Wearable device, method and system for collecting heart sound data and storage medium

Abstract

The invention relates to the field of heart monitoring, in particular to a wearable device, method and system for collecting heart sound data and a storage medium. The wearable device is worn on the ear of a user and comprises a first sound collection module, a second sound collection module and a processing module. Wherein the first sound acquisition module is used for acquiring heart sound data of a user, and the second sound acquisition module is used for acquiring noise data around the user; and the processing module is used for determining whether the noise data meets a preset condition or not, and determining that the heart sound data is valid data under the condition that the noise data meets the preset condition.

Description

Technical Field

[0001] The present disclosure relates to the field of cardiac monitoring, and more specifically, to a wearable device, method, system and storage medium for collecting cardiac sound data. Background Art

[0002] Cardiovascular disease is one of the most common causes of death worldwide, with millions of people dying from cardiovascular disease every year, including coronary heart disease, heart valve disease, myocarditis, etc. Early screening and diagnosis can timely detect whether patients have cardiovascular risk factors or signs of disease, so that effective intervention measures can be taken as early as possible, which will help reduce the morbidity and mortality of cardiovascular disease and improve patients' symptoms and quality of life.

[0003] Traditional heart detection technology requires a dedicated person to operate the equipment, which makes the detection process inconvenient. The detection of heart sound data inside the ear canal faces the problem that the ear canal heart sound is far away from the heart, the signal strength is weak, and it is easily disturbed by environmental noise, which affects the reliability and accuracy of the detection data. Summary of the invention

[0004] One object of the present disclosure is to provide a wearable device for collecting heart sound data, which can ensure the stability of ear canal heart sound data.

[0005] According to a first aspect of the present disclosure, there is provided a wearable device for collecting heart sound data, the wearable device being worn on the ear of a user, the wearable device comprising a first sound collection module, a second sound collection module and a processing module;

[0006] The first sound collection module is used to collect the user's heart sound data, and the second sound collection module is used to collect the noise data around the user;

[0007] The processing module is used to determine whether the noise data meets a preset condition, and if the noise data meets the preset condition, determine that the heart sound data is valid data.

[0008] Optionally, when the wearable device is worn on the user's ear, the user's ear canal is in a closed environment, the first sound collection module collects the heart sound data in the user's ear canal, and the second sound collection module collects the noise data outside the user's ear canal.

[0009] Optionally, the first sound collection module and the second sound collection module use the same sampling frequency, and always synchronously collect the heart sound data and noise data.

[0010] Optionally, determining whether the noise data meets a preset condition includes:

[0011] When the peak value of the noise data is smaller than a first threshold value, and / or the average decibel value of the noise data is smaller than a second threshold value, it is determined that the noise data meets the preset condition.

[0012] Optionally, the processing module is also used to filter out noise interference in the heart sound data based on the noise data and a pre-training algorithm, when the peak value of the noise data is greater than or equal to a first threshold, or the average decibel value of the noise data is greater than or equal to a second threshold, and determine the heart sound data after filtering out the noise interference as valid data.

[0013] According to a second aspect of the present disclosure, a method for collecting heart sound data is provided, which is applied to a wearable device, wherein the wearable device includes a first sound collection module and a second sound collection module, and the method includes:

[0014] Collecting the user's heart sound data through the first sound collection module, and collecting the noise data around the user through the second sound collection module;

[0015] Determine whether the noise data meets a preset condition, and if the noise data meets the preset condition, determine that the heart sound data is valid data.

[0016] According to a third aspect of the present disclosure, a system for collecting heart sound data is provided, the system comprising the wearable device, the terminal device and the cloud server according to any one of the first aspects, the wearable device further comprising a wireless communication module, the wearable device being communicatively connected with the terminal device and / or the cloud server based on the wireless communication module;

[0017] The wearable device is further configured to upload the heart sound data to the terminal device and / or the cloud server through the wireless communication module when the heart sound data is valid data;

[0018] The terminal device and / or cloud server is used to store the valid data and determine the user's heart state based on the valid data.

[0019] According to a fourth aspect of the present disclosure, a storage medium is provided, on which computer instructions are stored. When the computer instructions are executed by a processor, the steps of any method of the second aspect are implemented.

