A wireless multi-modal sphygmomanometer monitoring device and system based on nail sensing

Abstract

The embodiment of the application provides a wireless multi-mode blood pressure chart monitoring device and system based on a nail sensing, and relates to the technical field of blood pressure monitoring. The wireless multi-mode blood pressure chart monitoring device based on the nail sensing comprises a nail patch, a plurality of sensors and a processing module, at least one first sensor in the plurality of sensors is arranged on the nail patch, and the plurality of sensors are used for obtaining a biological signal of a fingertip; the processing module is used for obtaining a target physiological parameter according to the biological signal of the fingertip, and the target physiological parameter comprises a central arterial blood pressure chart. Compared with the prior art in which a finger sleeve is sleeved on a finger to obtain a biological signal, the nail patch is adhered to a nail in the application, is light in weight, is beautiful, is convenient for a user to wear, does not affect normal activities of the user, and can realize long-time monitoring of the user. Meanwhile, compared with the finger sleeve sleeved on the finger to obtain the biological signal, the nail patch can not be affected by skin pulling and can obtain a biological signal of higher quality.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of blood pressure monitoring, in particular, the present application relates to a wireless multi-mode blood pressure graph monitoring device and system based on nail sensing. BACKGROUND

[0002] With people paying more and more attention to their own health conditions, the application of wearable devices is also more and more favored by users, that is, users can monitor and count various physiological parameters of the body in real time through wearable devices, so that users can have intuitive understanding of their own physical conditions, and then take corresponding measures in time. However, most of the current wearable devices are worn on the wrists, fingers and other parts of the users, which affects the normal life of the users, so that it is difficult to ensure long-term monitoring. SUMMARY

[0003] The embodiment of the present application provides a wireless multi-mode blood pressure graph monitoring device and system based on nail sensing, which can solve the problem of how to monitor for a long time by wearing a device. The technical scheme is as follows:

[0004] According to one aspect of the embodiment of the present application, a wireless multi-mode blood pressure graph monitoring device based on nail sensing is provided, which comprises a nail patch, a plurality of sensors and a processing module, at least one first sensor in the plurality of sensors is arranged on the nail patch, and the plurality of sensors are used to obtain biological signals of a fingertip.

[0005] The processing module is used to obtain a target physiological parameter according to the biological signals of the fingertip, and the target physiological parameter comprises a target central arterial blood pressure graph.

[0006] As an optional scheme of the wireless multi-mode blood pressure graph monitoring device based on nail sensing, a chip is further included, and the processing module is selectively integrated on the chip.

[0007] As an optional scheme of the wireless multi-mode blood pressure graph monitoring device based on nail sensing, the processing module is specifically used for:

[0008] The multi-wave pulse wave signal and the acceleration signal are processed in multiple ways to obtain an initial central arterial blood pressure graph corresponding to each way;

[0009] The multi-wave pulse wave signal is channel estimated according to multiple initial central arterial blood pressure graphs, and a channel estimation result is obtained;

[0010] The target central arterial blood pressure graph is obtained according to the channel estimation result.

[0011] As an optional solution of the wireless multi-mode blood pressure graph monitoring device based on the nail sensing, the processing module processes the multi-wave pulse wave signal and the acceleration signal in multiple ways to obtain an initial central arterial blood pressure graph corresponding to each way, including:

[0012] The multi-wave pulse wave signal and the acceleration signal are input into a pre-trained blood pressure prediction model to obtain an initial central arterial blood pressure graph output by the blood pressure prediction model, and the blood pressure prediction model is trained with the multi-wave pulse wave signal and the acceleration signal as samples and with a reference central arterial blood pressure graph as a label;

[0013] The multi-wave pulse wave signal and the acceleration signal are input into a physiological mathematical model to obtain an initial central arterial blood pressure graph output by the physiological mathematical model.

[0014] As an optional solution of the wireless multi-mode blood pressure graph monitoring device based on the nail sensing, the processing module obtains the central arterial blood pressure graph according to the channel estimation result, including:

[0015] The channel estimation result is input into an aortic pressure estimation model based on dictionary learning to obtain the central arterial blood pressure graph.

