A method, device and system for collecting vital sign data

Abstract

The present invention provides a method for collecting vital sign data, which includes: obtaining the heart vibration data of a supine subject by placing a vibration sensor under the back of the subject, and synchronously obtaining the ECG data of the subject; performing data validity detection on the ECG data and the heart vibration data to generate a total valid duration of the ECG data and a total valid duration of the heart vibration data; and determining the end of data collection based on the total valid duration of the ECG data and the total valid duration of the heart vibration data.

Description

Technical Field

[0001] The present invention belongs to the field of signal acquisition, and in particular relates to a method, device and system for acquiring vital sign data. Background Art

[0002] With the rapid advancement of science and technology, more and more products based on vibration sensing technology for vital sign monitoring are emerging. Since vibration sensors sense vibration signals, environmental micro-vibrations, the tester's body movements during testing, and the circuit's own noise signals can interfere with signal acquisition. Systems that use vibration sensors to assess or monitor a patient's cardiac function rely on the validity of the acquired data for accurate diagnostic results. This is especially true in rapid assessment scenarios, where data validity is even more important. Therefore, in scenarios where rapid cardiac function assessments require short data acquisition times but high signal quality, a method, device, and system for quickly and efficiently acquiring vital sign data is needed. Summary of the Invention

[0003] The purpose of the present invention is to provide a method, device and system for collecting vital sign data, aiming to solve the problem of rapid and high-quality collection of vital sign data during rapid assessment of cardiac function.

[0004] In a first aspect, the present invention provides a method for collecting vital sign data, characterized in that the method comprises:

[0005] obtaining cardiac vibration data of a supine subject by means of a vibration sensor placed under the back of the subject, and simultaneously obtaining ECG data of the subject;

[0006] Performing data validity detection on the ECG data and the cardiac vibration data to generate a total valid duration of the ECG data and a total valid duration of the cardiac vibration data; and

[0007] The data collection is determined to be complete based on the total valid duration of the ECG data and the total valid duration of the heart vibration data.

[0008] In a second aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program implements the steps of the above-mentioned vital sign data collection method when executed by a processor.

[0009] In a third aspect, the present invention provides a vital sign data collection device, comprising:

[0010] one or more processors;

[0011] Memory; and

[0012] One or more computer programs, the processor and the memory are connected via a bus, wherein the one or more computer programs are stored in the memory and are configured to be executed by the one or more processors, characterized in that the steps of the vital sign data collection method as described above are implemented when the processor executes the computer program.

[0013] In a fourth aspect, the present invention provides a vital sign data acquisition system, comprising:

[0014] a vibration sensor for acquiring cardiac vibration data of the subject;

[0015] an electrocardiogram sensor, configured to obtain ECG data of the subject;

[0016] As for the above-mentioned vital sign data acquisition device, the vital sign data acquisition device is connected to the vibration sensor and the electrocardiogram sensor.

[0017] The present invention detects the validity of the collected ECG data and cardiac vibration data while collecting them, and then determines the end point of data collection based on the effective duration of the data, and outputs and displays the effective duration of the ECG data and the effective duration of the cardiac vibration data, thereby achieving control of the effective data duration in the data collection stage and providing high-quality data for the signal processing work required for subsequent rapid evaluation of cardiac function. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flow chart of the method for collecting vital sign data provided in Example 1 of the present invention;

[0019] Figure 2 This is a structural block diagram of a vital sign data acquisition device provided in Embodiment 3 of the present invention;

[0020] Figure 3 It is a structural diagram of the vital sign data acquisition system provided in the fourth embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and beneficial effects of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0022] In order to illustrate the technical solution of the present invention, specific embodiments are provided below.

[0023] Example 1:

[0024] See also Figure 1The physical sign data collection method 100 provided in the first embodiment of the present invention includes the following steps. It should be noted that if there are substantially the same results, the ankle pump exercise assessment method of the present invention is not based on Figure 1 The process sequence shown is limited.

[0025] S101 . Obtain cardiac vibration data of a subject by placing a vibration sensor under the back of the subject lying supine, and simultaneously obtain ECG data of the subject.