[0020] One technical effect of the present disclosure is that a wearable device for collecting heart sound data is provided, which is worn on the ear of the user, and the wearable device includes a first sound collection module, a second sound collection module and a processing module; wherein the first sound collection module is used to collect the heart sound data of the user, and the second sound collection module is used to collect the noise data around the user; the processing module is used to determine whether the noise data meets the preset conditions, and when the noise data meets the preset conditions, the heart sound data is determined to be valid data. Through the above-mentioned wearable device, it is possible to detect in real time whether the environmental noise meets the conditions to determine that the collected heart sound data is valid data, thereby avoiding the interference of noise on the heart sound data. The stability of the heart sound data is improved.

[0021] Other features and advantages of the embodiments of the present disclosure will become apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the embodiments of the present disclosure.

[0023] Figure 1 It is a schematic diagram of the structure of a wearable device for collecting heart sound data provided by the present application;

[0024] Figure 2 is a schematic diagram of a wearable device for collecting heart sound data provided by the present application;

[0025] Figure 3 is a flow chart of a method for collecting heart sound data provided by the present application;

[0026] Figure 4 is a schematic diagram of an example of a system for collecting heart sound data provided by the present application. DETAILED DESCRIPTION

[0027] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless otherwise specifically stated.

[0028] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0029] Techniques and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the techniques and equipment should be considered part of the specification.

[0030] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0031] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0032] An embodiment of the present application provides a wearable device 100 for collecting heart sound data. The wearable device is worn on the ear of a user. The wearable device includes a first sound collection module 101, a second sound collection module 102 and a processing module 103; wherein the first sound collection module is used to collect the heart sound data of the user, and the second sound collection module is used to collect the noise data around the user; the processing module is used to determine whether the noise data meets a preset condition, and when the noise data meets the preset condition, determine that the heart sound data is valid data.

[0033] In this embodiment, the wearable device can be any form of device worn on the user's ear, such as headphones, earrings, headbands or fitted devices, etc.

[0034] In this embodiment, the first sound collection module and the second sound collection module can be sound data collection devices such as microphones, accelerometers or VPUs (Voice Pickup Sensors). The first sound collection module can be set at a position that fits the user's ear blood vessels to collect heart sound data, while the second sound collection module can be set at other positions to collect noise data in the user's environment.

[0035] In this embodiment, the processing module may be a processor or microprocessor provided in the wearable device, which may process operations such as instructions. In this example, the processing module may detect whether the noise data meets a preset condition. The preset condition may be determined by pre-testing the wearable device, and the preset condition may be a condition that the ambient noise of the user's surroundings will not affect the heart sound data. When the noise data of the user's environment meets the preset condition, that is, when it does not affect the heart sound data, the heart sound data is determined as valid data, and the collection of the heart sound data is completed, so that it can be subsequently analyzed or uploaded for processing.

[0036] In this example, a wearable device for collecting heart sound data is provided, which is worn on the user's ear. The wearable device includes a first sound collection module, a second sound collection module and a processing module; wherein the first sound collection module is used to collect the user's heart sound data, and the second sound collection module is used to collect the noise data around the user; the processing module is used to determine whether the noise data meets the preset conditions, and when the noise data meets the preset conditions, the heart sound data is determined to be valid data. Through the above-mentioned wearable device, it is possible to detect in real time whether the environmental noise meets the conditions to determine that the collected heart sound data is valid data, thereby avoiding the interference of noise on the heart sound data. The stability of the heart sound data is improved.

[0037] In an example of this embodiment, when the wearable device is worn on the user's ear, the user's ear canal is in a closed environment, the first sound collection module collects heart sound data in the user's ear canal, and the second sound collection module collects noise data outside the user's ear canal.

[0038] In one example of this embodiment, when the wearable device is worn on the ear of the user, the user's ear canal can be in a relatively sealed environment to reduce the impact of noise inside the ear canal. Figure 2 The wearable device in the form of earphones is shown. When the user wears the earphones, the earphones will make the inside of the ear canal in a relatively closed environment. At the same time, the first sound collection module and the second sound collection module in the wearable device can be respectively arranged on both sides of the wearable device, wherein the first sound collection module is arranged on the side close to the ear canal to collect the heart sound data in the user's ear canal. The second sound collection module can be arranged outside to collect the noise data in the surrounding environment. Figure 2 For example, the first sound detection module of the wearable device is set at a position similar to the sound-generating part of the earphone. When the user wears the device, the first sound detection module is close to the closed environment inside the user's ear canal to collect the user's ear canal heart sound data. The second sound detection module can be set on the other side of the earphone-shaped wearable device, that is, the side facing the opposite direction of the ear canal when worn, to detect environmental noise.