[0016] As an optional solution of the wireless multi-mode blood pressure graph monitoring device based on the nail sensing, the biological signal includes at least one of a multi-wave pulse wave signal and an acceleration signal, and the multiple sensors include at least one of a multi-wavelength pulse wave sensor and an acceleration sensor, the multi-wavelength pulse wave sensor is used to obtain the multi-wave pulse wave signal, and the acceleration sensor is used to obtain the acceleration signal.

[0017] As an optional solution of the wireless multi-mode blood pressure graph monitoring device based on the nail sensing, the target physiological parameters further include a heart rate, a heart rate variability, a blood oxygen saturation, a blood glucose value, a lactic acid value, and a sleep parameter.

[0018] As an optional solution of the wireless multi-mode blood pressure graph monitoring device based on the nail sensing, the nail patch includes a substrate layer and a protective layer stacked in sequence, the substrate layer is adhered to the nail, the substrate layer is made of a transparent material, the first sensor is arranged on the substrate layer, and the processing module is selectively arranged on the substrate layer; the protective layer is made of a waterproof material.

[0019] As an optional solution of the wireless multi-mode blood pressure graph monitoring device based on the nail sensing, the biological signal includes a pressure signal, and the wireless multi-mode blood pressure graph monitoring device based on the nail sensing further includes a ring with an adjustable expansion size, and the multiple sensors include a pressure sensor arranged on the ring, and the pressure sensor is used to obtain the pressure signal.

[0020] As an optional solution of the wireless multi-mode blood pressure map monitoring device based on nail sensing, the wireless multi-mode blood pressure map monitoring device based on nail sensing further comprises a wireless communication module arranged on the nail patch,

[0021] When the processing module is arranged on the nail patch, the wireless communication module is configured to send the biological signal to the processing module, and the wireless communication module is configured to output the physiological parameter obtained by the processing module;

[0022] When the processing module is arranged separately from the nail patch, the wireless communication module is configured to send the biological signal to the processing module.

[0023] According to another aspect of the embodiments of the present application, a blood pressure map monitoring system is provided, which comprises the wireless multi-mode blood pressure map monitoring device based on nail sensing and a wearable device with a display screen as described above; wherein the wearable device is configured to display pressure prompt information on the display screen, the pressure prompt information being configured to indicate the force of a target finger pressing the display screen; the target finger is the finger wearing the wireless multi-mode blood pressure map monitoring device based on nail sensing.

[0024] The technical scheme provided by the embodiments of the present application has the beneficial effects that: the present application provides a wireless multi-mode blood pressure map monitoring device and system based on nail sensing, compared with the prior art of obtaining biological signals by sleeving a finger with a finger sleeve, the nail patch is adhered to the nail, which is light in weight, beautiful, and mainly worn on the non-dominant hand, which is convenient for users to wear and does not affect the normal activities of the users, thereby enabling long-term monitoring of the users. At the same time, considering that the nail has a certain hardness, compared with sleeving the finger to obtain biological signals, the nail patch can be unaffected by skin pulling and can obtain higher quality biological signals. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the description of the embodiments of the present application will be briefly introduced.

[0026] Figure 1 A schematic diagram of the installation position of the nail patch provided by the embodiments of the present application;

[0027] Figure 2 A structural schematic diagram of the wireless multi-mode blood pressure map monitoring device based on nail sensing provided by the embodiments of the present application;

[0028] Figure 3 A flowchart of the processing of the processing module provided by the embodiments of the present application;

[0029] Figure 4 A structural schematic diagram of a processing module provided for an embodiment of the present application is shown in FIG. 1.

[0030] Figure 5 A structural schematic diagram of a wireless multi-mode sphygmomanometer monitoring device based on nail sensing provided for an embodiment of the present application is shown in FIG. 2.

[0031] Figure 6 A structural schematic diagram of a nail patch provided for an embodiment of the present application is shown in FIG. 3.

[0032] Figure 7 A chip structural schematic diagram of a nail patch provided for an embodiment of the present application is shown in FIG. 4.

