CN116602644A

CN116602644A - Vascular signal acquisition system and human body characteristic monitoring system

Info

Publication number: CN116602644A
Application number: CN202310581157.7A
Authority: CN
Inventors: 刘然; 宋光远; 李岳; 丁浩冉; 谢开池; 林奕
Original assignee: Fuzhou Wenxin Electronic Technology Co ltd; Beijing Anzhen Hospital
Current assignee: Fuzhou Wenxin Electronic Technology Co ltd; Beijing Anzhen Hospital
Priority date: 2023-05-22
Filing date: 2023-05-22
Publication date: 2023-08-18
Anticipated expiration: 2043-05-22

Abstract

The present disclosure provides a vascular signal acquisition system and a human feature monitoring system. The vascular signal acquisition system is used for gathering vascular signals, includes: at least one low frequency acoustic sensor for detecting blood flow acoustic signals in the blood vessel, the low frequency acoustic sensor having a response frequency of not more than 400 hz; the electrocardio acquisition unit is used for acquiring electrocardio signals of a human body synchronously with the low-frequency sound sensor; the processor unit is used for determining an effective interval of the blood flow sound signal based on the human body electrocardiosignals acquired by the electrocardiosignal acquisition unit; wherein the low frequency sound sensor is applied around a wound of the blood vessel when in use. The blood vessel signal acquisition system is creatively designed, so that the human body characteristic data of the interventional operation patient can be acquired in real time to monitor the postoperative risk of the interventional operation patient, and the use experience of a user is greatly improved.

Description

Vascular signal acquisition system and human body characteristic monitoring system

Technical Field

The disclosure relates to the technical field of medical instruments, and in particular relates to a vascular signal acquisition system, a vascular signal acquisition system and a human body characteristic monitoring system.

Background

With the advancement of modern medical technology, more and more cardiovascular problems can be effectively treated by interventional procedures. Compared with the traditional open chest operation, the interventional operation has the advantages of small wound surface, short operation time, quick recovery of patients, low risk and the like. However, with the development of more and more cardiac interventional operations, how to effectively monitor the patient after the interventional operation is a problem that must be solved.

Currently, the use of conventional monitors to monitor post-operative patient electrocardiography, blood pressure and blood oxygen is the most common means. However, such monitoring is mainly 24 to 72 hours after surgery, and the time required for complete rehabilitation of the intervening patient is much longer than this period, and often needs to be extended from hospital to outside. Another troublesome problem is that the part of the patient involved in the operation may cause postoperative vascular complications such as hematoma, pseudoaneurysms, arterial dissection, arterial perforation, vascular stenosis, etc. These problems, which occur immediately after surgery, are sometimes found after discharge to develop or aggravate over time, if not handled in time, with serious consequences. Conventional monitors have difficulty in effectively monitoring such problems. Devices are also known in the art for pressure sensors for dual leg ankle devices for detecting prolonged arterial occlusion due to partial or total occlusion of the femoral artery, but such methods lack sufficient sensitivity for monitoring blood tumors and pseudoaneurysms caused by poor blood flow in the vicinity of interventional puncture wounds or peripheral blood vessels.

Currently, clinical judgment is mainly based on the feeling of palpation by hands of medical workers or auscultation near a wound by a stethoscope. However, the traditional stethoscope or the modern digital stethoscope adopts a heavy stethoscope head, so that the functions of convenient carrying, real-time acquisition monitoring and remote evaluation cannot be realized, objective and visual display of monitoring results cannot be realized, and the defects of autonomous monitoring by patients outside the hospital and the like are overcome.

Disclosure of Invention

The present disclosure has been made to solve the above-mentioned problems, and an object thereof is to provide a vascular signal acquisition system and a human body characteristic monitoring system capable of acquiring human body characteristic data of an interventional operation patient in real time and monitoring risk of the interventional operation patient after operation.

The present disclosure provides this summary section to introduce concepts in a simplified form that are further described below in the detailed description section. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

To solve the above technical problem, an embodiment of the present disclosure provides a vascular signal acquisition system for acquiring vascular signals, including:

At least one low frequency acoustic sensor for detecting blood flow acoustic signals in the blood vessel, the low frequency acoustic sensor having a response frequency of not more than 400 hz;

the electrocardio acquisition unit is used for acquiring electrocardio signals of a human body synchronously with the low-frequency sound sensor;

the processor unit is used for determining an effective interval of the blood flow sound signal based on the human body electrocardiosignals acquired by the electrocardiosignal acquisition unit;

wherein the low frequency sound sensor is applied around a wound of the blood vessel when in use.

In order to solve the above technical problems, the embodiments of the present disclosure further provide a human body feature monitoring system, which adopts the following technical scheme,

a vascular signal acquisition system as described above;

the intelligent terminal equipment is used for receiving the signals acquired by the vascular signal acquisition system as human body characteristic data and displaying and/or processing the human body characteristic data;

the server is used for receiving and transmitting the human body characteristic data through a network;

and the diagnosis and treatment auxiliary system is used for receiving and processing the human body characteristic data sent by the server.

According to the technical scheme disclosed by the disclosure, compared with the prior art, the blood vessel signal acquisition system is creatively designed, the peripheral blood vessel or the signal of the intervention puncture blood vessel can be accurately acquired in real time, whether the intervention wound is abnormal or not is determined through real-time monitoring of the blood vessel signal, learning and analysis can be carried out according to the acquired human body characteristic data, and the user experience is greatly improved.