[0039] In this example, when the wearable device is worn on the user's ear, the user's ear canal is in a relatively closed environment, so that the first sound collection module can collect heart sound data inside the user's ear canal with less noise interference, reduce the impact of noise, and increase the success rate of heart sound data collection. At the same time, the second device is also continuously monitoring external noise data to avoid the situation where the noise is too loud and affects the heart sound data inside the ear canal.

[0040] In an example of this embodiment, the first sound collection module and the second sound collection module use the same sampling frequency and always synchronously collect heart sound data and noise data.

[0041] In this embodiment, the acquisition frequency and acquisition time of the two sound acquisition modules can be pre-set to a synchronous detection mode to determine whether the noise data collected by the two sound acquisition modules correspond to the heart sound data, which facilitates the processing module to analyze the validity of the heart sound data.

[0042] In an example of this embodiment, determining whether the noise data meets the preset condition includes: when a peak value of the noise data is less than a first threshold, and / or an average decibel value of the noise data is less than a second threshold, determining that the noise data meets the preset condition.

[0043] In this example, whether the noise meets the conditions can be determined based on the peak value of the noise data and the average decibel value of the noise data. In one example, it can be determined by the peak value of the noise data and the preset first threshold value. The first threshold value can be the minimum decibel value at which the noise data can be collected by the first sound collection module. It can be determined based on a pre-test of the wearable device. When the peak value of the noise data collected by the user is greater than or equal to the threshold value, it means that the collected heart sound data will be interfered with by the noise data. At this time, it can be determined that the noise data does not meet the preset conditions, that is, the heart sound data is invalid data and needs to be recollected. When the peak value of the noise data collected by the user is less than the threshold value, it means that the collected heart sound data will not be interfered with by the noise data. At this time, it can be determined that the noise data meets the preset conditions, that is, the heart sound data is valid data.

[0044] In another example, it can be determined by the average decibel value of the noise data and the preset second threshold value. For some scenarios, when the time of the noise data collected by the first sound collection module is short or the decibel number is small, the interference to the heart sound data may not be very large. Therefore, the second threshold value can be the minimum average decibel value that the noise data can affect the heart sound data. The second threshold value can be determined based on the pre-test of the wearable device. When the average decibel value of the noise data collected by the user is greater than or equal to the threshold value, it means that the collected heart sound data will be interfered by the noise data. At this time, it can be determined that the noise data does not meet the preset conditions, that is, the heart sound data is invalid data and needs to be re-collected. When the average decibel value of the noise data collected by the user is less than the threshold value, it means that the collected heart sound data will not be interfered by the noise data. At this time, it can be determined that the noise data meets the preset conditions, that is, the heart sound data is valid data. In another example, the processing module can also determine the heart sound data as valid data only when the decibel value and the noise data meet the preset conditions at the same time. Further reduce the influence of noise data in the heart sound data.

[0045] In this embodiment, the processing module is also used to filter out noise interference in the heart sound data based on the noise data and the pre-training algorithm when the peak value of the noise data is greater than or equal to a first threshold, or the average decibel value of the noise data is greater than or equal to a second threshold, and determine the heart sound data after the noise interference is filtered out as valid data.

[0046] In this embodiment, when the peak value of the noise data is greater than or equal to the first threshold, or the average decibel value of the noise data is greater than or equal to the second threshold, it means that the heart sound data collected by the first sound collection module is also affected by the noise data. Therefore, the noise interference in the heart sound data can be eliminated by the pre-trained noise subtraction algorithm model and the noise data. The algorithm can first pre-process the heart sound data and the noise data to determine that the sampling rate, format and other parameters of the two are the same; then, the noise data is analyzed in the frequency domain, and the spectral characteristics of the noise are identified by Fourier transform. Then, the noise characteristics are used to input algorithms such as adaptive filtering and Wiener filtering, adjust the parameters of the algorithm, and use the algorithm to filter out the noise interference in the heart sound data. After filtering out the noise interference, the heart sound data can also be processed and enhanced.

