Smart all-in-one heart patch device and operating method thereof
The smart cardiac patch device addresses the limitations of traditional heart monitoring by continuously analyzing heart signals with AI/ML, enhancing the detection of abnormalities through real-time, continuous heartbeat analysis.
Patent Information
- Application Number
- PCT/KR2024/020206
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-30
- Filing Date
- 2024-12-10
- Publication Date
- 2025-08-07
AI Technical Summary
Existing heart monitoring systems require users to visit medical institutions for heartbeat measurements, which may not accurately capture fluctuations due to various factors, limiting the identification of abnormalities or diseases.
A smart all-in-one cardiac patch device that attaches to the body, continuously monitors heart signals in real-time, using AI/ML to analyze electrocardiogram, seismocardiogram, and phonocardiogram signals, and transmits data to a user device for immediate analysis.
Enables real-time, continuous monitoring and accurate detection of abnormal conditions by leveraging AI/ML, providing immediate feedback and improving the reliability of heartbeat analysis beyond traditional institutional measurements.
Smart Images

Figure KR2024020206_07082025_PF_FP_ABST
Abstract
Description
Smart all-in-one cardiac patch device and its operating method
[0001] The present invention relates to a smart all-in-one cardiac patch device and its operating method. More specifically, it relates to a method for monitoring and managing a user's condition using a smart all-in-one cardiac patch device attachable to the human body.
[0002]
[0003] Existing systems measure heartbeats and analyze the signals generated by these heartbeats to identify abnormalities or illnesses in users. However, because these systems analyze these signals through specific devices provided by medical institutions, users had to visit a medical institution and use the device to measure their heartbeats to check for abnormalities or illnesses.
[0004] However, heartbeats can fluctuate depending on various factors, such as the user's physical or psychological state. Therefore, short-term heartbeat signals measured by medical institutions may have limitations in identifying abnormalities or diseases. Considering the above, the following describes a method and device that is attached to the human body to measure and transmit heartbeat signals in real time, enabling real-time monitoring and confirming the user's condition based on this data.
[0005]
[0006] This specification relates to a smart all-in-one cardiac patch device and a method of operating the same.
[0007] This specification relates to a smart all-in-one cardiac patch system and its operating method.
[0008] The present specification relates to a method for monitoring signals generated in the heart in real time based on a smart all-in-one cardiac patch device.
[0009] This specification relates to a method for automatically detecting an abnormal condition of a user by performing training of an artificial intelligence (AI) / machine learning (ML) learning model based on signals acquired in real time through a smart all-in-one cardiac patch device.
[0010]
[0011] According to one embodiment of the present specification, a smart all-in-one heart patch may include a component part that acquires a heart-related signal sensed from a user's body and transmits the acquired heart-related signal to an external user device, a signal amplifier part that amplifies the acquired heart-related signal and transmits it to the external user device, a battery part that maintains power of the smart all-in-one heart patch, a body part that forms a body of the smart all-in-one heart patch, and a housing part that is located outside the component part, the signal amplifier part, the battery part, and the body part so that the smart all-in-one heart patch can be attached to the user's body.
[0012] In addition, according to one embodiment of the present specification, the body portion may include a component portion where the component portion is located and a connecting portion connecting each of the component portions, and the component portion may include a first component portion in a central region and a second component portion in a distal region, wherein the first component portion may include a first component portion that controls a heart-related signal acquired from a user's human body and transmits the control signal to an external user device, and the second component portion may include a second component portion that senses a heart-related signal from the user's human body.
[0013] Additionally, according to one embodiment of the present specification, the housing portion may be made of silicone gel and silicone elastomer and attached according to the surface shape of the user's human body, the body portion may be made of polyimide, and the connecting portion of the body portion may have a preset relaxation rate and a preset bending angle so that the housing portion deforms according to the surface shape of the user's human body, and the signal amplification portion may be formed based on copper tracing.
[0014] Additionally, according to one embodiment of the present specification, a skin model portion may be further included so that a smart all-in-one cardiac patch is attached in the shape of the user's human skin on the outside of the housing portion.
[0015] In addition, according to one embodiment of the present specification, an external user device that obtains a heart-related signal from a smart all-in-one heart patch can provide the heart-related signal as an input to a condition monitoring learning model, automatically detect whether a user is abnormal based on inference of the condition monitoring learning model, and display user information analysis based on the detection of the user is abnormal.
[0016] Additionally, according to one embodiment of the present specification, the condition monitoring learning model is obtained from the cloud, and the cloud can receive heart-related signals of a smart all-in-one heart patch connected to each of the plurality of user devices from a plurality of user devices, and update the condition monitoring learning model based on the plurality of heart-related signals.
[0017] Additionally, according to one embodiment of the present specification, the heart-related signal may include at least one of an electrocardiogram (ECG), which is an electrical signal related to a heartbeat, a seismocardiogram (SCG), which is a low-frequency vibration signal, and a phonocardiogram (PCG), which is a heart sound wave signal.
[0018] Additionally, according to one embodiment of the present disclosure, a smart all-in-one cardiac patch is attached to multiple areas of a user's body to acquire each signal and transmit it to an external user device, and each signal is compared and analyzed to detect whether the user is abnormal.