[0033] Figure 8 A chip structural schematic diagram of a nail patch provided for an embodiment of the present application is shown in FIG. 5.

[0034] Figure 9 A structural schematic diagram of a sphygmomanometer monitoring system provided for an embodiment of the present application is shown in FIG. 6.

[0035] Figure 10 A structural schematic diagram of a sphygmomanometer monitoring system provided for an embodiment of the present application is shown in FIG. 7. DETAILED DESCRIPTION

[0036] Embodiments of the present application will be described below in conjunction with the accompanying drawings. It should be understood that the embodiments described below in conjunction with the accompanying drawings are exemplary descriptions of the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions of the embodiments of the present application.

[0037] Those skilled in the art can understand that the singular forms "a", "an" and "the" used herein include plural forms unless specifically stated otherwise. It should be further understood that the terms "comprise" and "include" used in the embodiments of the present application mean that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and / or components, but do not exclude other features, information, data, steps, operations, elements, components and / or combinations thereof supported by the present technology. It should be understood that when we say that an element is "connected" or "coupled" to another element, the element can be directly connected or coupled to the other element, or it can mean that the element and the other element are connected through an intermediate element. In addition, the "connection" or "coupling" used herein can include wireless connection or wireless coupling. The term "and / or" used herein means that at least one of the items defined by the term, for example, "A and / or B" can be implemented as "A", or as "B", or as "A and B".

[0038] In order to make the purposes, technical solutions and advantages of the present application clearer, the following further describes the technical solutions of the embodiments of the present application with reference to the drawings.

[0039] The technical solutions of the embodiments of the present application and the technical effects generated by the technical solutions of the present application are described below by describing several exemplary embodiments. It should be noted that the following embodiments can be mutually referenced, borrowed or combined. For the same terms, similar features and similar implementation steps in different embodiments, they are not described repeatedly.

[0040] The embodiments of the present application provide a wireless multi-mode blood pressure chart monitoring device based on nail sensing, as shown in Figure 1 Figure 1 The schematic diagram of the installation position of the nail patch of the embodiments of the present application is exemplarily shown, Figure 2 The structural schematic diagram of the wireless multi-mode blood pressure chart monitoring device based on nail sensing of the embodiments of the present application is exemplarily shown, which comprises a nail patch 100, a plurality of sensors 101 and a processing module 102. At least one first sensor 1011 in the plurality of sensors 101 is arranged on the nail patch 100, and the plurality of sensors 101 are used to obtain the biological signal of the fingertip. The processing module 102 is used to obtain the target physiological parameter according to the biological signal of the fingertip, and the target physiological parameter comprises a target central arterial blood pressure chart.

[0041] The nail patch 100 can be adhered to the nail of the finger or the nail of the toe, and the specific position of the nail patch 100 is not limited in the present embodiment.

[0042] Optionally, the biological information comprises a multi-wave pulse wave signal, and the first sensor 1011 is a multi-wavelength pulse wave sensor. The multi-wavelength pulse wave sensor is used to obtain the multi-wave pulse wave signal at the fingertip blood vessel.

[0043] It should be explained that the multi-wave pulse wave signal is a curve of the change of blood volume with time detected by a PhotoPlethysmography (PPG) method. The multi-wavelength pulse wave sensor refers to a sensor capable of emitting multi-wavelength composite light. The multi-wavelength composite light refers to light composed of multiple monochromatic lights of different wavelengths. Because the absorption and attenuation of blood to each wavelength are different, the multi-wave pulse wave signal can be obtained when the sensor generates multi-wavelength composite light (i.e. light composed of multiple monochromatic lights of different wavelengths). In addition, compared with the prior art of placing an additional device on other parts of the user's body to obtain the multi-wave pulse wave signal, the multi-wavelength pulse wave sensor directly generates multi-wavelength composite light, which greatly reduces the number of parts, miniaturizes the wireless multi-mode blood pressure chart monitoring device based on nail sensing and improves the user experience.​

[0044] Of course, in other embodiments, there are multiple numbers of the nail patch 100, and a plurality of the first sensors 1011 are also provided correspondingly, the plurality of first sensors 1011 respectively obtain biological signals of different fingertips, and the target physiological parameter is obtained by processing the biological signals of the plurality of fingertips through the processing module 102, so that the target physiological parameter is more accurate.