Drawings

FIG. 1 is a schematic illustration of a portion of the structure of one embodiment of a vascular signal acquisition system according to the present disclosure;

FIG. 2 is a schematic diagram of one embodiment of a micro-acoustic chamber according to the present disclosure;

FIG. 3 is a block diagram of one embodiment of a vascular signal acquisition system according to the present disclosure;

FIG. 4 is a block diagram of one embodiment of a body characteristic monitoring system according to the present disclosure;

fig. 5 is a schematic diagram of one embodiment of a terminal device according to the present disclosure.

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure; the terms "comprising" and "having" and any variations thereof in the description and claims of the present disclosure and in the description of the figures above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present disclosure. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In order to better understand the present disclosure, a technical solution in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

[ vascular Signal acquisition System ]

As shown in fig. 1 and 3, a schematic diagram and an overall structure diagram of a portion of a structure of an embodiment of a vascular signal acquisition system for acquiring vascular signals according to the present disclosure, and as shown in fig. 2, a schematic diagram of a micro-acoustic chamber of an embodiment. The vascular signal acquisition system of the present disclosure may for example comprise at least one low frequency sound sensor 301 (101/201), at least one low frequency vibration sensor 302 (101), an attachment unit 303 (102), an electrocardiographic acquisition unit 304, a processor unit 305, a movement and acceleration sensor 306, a temperature sensor 307, a pressurizing unit 308, a data transmission unit 309, an energy supply unit 310. In one or more embodiments, at least one low frequency acoustic sensor 301 (101/201) is disposed in the mini-acoustic chamber 202.

Firstly, describing an application scenario of the vascular signal acquisition system of the present disclosure, as shown in fig. 1, for example, after performing an interventional operation on a cardiovascular patient, an interventional puncture wound 104 is formed on a femoral artery 103, and an interventional puncture lead 105 is led out from the interventional puncture wound 104, and since a risk of a hematoma, a pseudoaneurysm, an arterial dissection, an arterial perforation, a vascular stenosis and other complications easily occurs near the interventional puncture wound 104 of the interventional puncture vessel, the vascular signal acquisition system of the present disclosure is attached to a surrounding or peripheral vessel of the interventional puncture vessel during use to perform real-time and highly sensitive vascular signal acquisition and monitoring, where the interventional puncture vessel is not limited to the femoral artery 103, but may be a peripheral vessel of other arterial or venous vessels and other vessels, which are suitable for vessels and other positions according to clinical choices.

In one or more embodiments, the vascular signal acquisition system of the present disclosure includes at least one low frequency sound sensor 301 (101/201) for detecting a blood flow sound signal in an interventional puncture vessel or a peripheral vessel, e.g., the response frequency of the low frequency sound sensor is not higher than 400 hz, the low frequency sound sensor 301 (101/201) being attached around a wound 104 of the interventional puncture vessel or the peripheral vessel when in use;

The present disclosure specifically designs the low frequency acoustic transducer 301 (101/201) to control its response frequency band to a low frequency band while constructing a micro-acoustic chamber 202 to suppress high frequency noise while amplifying low frequency acoustic signals from blood vessels.

In one or more embodiments, as shown in fig. 2, at least one low frequency sound sensor 301 (101/201) is disposed in a micro-acoustic chamber 202, the micro-acoustic chamber 202 being bowl-shaped, preferably having a lower projected area than the projected area of the top, the micro-acoustic chamber 202 being mounted with its lower outer side facing the interventional puncture vessel or peripheral vessel in use, preferably with its lower outer side attached around the puncture vessel.

In one or more embodiments, the volume of the cavity of the low frequency mini-acoustic chamber 202 is required to have an effect of enhancing the segment of vascular audio while having a filtering attenuation effect on signals outside the segment. In one or more embodiments, the micro-acoustic chamber 202 is configured as a bowl-shaped arc-shaped chamber, and a plurality of low-frequency sound sensors 301 (101/201) are disposed along the peripheral wall of the bowl-shaped arc-shaped chamber, and the micro-acoustic chamber 202 is bonded around the wound 104, for example, by a pressurizing unit 308 to be described below, so that the peripheral wall of the micro-acoustic chamber 202 is brought into close contact with the wound 104.

In one or more embodiments, the shape of the mini-acoustic chamber 202 is not limited to an arc-shaped chamber, but may be, for example, a trapezoid-shaped chamber, a triangle-shaped chamber, etc., as long as the projected area of the bottom is smaller than that of the top, so as to achieve close contact between the peripheral wall of the mini-acoustic chamber 202 and the periphery of the wound 104, and avoid that skin tissue is squeezed inside the chamber to influence the accuracy of signal acquisition.

In one or more embodiments, the micro-acoustic chamber 202 is preferably elastic to achieve closer contact with human skin when bound by the pressurizing unit 308, and the main material of the micro-acoustic chamber 202 is one or a combination of several materials such as silicone, rubber, and polyurethane materials to have good elasticity and hardness.

In one or more embodiments, at least one low-frequency sound sensor 301 (101/201) disposed on the micro-acoustic chamber 202 is arranged in a matrix pattern at equal intervals, for example, but not limited thereto, the plurality of low-frequency sound sensors 301 (101/201) may be arranged in other layout patterns, for example, a concentric ring pattern, an irregularly distributed pattern, and the plurality of low-frequency sound sensors 301 (101/201) are not limited to being arranged at equal intervals. The layout, the number, the positions, etc. of the plurality of low-frequency sound sensors 301 (101/201) on the micro-acoustic chamber 202 are not limited, and may be appropriately selected according to the clinic.