[0047] In this example, when the collected heart sound data is affected by noise, the interference in the heart sound data can be filtered out through a pre-training algorithm to improve the quality of the heart sound data so that an accurate assessment of the user's heart indicators can be made based on the heart sound data. At the same time, this method can also avoid the problem of users having to repeat tests under the influence of noise.

[0048] In this embodiment, when the wearable device collects heart sound data and noise data, it can first store the two data in the cache space. When the heart sound data is determined to be valid data, the heart sound data can be stored in the device's own memory or in a terminal or cloud connected thereto, and then the data in the cache space can be cleared. When the heart sound data is determined to be invalid data, the noise data and audio data in the cache space can be directly cleared.

[0049] In an example of this embodiment, a method for collecting heart sound data is also provided, which is applied to a wearable device, and the wearable device includes a first sound collection module and a second sound collection module, such as Figure 3 As shown, the method includes steps S11 to S12:

[0050] Step S11, collecting the user's heart sound data through the first sound collection module, and collecting the noise data around the user through the second sound collection module;

[0051] Step S12, determining whether the noise data meets a preset condition, and determining that the heart sound data is valid data when the noise data meets the preset condition.

[0052] In this example, a method for collecting heart sound data is provided, through which it is possible to detect in real time whether the environmental noise meets the conditions, so as to determine whether the collected heart sound data is valid data, avoid the interference of noise on the heart sound data, and improve the stability of the heart sound data.

[0053] Optionally, when the wearable device is worn on the user's ear, the user's ear canal is in a closed environment, the first sound collection module collects heart sound data in the user's ear canal, and the second sound collection module collects noise data outside the user's ear canal.

[0054] Optionally, the first sound collection module and the second sound collection module use the same sampling frequency, and always synchronously collect heart sound data and noise data.

[0055] Optionally, determining whether the noise data meets a preset condition includes:

[0056] When the peak value of the noise data is less than the first threshold value, and / or the average decibel value of the noise data is less than the second threshold value, it is determined that the noise data meets the preset condition.

[0057] Optionally, the method also includes: when the peak value of the noise data is greater than or equal to a first threshold, or the average decibel value of the noise data is greater than or equal to a second threshold, based on the noise data and a pre-training algorithm, filtering out the noise interference in the heart sound data, and determining the heart sound data after filtering out the noise interference as valid data.

[0058] An embodiment of the present application also provides an electronic device, including a processor and a memory, wherein the memory stores computer instructions, and when the computer instructions are executed by the processor, any one of the above-mentioned method embodiments for collecting cardiac sound data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0059] The embodiment of the present application also provides a storage medium on which computer instructions are stored. When the computer instructions are executed by a processor, any one of the above-mentioned method embodiments for collecting heart sound data is implemented, and the same technical effect can be achieved. To avoid repetition, they will not be repeated here.

[0060] In an example of this embodiment, a system for collecting heart sound data is also provided, including any wearable device in the wearable device embodiment for collecting heart sound data, a terminal device, and a cloud server. The wearable device also includes a wireless communication module, and the wearable device is connected to the terminal device and / or the cloud server based on the wireless communication module; the wearable device is also used to upload the heart sound data to the terminal device and / or the cloud server through the wireless communication module when the heart sound data is valid data; the terminal device and / or the cloud server is used to store the valid data and determine the user's heart state based on the valid data.

[0061] In this embodiment, the wearable device may further include a wireless communication module, such as a Bluetooth, WIFI or other communication module, to communicate with a terminal device or a cloud server. In this example, the terminal device may be a mobile phone, a tablet computer or other devices. When the collected heart sound data is valid data, the wearable device may send the data to the terminal device or the cloud server so that the terminal or the cloud server can store or calculate and analyze the data.

[0062] In one example, the system 1000 for collecting heart sound data can be as follows: Figure 4 As shown, the wearable device 100 for collecting heart sound data is communicatively connected to the terminal device, and the terminal device is communicatively connected to the cloud server. In this example, when the wearable device 100 determines that the collected heart sound data is valid data based on the noise data, the heart sound data can be uploaded to the terminal device 200 based on wireless communication, and the terminal device 200 can upload the heart sound data again to the cloud server 300 after receiving the heart sound data.