[0045] It can be understood that, compared with the prior art of obtaining biological signals by sleeving a finger sleeve on a finger, the nail patch 100 is adhered to the nail, is light in weight, is beautiful, is mainly worn on a non-dominant hand, is convenient for the user to wear, does not affect the normal activities of the user, and can realize long-time monitoring of the user. At the same time, considering that the nail has a certain hardness, compared with the biological signals obtained by sleeving on the finger, the nail patch 100 can not be affected by skin pulling and can obtain biological signals of higher quality.

[0046] Considering that the nail patch 100 is placed on the nail to monitor the user for a long time, and the target central arterial blood pressure graph is continuous blood pressure information, compared with the intermittent blood pressure information obtained by the prior art through a cuff and the like, only including systolic blood pressure (SBP) and diastolic blood pressure (DBP), the target central arterial blood pressure graph is more accurate in evaluating the heart and cardiovascular system of the user, and ensures the accuracy of the evaluation of the health of the user's body.

[0047] In addition, compared with the intermittent blood pressure information obtained by the prior art through the finger sleeve sleeved on the finger, which is blood pressure information of blood flow at the fingertip, the target central arterial blood pressure graph is blood pressure information at the heart, and the useful information obtained by the target central arterial blood pressure graph is more accurate and rich.

[0048] On the basis of each of the above embodiments, as an optional embodiment, the wireless multi-mode blood pressure graph monitoring device based on nail sensing further includes a chip, and the processing module is selectively integrated on the chip.

[0049] That is, the response speed of obtaining the target central arterial blood pressure graph is improved by integrating the processing module on the chip, the integration and miniaturization of the wireless multi-mode blood pressure graph monitoring device based on nail sensing are facilitated, and the interference with the user's life is further reduced.

[0050] On the basis of each of the above embodiments, as an optional embodiment, as shown in Figure 3 Fig. 4, an exemplary flowchart of the processing of the processing module is shown, and the processing module is specifically used for:

[0051] S200, processing the multi-wave pulse wave signal and the acceleration signal in multiple ways to obtain an initial central arterial blood pressure graph corresponding to each way;

[0052] S201, performing channel estimation on the multi-wave pulse wave signal according to the multiple initial central arterial blood pressure graphs to obtain a channel estimation result;

[0053] S202, obtaining a target central arterial blood pressure graph according to the channel estimation result.

[0054] It should be explained that, on the one hand, considering that the multi-wave pulse wave signal has noise when obtained, the channel estimation is performed on the multi-wave pulse wave signal, so that the target central arterial blood pressure graph obtained is more accurate; on the other hand, considering that the initial central arterial blood pressure graphs obtained by the multi-pulse signal and the acceleration signal through different ways have differences, and each of the multiple ways has advantages and disadvantages, the accuracy of the channel estimation result can be improved by the multiple initial central arterial blood pressure graphs, so that the target central arterial blood pressure graph obtained is more accurate.

[0055] In addition, considering that the noise generated by the multi-wave pulse wave signal mainly comes from the user's movement, the relationship between the user's current movement and the blood pressure is judged by inputting the acceleration signal into the processing module, so as to realize the denoising processing of the multi-wave pulse wave signal and improve the accuracy of the target central arterial blood pressure graph.

[0056] On the basis of the above embodiments, as an optional embodiment, the processing module processes the multi-wave pulse wave signal and the acceleration signal in multiple ways to obtain an initial central arterial blood pressure graph corresponding to each way, including:

[0057] The multi-wave pulse wave signal and the acceleration signal are input into a pre-trained blood pressure prediction model to obtain an initial central arterial blood pressure graph output by the blood pressure prediction model, and the blood pressure prediction model is trained with the multi-wave pulse wave signal and the acceleration signal as samples and with a reference central arterial blood pressure graph as a label;

[0058] The multi-wave pulse wave signal and the acceleration signal are input into a physiological mathematical model to obtain an initial central arterial blood pressure graph output by the physiological mathematical model.