[0026] In the first embodiment of the present invention, the vibration sensor may be one or more of an acceleration sensor, a velocity sensor, a displacement sensor, a pressure sensor, an optical fiber sensor, or a sensor that converts physical quantities based on acceleration, velocity, pressure, or displacement (e.g., an electrostatic charge sensitive sensor, an inflatable micro-vibration sensor, a radar sensor, etc.). The strain sensor may be an optical fiber sensor.

[0027] In the first embodiment of the present invention, the subject can lie supine with their legs naturally flat. For example, in the supine position, the vibration sensor can be positioned below the subject's back on the medical bed. The cardiac vibration data can be one or more signals, and correspondingly, one or more vibration sensors can be configured. When there are multiple vibration sensors, they can be arranged along the subject's height or along the left-right direction of the body.

[0028] The ECG data of the subject may be obtained by using electrodes, an ECG clip, or an ECG bulb, etc., and at least one lead of the ECG signal is collected.

[0029] ECG data and cardiac vibration data are collected synchronously using the time axis. Time correction can be performed based on the system delay between different data to meet the needs of subsequent data processing. Time correction compensation can also be performed during data processing to ensure that the data meets the synchronization indicators.

[0030] S102: Perform data validity detection on the heart vibration data and the ECG data to generate a total valid duration of the ECG data and a total valid duration of the heart vibration data.

[0031] In the first embodiment of the present invention, S102 may include the following steps:

[0032] S1021 , dividing the ECG data and the cardiac oscillation data into cardiac cycle waveforms.

[0033] S1022. Determine whether the ECG data is valid for each cardiac cycle. If valid, add the data duration to the total valid ECG data duration.

[0034] Specifically, the ECG data waveform is divided into cardiac cycle waveforms, and the waveform of each cardiac cycle is tested for validity, wherein the validity test refers to performing feature analysis on the data to be tested, and then judging whether the data to be tested meets the validity index. If it meets the criteria, the data is valid, and if it does not meet the criteria, the data is invalid. The validity test of the ECG data waveform for each cardiac cycle can specifically be a morphological conformity judgment of the ECG data in each cardiac cycle. First, a quantifiable waveform quality assessment index is generated based on one or more of the morphology, contour, amplitude, period, variability, etc. of the key feature points (such as P wave, Q wave, R wave, S wave, T wave, U wave). Then, the waveform quality assessment index is compared with a pre-set standard ECG waveform quality index. If it meets the validity comparison rules, the waveform of this cardiac cycle is judged to be valid and is accumulated to the total valid duration of the ECG data. If the waveform of this cardiac cycle is judged to be invalid, it is not accumulated to the total valid duration of the ECG data. Among them, when the waveform quality evaluation index adopts a numerical value, the validity comparison rule can be that the waveform quality evaluation index to be judged is considered valid within the range of ±5% of the standard ECG waveform quality index, and invalid otherwise. The waveform quality evaluation index can also be further quantified by graded quantification, and the waveform quality evaluation index of each cardiac cycle of the ECG data is set to grade A, grade B, grade C and grade D according to the quality from high to low. The standard ECG waveform quality index is grade A. When the waveform quality evaluation index to be judged is above grade C, that is, grade A, grade B, grade C, it is considered valid data, otherwise it is invalid. ECG data may have individual differences. In other embodiments of the present invention, the ECG data validity comparison rule can also be adjusted according to the object to be evaluated.

[0035] S1023. Determine whether the cardiac vibration data is valid for each cardiac cycle. If valid, add the data duration to the total valid duration of the cardiac vibration data.

[0036] Since the cardiac vibration data is obtained through a vibration sensor, the disturbance of the surrounding environment or the body movement of the tester will interfere with the signal acquisition. Therefore, before the validity test of the cardiac vibration data is performed, the cardiac vibration data is preprocessed, including at least one of filtering, denoising, and signal scaling. Specifically, it can be: according to the requirements of the signal characteristics after filtering, one or more combinations of IIR filters, FIR filters, wavelet filters, zero-phase bidirectional filters, polynomial fitting smoothing filters, integral transforms, and differential transforms are used to filter and denoise the cardiac vibration data. Preprocessing can also include: determining whether the cardiac vibration data carries an industrial frequency interference signal. If so, the industrial frequency noise is filtered out by an industrial frequency notch filter. In addition, preprocessing can also include denoising some high-frequency noise (for example, above 45Hz).