[0063] In this embodiment, an application may be installed in the terminal device to control the wearable device that collects heart sound data. The user can issue control instructions based on the application to control the wearable device to execute instructions to start and end collection. At the same time, through the application, the terminal device can also display the collection status and specific data status of the heart sound data to the user.

[0064] Each embodiment in the present disclosure is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and equipment embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0065] The above describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0066] The embodiments of the present disclosure may be systems, methods and / or computer program products. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the embodiments of the present disclosure.

[0067] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0068] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0069] The computer program instructions for performing the operation of the embodiments of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of a computer-readable program instruction, and the electronic circuit may execute a computer-readable program instruction, thereby realizing various aspects of the embodiments of the present disclosure.

[0070] Various aspects of the embodiments of the present disclosure are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0071] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0072] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0073] The flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of an instruction, and a part of a module, a program segment or an instruction contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented by a dedicated hardware-based system that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that it is equivalent to implement it by hardware, implement it by software, and implement it by combining software and hardware.

[0074] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A wearable device for collecting heart sound data, characterized in that: The wearable device is worn on the ear of the user, and the wearable device includes a first sound collection module, a second sound collection module and a processing module; The first sound collection module is used to collect the user's heart sound data, and the second sound collection module is used to collect the noise data around the user; The processing module is used to determine whether the noise data meets a preset condition, and if the noise data meets the preset condition, determine that the heart sound data is valid data.

2. The wearable device according to claim 1, characterized in that: When the wearable device is worn on the ear of the user, the ear canal of the user is in a closed environment, the first sound collection module collects the heart sound data in the ear canal of the user, and the second sound collection module collects the noise data outside the ear canal of the user.

3. The wearable device according to claim 2, characterized in that: The first sound collection module and the second sound collection module use the same sampling frequency and always synchronously collect the heart sound data and the noise data.

4. The wearable device according to claim 3, characterized in that: The determining whether the noise data meets a preset condition includes: When the peak value of the noise data is smaller than a first threshold value, and / or the average decibel value of the noise data is smaller than a second threshold value, it is determined that the noise data meets the preset condition.

5. The wearable device according to claim 4, characterized in that: The processing module is also used to filter out noise interference in the heart sound data based on the noise data and a pre-training algorithm when the peak value of the noise data is greater than or equal to a first threshold, or the average decibel value of the noise data is greater than or equal to a second threshold, and determine the heart sound data after filtering out the noise interference as valid data.

6. A method for collecting heart sound data, characterized in that: Applied to a wearable device, the wearable device includes a first sound collection module and a second sound collection module, and the method includes: Collecting the user's heart sound data through the first sound collection module, and collecting the noise data around the user through the second sound collection module; Determine whether the noise data meets a preset condition, and if the noise data meets the preset condition, determine that the heart sound data is valid data.

7. The method according to claim 6, characterized in that When the wearable device is worn on the ear of the user, the ear canal of the user is in a closed environment, the first sound collection module collects the heart sound data in the ear canal of the user, and the second sound collection module collects the noise data outside the ear canal of the user.

8. The method according to claim 7, characterized in that The first sound collection module and the second sound collection module use the same sampling frequency and always synchronously collect the heart sound data and the noise data.

9. The method according to claim 8, characterized in that The determining whether the noise data meets a preset condition includes: When the peak value of the noise data is smaller than a first threshold value, and / or the average decibel value of the noise data is smaller than a second threshold value, it is determined that the noise data meets the preset condition.

10. The method according to claim 9, characterized in that The method also includes: when the peak value of the noise data is greater than or equal to a first threshold, or the average decibel value of the noise data is greater than or equal to a second threshold, based on the noise data and a pre-training algorithm, filtering out noise interference in the heart sound data, and determining the heart sound data after filtering out the noise interference as valid data.

11. A system for collecting heart sound data, characterized in that: The system comprises the wearable device, terminal device and cloud server according to any one of claims 1 to 5, wherein the wearable device further comprises a wireless communication module, and the wearable device is communicatively connected with the terminal device and / or cloud server based on the wireless communication module; The wearable device is further configured to upload the heart sound data to the terminal device and / or the cloud server through the wireless communication module when the heart sound data is valid data; The terminal device and / or cloud server is used to store the valid data and determine the user's heart state based on the valid data.

12. A storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed by a processor, the steps of the method according to any one of claims 6 to 10 are implemented.

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