[0059] The reference central arterial blood pressure graph is obtained by a cuff or an invasive blood pressure measurement method.

[0060] It can be understood that the blood pressure prediction model and the physiological mathematical model are two completely different methods for obtaining the initial central arterial blood pressure graph, the blood pressure prediction model is more targeted in obtaining the initial central arterial blood pressure graph due to the involvement of training and samples, and the physiological mathematical model is more universal in obtaining the initial central arterial blood pressure graph by directly obtaining the initial central arterial blood pressure graph through a mathematical formula, and the accuracy of the channel estimation result can be improved by combining the two.

[0061] On the basis of the above embodiments, as an optional embodiment, the processing module obtains the target central arterial blood pressure graph according to the channel estimation result, comprising:

[0062] The channel estimation result is input into the aortic pressure estimation model based on dictionary learning to obtain the target central arterial blood pressure graph.

[0063] It can be understood that in other embodiments, the aortic pressure estimation model can also be based on other algorithms, and the present embodiment does not make specific limitations.

[0064] That is, the target central arterial blood pressure graph is obtained from the multi-wave pulse wave signal obtained from the fingertip blood vessels, thereby ensuring more accurate monitoring of the user.

[0065] On the basis of the above embodiments, as an optional embodiment, as shown in Figure 4 The structure schematic diagram of the processing module, the processing module includes a blood pressure prediction model 300, a physiological mathematical model 301, a channel estimation model 302, and an aortic pressure estimation model based on dictionary learning 303, wherein the blood pressure prediction model 300 is used to obtain the corresponding initial central arterial blood pressure graph according to the multi-wave pulse wave signal and the acceleration signal, the physiological mathematical model 301 is used to obtain the corresponding initial central arterial blood pressure graph according to the multi-wave pulse wave signal and the acceleration signal, the channel estimation model 302 is used to obtain the channel estimation result according to the multi-wave pulse wave signal and the two initial central arterial blood pressure graphs, and the aortic pressure estimation model based on dictionary learning 303 is used to obtain the target central arterial blood pressure graph according to the calibrated multi-wave pulse wave signal.

[0066] It can be understood that in the present embodiment, the multi-wavelength pulse wave signal is obtained based on five different wavelengths, which are x1, x2, x3, x4, and x5. Of course, in other embodiments, the number and type of wavelengths involved in the multi-wavelength pulse wave signal can also be adaptively adjusted, and the present embodiment does not make specific limitations.

[0067] On the basis of the above embodiments, as an optional embodiment, the wireless multi-mode blood pressure graph monitoring device based on the nail sensing further includes a wireless communication module, the wireless communication module is arranged on the nail patch,

[0068] When the processing module is arranged on the nail patch, the wireless communication module is configured to transmit the biological signal to the processing module, and the wireless communication module is configured to output the physiological parameter obtained by the processing module;

[0069] When the processing module is arranged separately from the nail patch, the wireless communication module is configured to transmit the biological signal to the processing module.

[0070] Exemplarily, the processing module can be arranged on other wearable devices.

[0071] On the basis of the above embodiments, as an optional embodiment, the biological signal comprises at least one of a multi-wave pulse wave signal, a pressure signal and an acceleration signal, the plurality of sensors comprises at least one of a multi-wave pulse wave sensor, a pressure sensor and an acceleration sensor, the multi-wave pulse wave sensor is configured to obtain the multi-wave pulse wave signal, the pressure sensor is configured to obtain the pressure signal, and the acceleration sensor is configured to obtain the acceleration signal.

[0072] The multi-wave pulse wave sensor and the acceleration sensor are arranged on the nail patch, and the pressure sensor can be arranged on other wearable devices, which is not limited in the embodiment.

[0073] That is, the multi-wave pulse wave signal is processed to obtain the target physiological parameter; the acceleration signal is used to reduce the noise in the multi-wave pulse wave signal and improve the accuracy of the target physiological parameter; the target physiological parameter changes with the user, and the blood pressure prediction model and the physiological mathematical model may deviate from the physiological condition of the user, so the pressure signal is used to periodically calibrate the blood pressure prediction model and the physiological mathematical model to ensure that the obtained target central arterial blood pressure graph is always accurate.