[0037] Validity testing of cardiac vibration data includes, but is not limited to, dividing cardiac vibration data into cardiac cycle waveforms and performing validity testing on the waveform of each cardiac cycle, such as morphological conformity determination. A quantifiable waveform quality assessment index is first generated based on one or more of the morphology, contour, amplitude, period, and responsiveness of key feature points (e.g., H wave, I wave, J wave, K wave, L wave, M wave, and N wave). The waveform quality assessment index is then compared with a pre-set standard cardiac vibration waveform quality index. If the validity comparison rule is met, the waveform of this cardiac cycle is determined to be valid and is accumulated into the total valid duration of the cardiac vibration data. If the waveform of this cardiac cycle is determined to be invalid, it is not accumulated into the total valid duration of the cardiac vibration data. The validity comparison rule may be that the waveform quality assessment index to be determined is considered valid if it is within ±5% of the standard cardiac vibration waveform quality index, and invalid otherwise. The waveform quality assessment index can also be further quantified using a hierarchical approach. The waveform quality assessment index for each cardiac cycle of the cardiac vibration data can be assigned grades A, B, C, and D, from high to low. The standard cardiac vibration data waveform quality index is grade A. Data with a waveform quality assessment index above grade C (i.e., grade A, B, or C) is considered valid, while data with a quality assessment index below grade is considered invalid. Cardiac vibration data exhibits individual variability. In other embodiments of the present invention, the cardiac vibration data validity comparison rules can be adjusted based on the individual's condition (e.g., age, weight, presence of underlying diseases, etc.).

[0038] In the first embodiment of the present invention, steps S1022 and S1023 can be performed in parallel. Data validity testing of the cardiac oscillation data and ECG data can be performed in real time. When acquiring cardiac oscillation data and ECG data for the next cardiac cycle, data validity testing is simultaneously performed on the acquired cardiac oscillation data and ECG data for the current cardiac cycle.

[0039] S103 : Determine the end of data collection based on the total effective duration of the ECG data and the total effective duration of the heart vibration data.

[0040] The end of data collection is determined based on the total effective duration of the ECG data and the total effective duration of the cardiac vibration data. Specifically, when the total effective duration of the ECG data is greater than or equal to the set data effective duration threshold, and the total effective duration of the cardiac vibration data is also greater than or equal to the set data effective duration threshold, the data collection quality is qualified and collection is terminated. For example, in the scenario of rapid cardiac function assessment, the data effective duration threshold can be set to 60 seconds, 90 seconds, etc. When the total effective duration of the ECG data and cardiac vibration data collection is both greater than or equal to 90 seconds, data collection is terminated.

[0041] In embodiment 1 of the present invention, basic parameters such as age, gender, height, and weight of the tester can also be collected before the test as parameters for setting the data valid time threshold. Therefore, the data valid time threshold can be changed according to the test environment and the tester.

[0042] In some embodiments of the present invention, the vital sign data collection method 100 may further include the following steps:

[0043] S104: Output the total valid duration of the ECG data and the total valid duration of the cardiac vibration data to an output device. The display methods for the total valid duration of the ECG data and the total valid duration of the cardiac vibration data may include, but are not limited to, direct time accumulation display, progress bar, pie chart filling, etc. For example, when the total valid duration of the ECG data and the total valid duration of the cardiac vibration data are output to a display, the total valid duration of the ECG data and the total valid duration of the cardiac vibration data may be displayed using duration timer 1 and duration timer 2, respectively. After the validity of the ECG data and the cardiac vibration data is checked in step S102, the total valid duration of the ECG data and the total valid duration of the cardiac vibration data are updated.