In one or more embodiments, the vascular signal acquisition system further includes at least one low frequency vibration sensor 302 (101) for detecting vibration signals of the interventional puncture blood vessel or the peripheral blood vessel, as shown in fig. 1, for example, the at least one low frequency vibration sensor 302 (101) and the at least one low frequency sound sensor 301 (101/201) are arranged in pairs or in combination to acquire abnormal vibration signals generated by angiogenic lesions.

An attaching unit 303 (102) is used, for example, to attach the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101) to the surrounding or peripheral blood vessel around the wound where the puncture blood vessel is interposed.

The electrocardiograph acquisition unit 304 is configured to synchronously acquire a human electrocardiograph signal with at least one low-frequency sound sensor 301 (101/201), and of course, the electrocardiograph signal may also be synchronously acquired within a preset time range; in one or more embodiments, since the vascular sound signal has hysteresis with respect to the electrocardiographic signal, in order to improve accuracy of data acquisition, the electrocardiographic signal of the human body acquired before, for example, 5ms of acquisition of the vascular sound signal is used as the synchronous electrocardiographic signal of the sub-vascular sound signal, which is of course not limited to 5ms, and may be set to be shorter to 1ms or longer to 10ms, for example, according to different individual vascular conditions.

In one or more embodiments, the electrocardiograph collecting unit 304, for example, has a plurality of electrocardiograph electrodes for collecting electrocardiograph information of a human body, an electrocardiograph sensor adjusting circuit for controlling the operation of each electrocardiograph electrode, an electrocardiograph analog-to-digital converter for analog-to-digital converting electrocardiograph information of the human body collected by each electrocardiograph electrode, and the like, for collecting electrocardiograph signals of the human body in contact with the human body, where the number of electrocardiograph electrodes of the electrocardiograph collecting unit 304, the position of contact with the human body, and the like are not limited, as long as a more accurate collection of electrocardiograph signals of the human body can be achieved.

In one or more embodiments, the at least one low-frequency sound sensor 301 (101/201) and the electrocardiograph acquisition unit 304 may be connected, for example, by a wired or wireless manner, and the connection manner is not limited, and may be any network connection manner, for example.

In one or more embodiments of practical application, as shown in fig. 1, for example, a pair of the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101) may be provided as the sensors 101, and the pair of sensors 101 may be provided on both sides of the interventional puncture wound 104. Of course, here, the pair of sensors 101 may be provided with two low-frequency sound sensors 301 (101/201) instead of the low-frequency vibration sensor 302 (101), and the present invention is not limited thereto. Here, one sensor may be disposed at the proximal end and the other sensor may be disposed at the distal end, but the opposite position is not limited to this. Here, a pair of sensors 101 may be provided around the insertion puncture wound 104, and of course, a plurality of pairs of sensors 101 may be provided, and the number is not limited. The distance from the sensor 101 to the insertion puncture wound 104 is not limited. The attachment unit 303 (102) may have one or more sensor pairs, and the number of sensors is determined by a clinical doctor according to conditions such as patient's condition, body type, and blood vessel position.

In one or more embodiments, after the interventional puncture lead 105 is withdrawn, an attachment unit 303 with a sensor 101 is attached (102) prior to compression bandaging.

In one or more embodiments, since the blood flow signal in the blood vessel is a low frequency signal compared to the general vibration and sound signal, the response frequency of the low frequency sound sensor 301 (101/201) and the low frequency vibration sensor 302 (101) is not higher than 400 hertz, preferably not higher than 150 hertz.

In one or more embodiments, the processor unit 305 of the vascular signal acquisition system of the present disclosure is configured to determine the effective interval of the blood flow sound signal based on the electrocardiographic signal of the human body acquired by the electrocardiograph acquisition unit 304, and may control the operation of each unit module, for example, and control the analog-to-digital converter ADC to convert the signals acquired by the low frequency sound sensor 301 (101/201) and the low frequency vibration sensor 302 (101) into electrical signals, because the blood flow sound signals of different individuals have differences, which may make it difficult to determine the acquisition period of the blood flow sound signals in some cases.

Normally, blood flow sounds and vibrations in blood vessels are weak signals relative to heart sound signals acquired at the chest, or pulse signals acquired at the wrist and neck. Even blood flow sounds and vibrations in problematic blood vessels are weak signals. Ambient noise and other interfering signals must be effectively removed for such weak signals while the collected effective signals are amplified.

In one or more embodiments, the processor unit 305 further includes a noise acquisition unit, a filtering unit, and a signal amplification unit (not shown), wherein:

the noise acquisition unit is used for acquiring an environment noise signal synchronously with the low-frequency sound sensor; the processor unit 305 performs noise reduction processing on the blood flow sound signal based on the environmental noise signal.

The filtering unit is used for performing low-pass filtering processing on the electric signal to obtain a noise-reduced electric signal;

and the signal amplifying unit is used for amplifying and adjusting the gain of the noise-reduced electric signal processed by the filtering unit so as to accurately acquire the electric signal.

In one or more embodiments, the noise collection unit, the filtering unit, and the signal amplification unit are not disposed in the processor unit 305, but are disposed in association with the pair of sensors 101, for example, the noise collection unit, the filtering unit, and the signal amplification unit are disposed as low-pass filtering and signal gain adjustment and use of a holding circuit corresponding to the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101), respectively.