[0074] It should be explained that the pressure signal is obtained by applying a certain pressure to the blood vessel to make part of the blood vessel wall flat without causing the blood vessel to be occluded, so as to obtain the change curve of the pressure in the blood vessel over time.

[0075] On the basis of the above embodiments, as an optional embodiment, the target physiological parameter further comprises a heart rate, a heart rate variability, a blood oxygen saturation, a blood glucose value, a lactic acid value and a sleep parameter.

[0076] The heart rate, the heart rate variability, the blood oxygen saturation, the blood glucose value, the lactic acid value and the sleep parameter are obtained to comprehensively monitor the user's body and ensure the accuracy of the health assessment of the user's body.

[0077] On the basis of the above embodiments, as an optional embodiment, as Figure 5As shown in the figure, it exemplarily shows a structural schematic diagram of the wireless multi-mode blood pressure graph monitoring device based on the nail sensing, which further comprises a ring 400 with adjustable inflation size, and the plurality of sensors comprise a pressure sensor arranged on the ring 400, and the pressure sensor is used to obtain a pressure signal.

[0078] It can be understood that the blood pressure of the finger blood vessels provided with the ring is changed by adjusting the inflation size of the ring, so as to calibrate the pressure signal, and the oscillometric blood pressure value can be obtained by combining the hydrostatic pressure generated by the slow swing of the arm, and the physiological mathematical model is calibrated by the oscillometric blood pressure value.

[0079] On the basis of the above-mentioned embodiments, as an optional embodiment, in combination with Figure 6 As shown in the figure, it exemplarily shows a structural schematic diagram of the nail patch, which comprises a substrate layer 500 and a protective layer 501 stacked in sequence, the substrate layer 500 is adhered to the nail, and the substrate layer 500 is made of transparent material; a first sensor 502 is arranged on the substrate layer 500, and a processing module 504 is arranged on the substrate layer 500; the protective layer 501 is made of waterproof material. Of course, in other embodiments, the processing module 504 can be arranged on other wearable devices.

[0080] Among them, the wireless multi-mode blood pressure graph monitoring device based on the nail sensing further comprises a power supply module, the power supply module is arranged on the substrate layer 500, and is used to provide electric energy.

[0081] Optionally, when the wireless multi-mode blood pressure graph monitoring device based on the nail sensing comprises the ring with adjustable inflation size, the ring can also be powered by the power supply module.

[0082] Further, the nail patch further comprises a wiring layer 503 arranged between the substrate layer 500 and the protective layer 501, which is used to realize the electrical connection between the first sensor 502, the power supply module and the processing module 504.

[0083] Exemplarily, the substrate layer 500 is made of gallic acid oil gel combined with VHB tape, the VHB tape has better adhesion than the gallic acid oil gel, but the VHB tape has poorer transparency than the gallic acid oil gel, so the multi-wavelength pulse wave sensor can be fixed at the gallic acid oil gel, so that the light emitted can pass through the nail into the blood vessels as much as possible, and the accuracy of the obtained multi-wavelength pulse wave signal is improved.

[0084] Exemplarily, the waterproof layer 501 is made of PVC or PE film, which has good waterproof sealing performance.

[0085] On the basis of the above embodiments, as an optional embodiment, when the processing module is integrated on the chip, in combination with Figure 7 As shown in the figure, the chip estimates the initial central arterial blood pressure graph signal through the blood pressure prediction model and the physiological mathematical model, respectively, and obtains the channel estimation result through the channel estimation model method of the cross relationship, to obtain better estimation performance.

[0086] First, the sensor obtains the differential signal from N channels, and after pre-processing to reduce 1 / f noise and common mode offset, it is amplified by the amplifier. The filter is used to extract the useful biological signal and further eliminate noise.