[0044] Specifically, after determining the end point of data collection, the total effective duration of ECG data and the total effective duration of cardiac vibration data can be displayed on a user interaction device (such as a tablet computer, mobile phone, touch-screen display, etc.), and a prompt message can also be sent to the collector to prompt the collector to end the collection work and remove the ECG collection equipment from the test subject. For example, a pop-up window can be displayed on the GUI interface, such as "The effective duration of the collected data has reached the standard, please end the collection", or similar phrases can be played to prompt, or prompts can be played by playing prompt sounds such as beeping, dripping, etc. to indicate that the collection can be completed, or by flashing lights, a revolving lantern, a progress bar completion, a pie chart filling completion, etc. to indicate that the collection can be completed. In some embodiments of the present invention, the ECG data collection duration, the cardiac vibration data collection duration, etc. can also be displayed on the user interaction GUI interface. The display method can include but is not limited to direct time cumulative value display, progress bar, pie chart filling, etc.

[0045] S105. Output the ECG data and cardiac oscillation data to a display device for waveform display. For example, the ECG data waveform and cardiac oscillation data waveform can be displayed on a handheld device. The output can be real-time, allowing the collector (doctor, nurse, or caregiver, etc.) to observe the waveform quality of the collected data in real time. Furthermore, the waveform quality index of the ECG data and the waveform quality index of the cardiac oscillation data can also be output to the display device for display, providing a reference for the collector. Step S105 can be executed in parallel with step S104.

[0046] In the first embodiment of the present invention, data interference analysis can also be performed on the ECG data. By performing waveform morphology analysis on the ECG data, it is determined whether the ECG data is interfered with by power frequency, whether there is a lead detachment, etc., and then ECG signal interference prompt information is generated and output through a display device or a sound device. The cardiac vibration data is judged based on the waveform morphology analysis to determine whether it is interfered with by body movement, or whether there is a tester on the vibration sensor, or whether it is interfered with by the tester's muscle movement signal, and then cardiac vibration data interference prompt information is generated. The ECG signal interference prompt information and the cardiac vibration data interference prompt information are output through a display device or a sound device. For example, a pop-up window is displayed on the GUI interface to prompt "ECG lead detached, please reconnect", "Cardiac vibration data is interfered with by body movement, please keep still" and other similar terms, or a prompt tone is played when a lead is detached.

[0047] Example 2:

[0048] A second embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the vital sign data collection method provided in the first embodiment of the present invention are implemented.

[0049] Example 3:

[0050] A third embodiment of the present invention provides a vital sign data collection device, Figure 2 FIG2 is a block diagram of a vital sign data collection device 200. The vital sign data collection device 200 may be a dedicated computer device specially designed to process vibration information from a vibration sensor.

[0051] For example, the vital sign data acquisition device 200 may include a communication port 201 connected to a network connected thereto to facilitate data communication. The vital sign data acquisition device 200 may also include a processor 203, which is in the form of one or more processors for executing computer instructions. The computer instructions may include, for example, routines, programs, objects, components, data structures, processes, modules, and functions for executing the vital sign data acquisition method 100 described in the first embodiment of the present invention. For example, the processor 203 may obtain cardiac vibration information collected by a vibration sensor and ECG information collected by an ECG device, and perform validity detection on the cardiac vibration information and ECG data.

[0052] In some examples, the processor 203 may include one or more hardware processors, such as a microcontroller, a microprocessor, a reduced instruction set computer (RISC), an application-specific integrated circuit (ASIC), a graphics processing unit (GPU), a central processing unit (CPU), a digital signal processor (DSP), a field programmable gate array (FPGA), an advanced RISC machine (ARM), a programmable logic device (PLD), or any circuit or processor capable of performing one or more functions, or any combination thereof.

[0053] The vital sign data collection device 200 may include an internal communication bus 205 for internal communication within the system, a memory 207 configured to store data and instructions, and program instructions stored in other types of non-transitory storage media in the memory 207 for execution by the processor 203. The methods and / or processes of the present application can be implemented as program instructions. The vital sign data collection device 200 also includes an input / output component 209, which is configured to support data input / output. For example, the test subject or other collection personnel can use an input device (such as a keyboard, a touch screen, etc.) to input some data into the vital sign data collection device 200 through the input / output component 209, such as the test subject's age, gender, height, weight, etc. The vital sign data collection device 200 can also output data to an output device (such as a display, a printer, etc.) through the input / output component 209.