In one or more embodiments, the signals acquired by the low frequency sound sensor 301 (101/201) and the low frequency vibration sensor 302 (101) are analog-to-digital converted in the vascular signal acquisition system, for example, by using one analog-to-digital converter ADC, but due to the adoption of two sample-and-hold circuits corresponding to each other, the data acquisition of the two sensor signals is ensured to be completely synchronous.

In one or more embodiments, the vascular signal acquisition system further comprises a temperature sensor 307 for acquiring real-time temperature of the wound site, the processor unit 305 determining the status of the interventional puncture vessel based on the change of the real-time temperature, as the local skin temperature increases due to inflammation caused by vascular lesions around the wound 104. In one or more embodiments, the real-time temperature change at the interventional puncture wound 104 is obtained, for example, by comparison with patient initial data in real-time, for example, by a smart terminal device. In one or more embodiments, an alarm is raised, for example, by pre-setting a monitoring threshold, for example, when the temperature value rises above a pre-set threshold, for example, 1 degree, or when the rate of change of the temperature value exceeds a pre-set threshold, for example, 2%.

In one or more embodiments, the temperature sensor 307 may also, for example, collect real-time in-vivo temperatures, send them to the processor unit 305, and algorithmically obtain the core body temperature. Since the temperature sensor senses the surface temperature, the processor unit 305 needs to calculate the core temperature by an algorithm when obtaining these data. Here, the data and logic of the algorithm is obtained through multiple collations with conventional thermometer data.

In one or more embodiments, the vascular signal acquisition system further includes, for example, a movement and acceleration sensor 306 for detecting the current posture and movement or stationary state of the human body, and inputting the detection result directly into the processor unit 305 through the I2C or the SPI to ensure that the signal acquisition alignment conditions are consistent. The processor unit 305 determines whether signals acquired by the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101) are available based on the detection signals of the movement and acceleration sensor 306. The acquisition and monitoring of vascular vibration signals and acoustic signals is preferably performed while the patient's body is stationary, while the posture of the body is at rest, which is also important for improving the accuracy of the signal analysis, so that, for example, the movement and acceleration sensor 306 monitors that the relevant data is data monitored when the user is moving or in an upright posture, can be sent to the processor unit 305 for data rejection or processing. For example, the movement and acceleration sensor 306 may alert the smart terminal device or other connected device to keep the user in a proper monitoring position when it detects movement or an upright position.

The movement and acceleration sensor 306 may include, for example, an acceleration sensor and a velocity sensor to determine, for example, acceleration information and movement velocity information generated by a blood vessel of a user, and be used to assist in determining blood vessel data information, for example, the acceleration sensor and the velocity sensor in the movement and acceleration sensor 306 collect vibration data of a leg of the user, and according to an acceleration algorithm, perform noise reduction on non-vascular sound vibration therein through filtering processing such as spectral filtering, band-pass filtering, high-pass filtering, and the like, and combine the blood vessel data collected by the blood vessel signal collection system based on the frequency of the collected acceleration, so that the collected blood vessel data is more accurate.

In one or more embodiments, the vascular signal acquisition system further comprises a compression unit 308 for compression bandaging the attachment of the vascular signal acquisition system to the interventional puncture vessel within 24 hours after the interventional procedure. The pressurizing unit 308 is provided with a scale by means of a band, for example, to ensure the pressurizing uniformity, but other means may be employed to ensure the pressurizing uniformity.

In one or more embodiments, the vascular signal acquisition system further comprises: a data transmission unit 309, configured to transmit the data processed by the processor unit 305 to a server or an intelligent terminal device, so as to perform data analysis and data learning; for example, the processor unit 305 transmits the ADC conversion result and the result of the movement and acceleration sensor 306 to the smart terminal device for remote evaluation via the data transmission unit 309.

In one or more embodiments, the data transmission unit 309 is further configured to send the collected user human body characteristic data including the blood flow sound signal, the human body electrocardiosignal, and the like, and the data result of the processing analysis by the processor unit 305 to the user authorized intelligent terminal and/or the hospital, so as to provide the treatment reference to the user or the hospital.

In one or more embodiments, the vascular signal acquisition system further comprises an energy supply unit 310 for providing operating energy to the vascular signal acquisition system, at least to the low frequency sound sensor, the electrocardiograph acquisition unit, for example. In one or more embodiments, the energy supply unit 310 may not include a battery, and is operable to receive a supply of power from the smart terminal or the local server via the charging capacitor and the voltage regulation circuit module. Of course, a battery for power buffer for buffering the charging power may be provided with a smaller capacity. The system adopts a wireless charging mode, the temperature in the charging process is close to the body temperature of a human body, and the on-line charging can be completely realized on the body feeling.

In order to more effectively extract effective vascular sound signals, in addition to collecting signals such as blood flow vibration signals and sound signals in blood vessels and synchronously collecting electrocardiosignals near the interventional puncture wound 104, human heart beat signals such as heart sound signals and pulse signals are collected through a heart beat signal collecting device, and the human heart beat signals such as heart sound signals and pulse signals are utilized to prompt an analysis algorithm of an analysis module to be described later to find effective intervals of the blood flow signals in the blood vessels, and meanwhile, external noise interference is effectively removed.