[0087] Then, the biological signal passes through channel 1 and channel 2, where:

[0088] The biological signal in channel 1 is converted into a digital signal by an analog-to-digital converter and delivered to an artificial intelligence memory computing unit, which stores all the initial central arterial blood pressure graphs trained by a large data set, and all the weights are trained by the 'Mortar' weight compression algorithm to further reduce the computational overhead, and the initial central arterial blood pressure graph is generated after the artificial intelligence multiply-accumulate operation (MACs) process.

[0089] The biological signal in channel 2 is converted into a digital signal by a time-to-digital converter and combined into a specific physiological mathematical model by a physiological module to output the initial central arterial blood pressure graph signal.

[0090] Finally, channel 1 and channel 2 are combined to form a channel estimation model, and the target central arterial blood pressure graph is output through the aortic pressure estimation model based on dictionary learning.

[0091] On the basis of the above embodiments, as an optional embodiment, when the wireless communication module is integrated on the chip, the processing module is separate from the chip and independent, in combination with Figure 8 As shown in the figure, the blood pressure prediction model and the physiological mathematical module are designed in an external display device, such as a mobile phone, and the biological signal is transmitted to the mobile phone through the wireless transmission module, the target central arterial blood pressure graph signal is obtained and output.

[0092] The present application also provides a blood pressure graph monitoring system, in combination with Figure 9As shown, the blood pressure monitoring system comprises the above-mentioned wireless multi-mode blood pressure monitoring device based on nail sensing and a wearable device with a display screen, wherein the wearable device is used to display pressure prompt information on the display screen, the pressure prompt information is used to indicate the force of the target finger pressing the display screen, and the physiological mathematical model is calibrated by obtaining the oscillographic blood pressure value through the force. The target finger is the finger wearing the wireless multi-mode blood pressure monitoring device based on nail sensing, that is, the pressure signal is obtained by pressing the wearable device, and the systolic pressure and diastolic pressure are calculated according to the variable amplitude blood volume oscillation measured by the pressure signal. After obtaining the oscillographic blood pressure value, the physiological mathematical model is calibrated.

[0093] On the basis of the above-mentioned embodiments, as an optional embodiment, in combination with Figure 10 As shown, the structure of the blood pressure monitoring system is exemplarily shown, the wireless communication module of the wireless multi-mode blood pressure monitoring device based on nail sensing comprises a Bluetooth host, which is used to wirelessly connect with other wearable devices and external display devices to output physiological parameters. The other wearable devices can be mobile phones, tablets, computers, watches, glasses, etc., and the external display devices can be medical platforms.

[0094] The terms "first", "second", "third", "fourth", "1", "2", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that shown or described.

[0095] It should be understood that although the flowcharts of the embodiments of the present application indicate the implementation order of each operation step by arrows, the implementation order of these steps is not limited to the order indicated by the arrows. Unless otherwise specified herein, in some implementation scenarios of the embodiments of the present application, the implementation steps in each flowchart can be executed in other orders as required. In addition, part or all of the steps in each flowchart can include multiple sub-steps or multiple stages based on the actual implementation scenario. Part or all of these sub-steps or stages can be executed at the same time, and each of these sub-steps or stages can also be executed at different times. In the scenario where the execution times are different, the execution order of these sub-steps or stages can be flexibly configured according to the requirements, and the embodiments of the present application do not limit this.

[0096] The above-mentioned only optional implementation manners of some implementation scenarios of the present application, it should be pointed out that, for those skilled in the art, without departing from the technical concept of the scheme of the present application, other similar implementation means based on the technical idea of the present application also belong to the protection scope of the embodiments of the present application.

Claims

1. A wireless multimodal blood pressure monitoring device based on nail sensing, characterized in that, The device includes a nail patch, multiple sensors, and a processing module. At least one of the multiple sensors, a first sensor, is disposed on the nail patch. The multiple sensors are used to obtain biosignals from the fingertip. The processing module is used to obtain target physiological parameters based on the biosignals from the fingertip, the target physiological parameters including a target central arterial blood pressure map; The nail patch includes a base layer and a protective layer stacked sequentially. The base layer is adhered to the nail and is made of a transparent material. The first sensor is disposed on the base layer, and the processing module is optionally disposed on the base layer. The protective layer is made of a waterproof material. The wireless multi-mode blood pressure monitoring device also includes a power supply module disposed on the base layer and used to provide electrical energy; there is a wiring layer between the base layer and the protective layer, which is used to realize the electrical connection between the first sensor, the power supply module and the processing module.