[0054] It should be understood that for ease of description, only one processor is described in the vital sign data acquisition device 200 in this application. However, it should be noted that the vital sign data acquisition device 200 in this application may also include multiple processors. Therefore, the operations and / or method steps disclosed in this application may be performed by a single processor as described in this application, or may be performed jointly by multiple processors. For example, if the processor 203 of the vital sign data acquisition device 200 in this application performs steps A and B, it should be understood that steps A and B may also be performed jointly or separately by two different processors in the information processing (for example, the first processor performs step A, the second processor performs step B, or the first and second processors jointly perform steps A and B).

[0055] Example 4:

[0056] A fourth embodiment of the present invention provides a vital sign data acquisition system, including:

[0057] a vibration sensor for acquiring cardiac vibration data of the subject;

[0058] an electrocardiogram (ECG) sensor for acquiring ECG data of the subject; and

[0059] Embodiment 3 of the present invention provides a vital sign data collection device.

[0060] like Figure 3 FIG. 3 is a schematic diagram of a vital sign data acquisition system 300 . A vital sign data acquisition system 300 may include, but is not limited to, one or more vibration sensors 301 , one or more electrocardiogram sensors 307 , one or more vital sign data acquisition devices 303 , one or more storage devices 305 , and one or more output devices 309 .

[0061] The vibration sensor 301 may be an acceleration sensor, a velocity sensor, a displacement sensor, a pressure sensor, a strain sensor, or a stress sensor. Furthermore, it may be a sensor that converts physical quantities based on acceleration, velocity, displacement, or pressure (e.g., an electrostatic charge sensitive sensor, an inflatable micro-motion sensor, a radar sensor, etc.). The strain sensor may be an optical fiber sensor. The vibration sensor may not be in direct contact with the object. For example, when the vibration sensor is an optical fiber sensor, the optical fiber sensor may be placed under the back of a supine object, and the optical fiber sensor may be in an array.

[0062] The ECG sensor 307 is used to collect ECG data of the test subject, and can be an ECG clip that is clipped on the wrist of the test subject to collect ECG data, such as Figure 3 As shown, ECG sensor 307 can also be an ECG bulb. When the test subject lies supine, they can place their hands on the ECG bulb to collect ECG data. ECG sensor 307 can also be an ECG patch, which is attached to the subject's skin to collect ECG data. ECG sensor 307 can also be a handheld ECG collector, which the test subject holds with both hands to collect ECG data. ECG sensor 307 can be a single-lead sensor or a twelve-lead sensor.

[0063] As described in the third embodiment of the present invention, the vital sign data acquisition device 303 can be connected to the vibration sensor 301 and the electrocardiogram sensor 307 via a network 320. The network 320 can be a single network, such as a wired network or a wireless network, or a combination of multiple networks. The network 320 can include, but is not limited to, a local area network, a wide area network, a shared network, a dedicated network, etc. The network 320 can include multiple network access points, such as wireless or wired access points, base stations, or network access points. These access points enable other components of the vital sign data acquisition system 300 to connect to the network 103 and transmit information via the network. The vital sign data acquisition device 303 can also be connected to the vibration sensor 301 and the electrocardiogram sensor 307 via a data transmission line.

[0064] Storage device 305 can be configured to store data and instructions. Storage device 305 may include, but is not limited to, random access memory (RAM), read-only memory (ROM), and programmable read-only memory (PROM). Storage device 305 may be a device that stores information electrically, magnetically, or optically, such as a hard disk, floppy disk, magnetic core memory, CD, or DVD. The storage devices mentioned above are merely examples, and the storage device 305 is not limited to these.

[0065] In some examples, the vital sign data acquisition system 300 may further include an output device 309, which is configured to output information indicating the completion of vital sign data acquisition. The output methods include but are not limited to graphics, text, data, voice, etc., such as one or more of graphic display, digital display, voice broadcast, Braille display, etc. The output device 309 may be one or more of a display, a mobile phone, a tablet computer, a projector, a wearable device (a watch, headphones, glasses, etc.), a Braille display, etc. In some examples, the output device 309 may display the ECG data waveform and the cardiac vibration data waveform of the subject in real time. The output device 309 may also implement a prompt function, such as through voice prompts. When the test subject's ECG connection is wrong and there is no ECG signal, or when the test subject's lying position deviates, the test subject or the acquisition personnel may be prompted by voice to check and reconnect the ECG connection, and the test subject may adjust its position, etc.