Heart beat signal acquisition means for example for acquiring a heart beat signal of a human body comprising at least one of heart sound signals and pulse signals;

in one or more embodiments, the cardiac pulse signal acquisition device includes at least one of:

the heart sound acquisition module is provided with a heart sound sensor for acquiring heart sound signals of a human body, a heart sound sensor adjusting circuit for controlling the heart sound sensor to work, and a heart sound analog-to-digital converter for performing analog-to-digital conversion on the heart sound signals of the human body acquired by the heart sound sensor;

the pulse acquisition module is provided with a pulse sensor for acquiring human body pulse signals, a pulse sensor adjusting circuit for controlling the operation of the pulse sensor, and a pulse analog-to-digital converter for performing analog-to-digital conversion on the human body pulse signals acquired by the pulse sensor.

The processor unit determines an effective interval of at least any one of the vibration signal and the blood flow sound signal acquired by the vascular signal acquisition system based on the signal data acquired by the vascular signal acquisition system and the heart beat signal acquisition device, and eliminates external noise interference to perform data processing.

In one or more embodiments, the processor unit, for example, analyzes the acquired body characteristic signal data separately, wherein the signals, for example, heart sounds, electrocardiograms, pulse signals, etc., tend to be analyzed for frequency and sensitivity using an algorithm, and the signals, for example, for temperature, etc., tend to be calibrated using an algorithm to output more accurate data. An algorithm in the processor unit is used for recovering the acquired voltage signals so as to obtain an accurate electrocardiographic curve. The signal transformation is realized through various transformations, so that an accurate electrocardiographic curve and an accurate energy distribution map can be obtained.

In one or more embodiments, the vascular signal acquisition system further includes an analysis module for performing data filtering and validity analysis on the information acquired by the vascular signal acquisition system, for valid data, using a continuous wavelet transform-based signal processing method for performing preliminary feature extraction, and using a deep learning-based artificial intelligence algorithm to extract vascular signals and human heart beat signals.

In one or more embodiments, the vascular signal acquisition system further includes a data comparison module, and after the analysis module processes and analyzes the currently acquired vascular data and heart beat signal data such as heart sounds, electrocardios, pulse signals and the like by using an analysis algorithm, the data comparison module compares the analyzed data such as the blood flow sound signals determined by the processor unit and the like with historical data of the user, and simultaneously compares the analyzed data with known pathological data to determine whether the vascular vibration pressure and the acoustic signals develop to a pathological state or have formed a pathological state so as to determine the physical health state of the user.

In one or more embodiments, the analysis result of the analysis module or the data comparison module may be directly displayed and alarmed at the intelligent terminal device, and meanwhile, the analysis result may be submitted to a diagnosis and treatment auxiliary system such as a nurse station, a data center, a doctor of a patient, etc. through a network, if it is found that abnormality occurs in user information, for example, when comparison with user history data is significantly changed while the data pattern is close to known pathological data, the user is reminded of risk through an alarm module to be described later, and whether abnormality of user information is caused by a device cause is analyzed through a calibration module to be described later, and if the abnormality is caused by the device cause, a correlation algorithm of each data is calibrated.

In one or more embodiments, the vascular signal acquisition system further includes an alarm module for alerting a user when the acquired body characteristic data or abnormal data occurs in the blood flow sound signal determined by the processor unit or the body characteristic data or the comparison result reaches a preset threshold.

In one or more embodiments, the vascular signal acquisition system of the present disclosure further includes a help module for sending a rescue signal to the outside according to the emergency state of the current user determined by the data analysis of the analysis module. For example, help seeking signals are sent to an emergency center or preset emergency contacts so as to determine the monitored human body characteristic information, needed rescue measures and the like, and the accuracy in rescue and the pertinence of the rescue measures are greatly improved.

In one or more embodiments, the vascular signal acquisition system further comprises a calibration module for calibrating the vascular signal acquisition system in the acquired body characteristic data or when abnormal data occurs in the blood flow sound signal determined by the processor unit or at predetermined periods. The calibration module is connected with a calibration circuit, compares the voltage acquired by the calibration circuit with a standard voltage value, and performs calibration after confirming the deviation value. When the calibration module performs calibration, a relation model among all data analyzed by the analysis module is determined, and the data of sensor structures such as blood vessel vibration, blood vessel sound, heart sound, electrocardio and the like are combined to obtain original data through simulation.

And secondly, the calibration module carries out comprehensive measurement joint debugging through special simulation equipment and sensors. By adjusting the sound frequency, the receiving efficiency and the anti-interference capability (out-of-band filtering) of vascular vibration and sound with different frequencies are tested. And determining by simulation a difference between the initial audio profile of the contrast simulation device and the audio profile detected by the sensor based on the current sensor configuration.

Because the membrane of the low-frequency micro acoustic cavity arranged by the low-frequency sound sensor influences the cavity structure, the receiving effect of the cavity on sounds with different frequencies can be changed. The parameters of the membrane are increased during simulation, the membrane is also sensitive to 1-1500 Hz sound, and then the related algorithm is adjusted according to the measured data.

And finally, the calibration module integrates sensor joint debugging according to the original structure data with the film and the current sensor structure, and determines a calibrated algorithm.

Of course, the calibration module may also calibrate the related algorithm in combination with the gesture and motion data of the user acquired by the movement and acceleration sensor 306, so that the acquired data information is more accurate.