2. The wireless multimodal blood pressure monitoring device based on nail sensing according to claim 1, characterized in that, It also includes a chip, on which the processing module may be optionally integrated.

3. The wireless multimodal blood pressure monitoring device based on nail sensing according to claim 1, characterized in that, The processing module is specifically used for: The multi-wave pulse wave signal and acceleration signal were processed in multiple ways to obtain the initial central arterial blood pressure map corresponding to each method; Channel estimation is performed on the multi-wave pulse wave signal based on various initial central arterial blood pressure maps to obtain channel estimation results; The target central arterial blood pressure map is obtained based on the channel estimation results.

4. The wireless multimodal blood pressure monitoring device based on nail sensing according to claim 3, characterized in that, The processing module processes the multi-wave pulse wave signal and acceleration signal in multiple ways to obtain the initial central arterial blood pressure map corresponding to each method, including: The multi-wave pulse wave signal and acceleration signal are input into a pre-trained blood pressure prediction model to obtain an initial central arterial blood pressure map output by the blood pressure prediction model. The blood pressure prediction model is trained using the multi-wave pulse wave signal and acceleration signal as samples and a reference central arterial blood pressure map as a label. The multi-wave pulse wave signal and acceleration signal are input into the physiological mathematical model to obtain the initial central arterial blood pressure map output by the physiological mathematical model.

5. The wireless multimodal blood pressure monitoring device based on nail sensing according to claim 3, characterized in that, The processing module obtains a central arterial blood pressure map based on the channel estimation results, including: The channel estimation results are input into the aortic pressure estimation model based on dictionary learning to obtain the central arterial blood pressure map.

6. The wireless multimodal blood pressure monitoring device based on nail sensing according to any one of claims 1 to 5, characterized in that, The biosignal includes at least one of a multi-wave pulse wave signal, a pressure signal, and an acceleration signal. The plurality of sensors include at least one of a multi-wavelength pulse wave sensor, a pressure sensor, and an acceleration sensor. The multi-wavelength pulse wave sensor is used to obtain the multi-wave pulse wave signal, the pressure sensor is used to obtain the pressure signal, and the acceleration sensor is used to obtain the acceleration signal.

7. The wireless multimodal blood pressure monitoring device based on nail sensing according to any one of claims 1 to 5, characterized in that, The target physiological parameters also include heart rate, heart rate variability, blood oxygen saturation, blood glucose level, lactate level, and sleep parameters.

8. The wireless multimodal blood pressure monitoring device based on nail sensing according to any one of claims 1 to 5, characterized in that, The biosignal includes a pressure signal, and the fingernail-based wireless multimodal blood pressure monitoring device also includes an adjustable-size finger ring. The plurality of sensors include a pressure sensor disposed on the finger ring, which is used to obtain the pressure signal.

9. The wireless multimodal blood pressure monitoring device based on nail sensing according to any one of claims 1 to 5, characterized in that, The nail-sensing-based wireless multimodal blood pressure monitoring device also includes a wireless communication module, which is disposed on the nail patch. When the processing module is placed on the nail patch, the wireless communication module is used to send the biological signal to the processing module, and the wireless communication module is used to output the physiological parameters obtained by the processing module; When the processing module is set separately from the nail patch, the wireless communication module is used to send the biosignal to the processing module.

10. A blood pressure monitoring system, characterized in that, Including the nail-sensing-based wireless multimodal blood pressure monitoring device as described in claims 1-9, and a wearable device with a display screen; The wearable device is used to display pressure prompt information on the display screen, and the pressure prompt information is used to indicate the pressure of the target finger pressing the display screen. The target finger is the finger on which the wireless multimodal blood pressure monitoring device based on nail sensing as described in claim 1 is worn.

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