or in combination with one or more of the first and second embodiments, the tissue absorption model models light scattering and light absorption in tissue.

In a fourth embodiment, alone or in combination with one or more of the first to third embodiments, the fitting of the absorption spectrum data to the tissue absorption model is performed using a non-linear least squares process. In a fifth embodiment, alone or in combination with one or more of the first to fourth embodiments, the fitting of the absorption spectrum data to the tissue absorption model is constrained by a logistic function that provides boundaries for values of water content. In a sixth embodiment, alone or in combination with one or more of the first to fifth embodiments, the process 500 further comprises determining initial values for the tissue absorption model before performing the fitting.

Although fig. 5 shows example blocks of the process 500, in some embodiments, the process 500 may include additional blocks, fewer blocks, different blocks, or differently configured blocks than those depicted in fig. 5. Additionally or alternatively, two or more of the blocks of process 500 may be performed in parallel.

FIG. 6 is a flow diagram of an example process 600 for hydration assessment. In some embodiments, one or more of the process blocks of fig. 6 may be performed by a hydration evaluation apparatus (e.g., the hydration evaluation apparatus 210). In some embodiments, one or more process blocks of fig. 6 may be performed by another device or group of devices separate from or including the hydration evaluation device, such as a multispectral sensor device (e.g., multispectral sensor device 205), a user device (e.g., user device 215), and/or the like.

As shown in fig. 6, the process 600 may include obtaining absorption spectrum data associated with tissue of an individual (block 610). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, the input component 350, the communication interface 370, and/or the like) may obtain absorption spectrum data associated with the tissue of the individual, as described above.

As further shown in fig. 6, the process 600 may include determining an estimate of water content associated with the tissue based on the absorption spectrum data (block 620). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, and/or the like) may determine an estimate of the water content associated with the tissue based on the absorption spectrum data, as described above.

As further shown in fig. 6, the process 600 may include determining an estimate of hydration level for the individual based on the estimate of water content (block 630). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, and/or the like) may determine an estimate of the hydration level of the subject based on the estimate of water content, as described above.

As further shown in fig. 6, the process 600 may include performing one or more actions based on the estimate of the hydration level of the individual (block 640). For example, the hydration evaluation apparatus (e.g., using the processor 320, the memory 330, the storage component 340, the input component 350, the output component 360, the communication interface 370, and/or the like) may perform one or more actions based on the estimate of the hydration level of the individual, as described above.

Process 600 may include additional embodiments, such as any single embodiment or any combination of embodiments described below and/or in conjunction with one or more other processes described elsewhere herein.

In a first embodiment, the one or more actions include at least one of: providing an estimate of hydration level; providing a notification indicating that the individual needs water when the estimated value of hydration level meets a threshold; transmitting a notification to a user device of the individual when the estimated value of hydration level meets a threshold; or transmit a notification to a user device of the individual's care provider when the estimated value of hydration level satisfies the threshold.

In a second embodiment, alone or in combination with the first embodiment, the tissue of the subject is at least one of a skin layer or a muscle layer. In a third embodiment, alone or in combination with one or more of the first and second embodiments, the estimate of the hydration level of the subject is related to at least one of the hydration level in a skin layer of the subject or the hydration level in a muscle layer of the subject. In a fourth embodiment, alone or in combination with one or more of the first to third embodiments, the absorption spectrum data is obtained for a plurality of wavelength channels. In a fifth embodiment, alone or in combination with one or more of the first to fourth embodiments, the estimate of water content associated with the tissue is determined using a tissue absorption model.

Although fig. 6 shows example blocks of the process 600, in some embodiments, the process 600 may include additional blocks, fewer blocks, different blocks, or differently configured blocks than depicted in fig. 6. Additionally or alternatively, two or more of the blocks of process 600 may be performed in parallel.

The foregoing disclosure provides illustration and description, but is not intended to be exhaustive or to limit the embodiments to the precise form disclosed. Modifications and variations are possible in light of the above disclosure or may be acquired from practice of the embodiment modes.

As used herein, the term "component" is intended to be broadly interpreted as hardware, firmware, and/or a combination of hardware and software.

Some embodiment scenarios are described herein in connection with thresholds. As used herein, depending on the context, meeting a threshold may refer to a value as follows: greater than a threshold, greater than or equal to a threshold, less than or equal to a threshold, or the like.

It will be apparent that the systems and/or methods described herein may be implemented in various forms of hardware, firmware, or a combination of hardware and software. The actual specialized control hardware or software code used to implement such systems and/or methods is not limiting of implementation. Thus, the operation and behavior of the systems and/or methods were described herein without reference to the specific software program code — it being understood that software and hardware may be designed to implement the systems and/or methods based on the description herein.

Although particular combinations of features are described in the claims and/or disclosed in the specification, such combinations are not intended to limit the disclosure to various embodiments. Indeed, many of these features may be combined in ways not specifically recited in the claims and/or disclosed in the present specification. Although each dependent claim listed below may directly refer to only one claim, the disclosure of the various embodiments includes each dependent claim in combination with every other claim in the set of claims.

No element, act, or instruction used herein should be construed as critical or essential unless explicitly described as such. Furthermore, as used herein, the words "a" or "an" are intended to include one or more items, and may be used interchangeably with "one or more. In addition, as used herein, the word "the" is intended to include one or more of the items referred to in conjunction with the word "the" and may be used interchangeably with "one or more. Moreover, as used herein, the term "collection" is intended to include one or more items (e.g., related items, unrelated items, combinations of related and unrelated items, and/or the like) and may be used interchangeably with "one or more". Where only one item is intended, the term "only one" or similar language is used. Further, as used herein, the term "having" or the like is intended to be an open-ended term. In addition, the term "based on" is intended to mean "based, at least in part, on" unless explicitly stated otherwise. Additionally, as used herein, the term "or" when used in connection with a series of components is intended to be inclusive and may be used interchangeably with "and/or" unless explicitly stated otherwise (e.g., when used in connection with "any" or "only one of … …).