In one or more embodiments, the vascular signal acquisition system further comprises an external sensor module, for example, attached to a proper position of the user, such as a 1/3 junction in the sternum, for detecting data information of blood flow rate, body surface temperature, blood oxygen saturation and the like of the user, for example, the vascular signal acquisition system comprises a body surface temperature acquisition unit for acquiring body surface temperature information of a human body; and the blood oxygen acquisition unit is used for acquiring the blood oxygen saturation information and the blood flow velocity of the human body so as to assist in determining the current blood flow state of the heart.

In one or more embodiments, the in vitro sensor module of the present disclosure may be configured to be different when monitoring different positions of a human body, and by detecting the change values and frequencies of external force, body surface temperature, blood oxygen concentration, blood flow velocity, etc., the displacement values and frequencies of the contact points on the surface of the human body are calculated, so as to obtain various kinds of human body characteristic data information such as heart (e.g., heart rate, heart sound), lung respiration, pulse, even whether the patient moves, etc.

In one or more embodiments, the extracorporeal sensor module of the present disclosure may be provided in a plurality, for example, may be applied to different positions of the body at the same time, for example, the chest, the left chest and the right chest are respectively attached, and the fluctuation amplitude of the two chest may be compared; or for the back, multiple, test multi-point data are provided.

In one or more embodiments, for example, in the case of a vascular signal acquisition system such as a sensor patch for interventional puncture wound 104, and in the case of a chest heart beat signal acquisition device such as a heart sound and heart electricity sensor patch, the vascular signal and heart sound and heart electricity signals are transmitted to an intelligent terminal device through a data transmission unit, a doctor, a nurse, a patient and the like can see acquired data waveforms in real time through the intelligent terminal device, and perform preliminary analysis at the intelligent terminal device, and the intelligent terminal device uploads data to a central server by using a network for more comprehensive analysis, recording and archiving. The analysis results may be returned to the intelligent terminal device and the diagnosis and treatment assistance system such as a nurse workstation or the like. It is particularly emphasized that the patient does not have to be in a hospital to achieve the above-described acquisition, analysis and tracking. The patient can carry out autonomous test, acquisition and monitoring in a home environment, and the acquisition, analysis and tracking can be realized as long as the patient has a network at home.

[ human body characteristic monitoring System ]

Next, a structure of a human body characteristic monitoring system of one embodiment of the present disclosure is described. As shown in fig. 4, the system structure may further include terminal devices 401, 402, 403, 404, for receiving signal data collected by the vascular signal collection system as data of human body characteristics and performing display and/or calculation processing, for example; a network (communication module) 405, configured to transmit the human body characteristic data collected by the vascular signal collection system and/or the human body characteristic data sent or received by the terminal device; at least one server (or diagnosis and treatment assistance system) 406 is used for receiving and transmitting the human body characteristic data, for example, the human body characteristic data is transmitted through a network or the human body characteristic data acquired by the blood vessel signal acquisition system and/or the human body characteristic data transmitted or received by the terminal device. The network (communication module) 405 is a medium for providing a communication link between the terminal devices 401, 402, 403, 404 and the server (or diagnosis and treatment assistance system) 406, the vascular signal acquisition system 407. In one or more embodiments, the network (communication module) 405 may be integrated into the vascular signal acquisition system 407, or may be separately configured, where the vascular signal acquisition system may be integrated with a server, or may be separately configured, and the server 406 (or the diagnosis and treatment assistance system) may be a local server, or may be a cloud server.

In this embodiment, an electronic device (for example, terminal device 401, 402, 403, or 404 as shown in the drawing) may perform transmission of various information through network 405. The network 405 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others. It should be noted that the wireless connection may include, but is not limited to, 3G/4G/5G/6G connections, wi-Fi connections, bluetooth connections, wiMAX connections, zigbee connections, UWB connections, local area networks ("LANs"), wide area networks ("WANs"), internets (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as other now known or later developed network connection means. The network 405 may communicate using any currently known or future developed network protocol, such as HTTP (Hyper Text Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network).

The user may interact with the server 406 (or diagnosis and treatment assistance system), the vascular signal acquisition system 407, through the network 405 using the terminal devices 401, 402, 403, 404 to receive or send messages or the like. Various client applications may be installed on the terminal device 401, 402, 403 or 404, such as a video live and play class application, a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, and the like.

The terminal device 401, 402, 403 or 404 may be various electronic devices having a touch display screen and/or supporting web browsing, including but not limited to a smart phone, a tablet computer, an electronic book reader, an MP3 (moving picture experts compression standard audio layer 3) player, an MP4 (moving picture experts compression standard audio layer 4) player, a head mounted display device, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PMP (portable multimedia player), a mobile terminal such as a car navigation terminal, etc., a digital TV, a desktop computer, etc.

The vascular signal acquisition system 407 is described in detail above and is not described in detail herein, but may of course also include a server providing various services, such as a background server providing support for pages or transmitted data displayed on the terminal device 401, 402, 403 or 404.

In one or more embodiments, the diagnosis and treatment assistance system 406 encrypts and stores the received human body characteristic data, establishes a personalized database for different users, establishes a vascular sound and heart sound information model of the users, performs study comparison analysis for the information of the users, performs early warning for the users who may have abnormality, and provides reference for diagnosis and treatment of the users.