[0066] The present invention detects the validity of the collected ECG data and cardiac vibration data while collecting them, and then determines the end point of data collection based on the effective duration of the data, and outputs and displays the effective duration of the ECG data and the effective duration of the cardiac vibration data, thereby achieving control of the effective data duration in the data collection stage and providing high-quality data for the signal processing work required for subsequent rapid evaluation of cardiac function.

[0067] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, which may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for collecting vital sign data for cardiac function assessment, characterized in that: The method comprises: obtaining cardiac oscillation data of a subject lying supinely by means of an optical fiber sensor placed under the back of the subject, and simultaneously obtaining ECG data of the subject; Performing data validity detection on the ECG data and the cardiac vibration data to generate a total valid duration of the ECG data and a total valid duration of the cardiac vibration data; and When the total effective duration of the ECG data and the total effective duration of the cardiac vibration data are both greater than or equal to the set effective duration threshold, data collection ends; The process of performing data validity detection on the ECG data and the cardiac vibration data to generate the total valid duration of the ECG data and the total valid duration of the cardiac vibration data includes: Performing cardiac cycle waveform division on the ECG data and the cardiac vibration data; Perform morphological conformity judgment on the ECG data within each cardiac cycle, and generate a quantifiable waveform quality assessment index based on one or more of the morphology, contour, amplitude, period, or variability of key feature points. If the waveform quality assessment index is within ±5% of the pre-set standard ECG waveform quality index, the ECG data is valid, and its data duration is accumulated into the total valid ECG data duration; Performing morphological conformity judgment on the cardiac vibration data within each cardiac cycle, generating a quantifiable waveform quality assessment index based on one or more of the morphology, contour, amplitude, period, or variability of key feature points. If the waveform quality assessment index is within ±5% of a preset standard cardiac vibration waveform quality index, the cardiac vibration data is valid, and its data duration is accumulated into the total valid duration of the cardiac vibration data; In the cardiac function assessment, the set effective time threshold is 60 seconds or 90 seconds.

2. The method according to claim 1, wherein The method further comprises: Output the total effective duration of the ECG data and the total effective duration of the heart vibration data to an output device.

3. The method according to claim 2, wherein Outputting the total effective duration of the ECG data and the total effective duration of the cardiac oscillation data to an output device is specifically: The total effective duration of the ECG data and the total effective duration of the cardiac vibration data are output to a display device, and the display mode includes one or more of time accumulation value display, progress bar display, and fan-shaped graph filling display.

4. The method according to claim 2, wherein The method further comprises: The ECG data and cardiac oscillation data are output to a display device for waveform display.

5. The method according to claim 1, wherein The method further comprises: Based on the total effective duration of the ECG data and the total effective duration of the heart vibration data, ECG signal interference prompt information and heart vibration data interference prompt information are generated.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the vital sign data collection method according to any one of claims 1 to 5 are implemented.

7. A vital sign data acquisition device for cardiac function assessment, comprising: one or more processors; Memory; as well as One or more computer programs, the processor and the memory are connected via a bus, wherein the one or more computer programs are stored in the memory and are configured to be executed by the one or more processors, wherein the processor implements the steps of the vital sign data collection method according to any one of claims 1 to 5 when executing the computer program.

8. A vital sign data acquisition system comprising: a fiber optic sensor for acquiring cardiac vibration data of the subject; an electrocardiogram (ECG) sensor for acquiring ECG data of the subject; The vital sign data acquisition device according to claim 7, wherein the vital sign data acquisition device is connected to the optical fiber sensor and the electrocardiogram sensor.

9. The system according to claim 8, wherein The system further comprises: A display device for displaying one or more of the waveform of the ECG data, the waveform of the cardiac vibration data, the total effective time of the ECG data, the total effective time of the cardiac vibration data, ECG signal interference prompt information, or cardiac vibration data interference prompt information.

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