In one or more embodiments, the medical system 406 includes information such as user name, gender, age, height, weight, medical history, heart monitoring data, vascular tone body characteristic data, and the like. The medical system 406 may receive the vital sign data of the human body sent from the network data transmission module of the local server 406 via the internet 405 or forwarded from the intelligent terminals 401-404 via the network 405, automatically store, archive, automatically analyze, extract and identify features, etc., and then transmit the analysis result (such as analysis report, health advice, or disease pre-warning, etc.) to the local server 406 and/or the intelligent terminals 401-404 via the internet 405. Of course, the medical system 406 may log in the cloud data center through the smart terminal, the computer, or the like for viewing instead of transmitting the analysis result. In addition, on the premise of permission of the user, the acquired human body vital sign data and analysis results can be called by professional medical personnel or institutions to serve as references for further medical examination or diagnosis. Also, under the premise of user permission, the expert of third-party medical research, data analysis, data statistics and data mining can conduct deeper analysis research on the data. Its study results may be uploaded to the medical system 406 for viewing by the user. The user may also select and customize different analysis and feature extraction algorithms on the medical system 406 and pay a fee for use to the algorithm's developer via the medical system 406, etc.

In one or more embodiments, the relevant data may be acquired and processed, for example, based on artificial intelligence techniques. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.

In one or more embodiments, a machine learning algorithm may discover patterns in and relationships between several independent and interdependent variables that may be derived from data based on learning of a dataset of body characteristic monitoring data from one or more users. Continued consideration of these variables or other learned variables from continuous updates of the algorithm may allow the machine learning algorithm to probabilistically determine, e.g., classify, diagnose, and/or predict the state of the patient. As examples, the machine learning algorithm may be configured to employ any one or more of bayesian, random forest, decision tree, linear regression, deep learning, neural network, and/or dimension reduction techniques. In some examples, a machine learning algorithm is applied to the results of the data, such as a classification of the data contained in the cardiac signal from the vascular signal acquisition system and/or the one or more physiological signals from the extracorporeal sensor module, such as whether the cardiac signal and physiological signal (individually or collectively) are one of normal or abnormal, or indicate one or more other states of the patient, such as whether a treatable tachyarrhythmia is indicated or predicted or whether one or more co-diseases are indicated or predicted.

Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.

It should be understood that the number of terminal devices, network and vascular signal acquisition systems (or servers), production devices in fig. 4 are merely illustrative. There may be any number of terminal devices, network and vascular signal acquisition systems (or servers), production devices, as desired for implementation.

Here, the terminal device may implement the method of the embodiment of the present disclosure independently or by running applications in various operating systems, such as an android system, in cooperation with other electronic terminal devices, or may implement the method of the embodiment of the present disclosure by running applications in other operating systems, such as an iOS system, a Windows system, a hong-and-Monte system, or the like.

[ terminal device ]

Referring now to fig. 5, a schematic diagram of an electronic device (e.g., a terminal device or server in fig. 4) 500 suitable for use in implementing embodiments of the present disclosure is shown. The terminal device in the embodiment of the present disclosure may be various terminal devices in the above-described system. The electronic device shown in the drawings is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 5, the electronic device 500 may include a processing means (e.g., a central processor, a graphics processor, etc.) 501 for controlling the overall operation of the electronic device. The processing means may comprise one or more processors to execute instructions to perform all or part of the steps of the methods described above. The processing device 501 may also include one or more modules for processing interactions with other devices.

The storage 502 is used to store various types of data, and the storage 502 may be a system, apparatus, or device that includes various types of computer readable storage media, or a combination thereof, such as electrical, magnetic, optical, electromagnetic, infrared, or semiconductor, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The sensor means 503 for sensing the prescribed measured information and converting it into a usable output signal according to a certain rule may comprise one or more sensors. For example, it may include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, a temperature sensor, or the like for detecting changes in the on/off state, relative positioning, acceleration/deceleration, temperature, humidity, light, or the like of the electronic apparatus.

The processing means 501, the memory means 502 and the sensor means 503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.

The multimedia device 506 may include an input device such as a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, etc. for receiving input signals from a user, where various input devices may cooperate with various sensors of the sensor device 503 to perform gesture operation input, image recognition input, distance detection input, etc.; the multimedia device 506 may also include an output device such as a Liquid Crystal Display (LCD), speaker, vibrator, etc.

The power supply device 507, which is used to provide power to various devices in the electronic apparatus, may include a power management system, one or more power supplies, and components to distribute power to other devices.

The communication means 508 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data.

Each of the above-described devices may also be connected to the I/O interface 505 to enable the application of the electronic apparatus 500.

While fig. 5 shows an electronic device having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via a communications device, or from a storage device. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by a processing device.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

It is noted that the computer readable medium described above in the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of remote computers, the remote computer may be connected to the user computer through any kind of network or may be connected to an external computer (e.g., connected through the internet using an internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

According to one or more embodiments of the present disclosure, there is provided a vascular signal acquisition system for acquiring vascular signals, comprising:

According to one or more embodiments of the present disclosure, there is provided a vascular signal acquisition system further comprising a mini-acoustic chamber, bowl-shaped, with its bottom outside facing the skin in use;

the at least one low frequency acoustic sensor is disposed in the mini-acoustic chamber.

According to one or more embodiments of the present disclosure, there is provided a vascular signal acquisition system, further comprising:

at least one low frequency vibration sensor for detecting a vibration signal of the blood vessel.

According to one or more embodiments of the present disclosure, there is provided a vascular signal acquisition system, the processor unit further comprising a noise acquisition unit for acquiring an ambient noise signal in synchronization with the low frequency sound sensor;

the processor unit performs noise reduction processing on the blood flow sound signal based on the environmental noise signal.

In accordance with one or more embodiments of the present disclosure, there is provided a vascular signal acquisition system, further comprising,

the movement and acceleration sensor is used for detecting the current human body posture and motion state;

the processor unit judges whether signals collected by the low-frequency vibration sensor and the low-frequency sound sensor are available or not based on detection signals of the movement and acceleration sensors.

a temperature sensor for acquiring real-time temperature of the wound site;

the processor unit determines a state of the blood vessel based on the change in the real-time temperature.

and the pressurizing unit is used for pressurizing the mini acoustic cavity and the attaching unit of the blood vessel.

the data transmission unit is used for transmitting the blood flow sound signal and the human electrocardiosignal to the outside;

and the energy supply unit is used for providing operation energy for at least the low-frequency sound sensor and the electrocardio acquisition unit.

According to one or more embodiments of the present disclosure, there is provided a vascular signal acquisition system comprising:

the low-frequency sound sensor is connected with the electrocardio acquisition unit in a wired mode.

Heart beat signal collection device for gathering heart beat signal, heart beat signal includes heart sound signal and/or pulse signal.

the heart beat signal acquisition device comprises at least one of the following:

the electrocardio acquisition module is provided with a plurality of electrocardio electrodes for acquiring electrocardio signals of a human body, an electrocardio sensor adjusting circuit for controlling the electrocardio electrodes to work, and an electrocardio analog-to-digital converter for carrying out analog-to-digital conversion on the electrocardio signals of the human body acquired by the electrocardio electrodes;

the pulse acquisition module is provided with a pulse sensor for acquiring human body pulse signals, a pulse sensor regulating circuit for controlling the operation of the pulse sensor, and a pulse analog-to-digital converter for performing analog-to-digital conversion on the human body pulse signals acquired by the pulse sensor.

the analysis module is used for carrying out data filtering and effectiveness analysis on the information acquired by the vascular signal acquisition system, carrying out preliminary feature extraction by utilizing a signal processing method based on continuous wavelet transformation, and extracting the vascular signal and the human heart beat signal by utilizing an artificial intelligence algorithm based on deep learning.

a data comparison module for comparing the blood flow sound signal determined by the processor unit with historical data or known pathological data of a user;

and the alarm module is used for sending out an alarm when abnormal data appear in the blood flow sound signals determined by the processor unit or the comparison result reaches a preset threshold value.

and the calibration module is used for calibrating the blood vessel signal acquisition system when abnormal data appear in the blood flow sound signal determined by the processor unit or according to a preset period.

According to one or more embodiments of the present disclosure, there is provided a human body characteristic monitoring system, including:

a vascular signal acquisition system as in any one of the preceding claims;

In accordance with one or more embodiments of the present disclosure, there is provided a human body characteristic monitoring system, characterized in that,

the diagnosis and treatment auxiliary system encrypts and stores the received human body characteristic data, establishes a personalized database for different users, establishes a user electrocardio information model, carries out study comparison analysis on the information of the users, carries out early warning on the users possibly abnormal, and provides reference for diagnosis and treatment of the users.

According to one or more embodiments of the present disclosure, there is provided a computer device comprising a memory having stored therein computer readable instructions which when executed by a processor enable receiving and displaying and/or calculating data of a vascular signal acquisition system as defined in any one of the above.

According to one or more embodiments of the present disclosure, there is provided a computer readable storage medium having stored thereon computer readable instructions which, when executed by a processor, enable receiving and calculating data of a vascular signal acquisition system as described in any one of the above.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.

Claims

1. A vascular signal acquisition system for acquiring vascular signals, comprising:

2. The vascular signal acquisition system of claim 1,

the micro-acoustic cavity is bowl-shaped, and the outer side of the bottom of the micro-acoustic cavity faces the skin when in use;

3. The vascular signal acquisition system of claim 1, further comprising:

4. The vascular signal acquisition system of claim 1,

the processor unit further comprises a noise acquisition unit for acquiring an ambient noise signal in synchronization with the low frequency sound sensor;

5. The vascular signal acquisition system of claim 1, further comprising:

6. The vascular signal acquisition system of claim 1, further comprising,

a temperature sensor for acquiring real-time temperature around the wound;

7. The vascular signal acquisition system of claim 2, further comprising,

and the pressurizing unit is used for pressurizing the attachment of the micro acoustic cavity and the blood vessel.

8. The vascular signal acquisition system of claim 1, further comprising:

9. The vascular signal acquisition system of claim 1,

10. The vascular signal acquisition system of claim 1, further comprising:

and the heart beat signal acquisition device is used for acquiring heart beat signals, and the heart beat signals at least comprise heart sound signals and/or pulse signals.

11. The vascular signal acquisition system of claim 10, wherein the cardiac pulse signal acquisition device includes at least one of:

12. The vascular signal acquisition system of claim 1, further comprising:

13. The vascular signal acquisition system of claim 1, further comprising:

14. A human body characteristic monitoring system, comprising:

the vascular signal acquisition system of any one of claims 1 to 13;

15. The body characteristic monitoring system of claim 14, wherein,

the diagnosis and treatment auxiliary system encrypts and stores the received human body characteristic data, establishes a personalized database for different users, establishes a user human body characteristic data model, performs study comparison analysis on the human body characteristic data of the users, performs early warning on the users possibly abnormal, and provides reference for diagnosis and treatment of the users.