[0019]
[0020] The present specification is effective in providing a smart all-in-one cardiac patch method and device.
[0021] The present specification has the effect of providing a smart all-in-one cardiac patch system and an operating method thereof.
[0022] The present specification has the effect of providing a method for monitoring signals generated from the heart in real time based on a smart all-in-one cardiac patch device.
[0023] This specification relates to a method for automatically detecting an abnormal condition of a user by performing training of an artificial intelligence (AI) / machine learning (ML) learning model based on signals acquired in real time through a smart all-in-one cardiac patch device.
[0024] The problem to be solved by this specification is not limited to what has been described above, and can be expanded to various matters that can be derived from the embodiments of the invention described below.
[0025]
[0026] FIG. 1 is a diagram illustrating an example of an operating environment of a system according to one embodiment of the present specification.
[0027] FIG. 2 is a block diagram for explaining the internal configuration of a computing device (200) in one embodiment of the present specification.
[0028] FIG. 3 is a diagram illustrating a smart all-in-one cardiac patch device and multiple user devices according to one embodiment of the present disclosure.
[0029] FIG. 4 is a diagram illustrating a smart all-in-one cardiac patch system according to one embodiment of the present disclosure.
[0030] FIG. 5 is a diagram illustrating the structure of a smart all-in-one cardiac patch according to one embodiment of the present specification.
[0031] FIG. 6 is a diagram illustrating a method for manufacturing a smart all-in-one cardiac patch according to one embodiment of the present specification.
[0032] FIG. 7 is a drawing showing the internal structure of a smart all-in-one smart patch according to one embodiment of the present specification.
[0033] FIG. 8 is a diagram illustrating a smart all-in-one cardiac patch further including a skin model portion according to one embodiment of the present disclosure.
[0034] FIG. 9 is a diagram illustrating a method for acquiring human body signals through a smart all-in-one patch according to one embodiment of the present specification.
[0035] FIG. 10 is a diagram illustrating a method for detecting anomalies based on machine learning according to one embodiment of the present specification.
[0036] FIG. 11 is a diagram illustrating a method for analyzing a signal acquired based on user status information according to one embodiment of the present specification.
[0037] FIG. 12 is a diagram illustrating a smart all-in-one cardiac patch method and device according to one embodiment of the present disclosure.
[0038]
[0039] In describing the embodiments of this specification, if a detailed description of a known configuration or function is judged to obscure the gist of the embodiments of this specification, a detailed description thereof will be omitted. In addition, parts of the drawings that are not related to the description of the embodiments of this specification have been omitted, and similar parts have been designated with similar drawing reference numerals.
[0040] In the embodiments of this specification, when a component is said to be "connected," "coupled," or "connected" to another component, this may include not only a direct connection, but also an indirect connection in which another component exists in between. Furthermore, when a component is said to "include" or "have" another component, unless otherwise specifically stated, this does not exclude the other component, but rather implies that the other component may be included.
[0041] In the embodiments of this specification, the terms first, second, etc. are used only for the purpose of distinguishing one component from another component, and do not limit the order or importance between components unless specifically stated otherwise. Therefore, within the scope of the embodiments of this specification, a first component in an embodiment may be referred to as a second component in another embodiment, and similarly, a second component in an embodiment may be referred to as a first component in another embodiment.
[0042] In the embodiments of this specification, distinct components are used to clearly illustrate their respective characteristics and do not necessarily imply separation. That is, multiple components may be integrated into a single hardware or software unit, or a single component may be distributed into multiple hardware or software units. Therefore, even if not specifically mentioned, such integrated or distributed embodiments are also included within the scope of the embodiments of this specification.
[0043] In this specification, the term "network" may encompass both wired and wireless networks. In this case, the term "network" may refer to a communications network that enables data exchange between devices, systems, and devices, and is not limited to a specific network.
[0044] Embodiments described herein may be entirely hardware, partially hardware and partially software, or entirely software. As used herein, "unit," "device," or "system" refers to a computer-related entity such as hardware, a combination of hardware and software, or software. For example, a unit, module, device, or system as used herein may be, but is not limited to, a running process, a processor, an object, an executable, a thread of execution, a program, and / or a computer. For example, both an application running on a computer and the computer itself may correspond to a unit, module, device, or system as used herein.
[0045] Additionally, in this specification, a device may be a mobile device such as a smartphone, tablet PC, wearable device, or HMD (Head Mounted Display), as well as a fixed device such as a PC or home appliance with display functions. Furthermore, as an example, a device may be an in-vehicle cluster or an IoT (Internet of Things) device. In other words, in this specification, a device may refer to any device capable of operating an application, and is not limited to a specific type. For convenience of explanation, the device on which an application operates is referred to as a device below.
[0046] In this specification, the network communication method is not limited, and connections between each component may not be made using the same network method. The network may include not only communication methods utilizing communication networks (e.g., mobile communication networks, wired Internet, wireless Internet, broadcasting networks, satellite networks, etc.), but also short-range wireless communication between devices. For example, the network may include all communication methods that enable objects to network with each other, and is not limited to wired communication, wireless communication, 3G, 4G, 5G, or other methods. For example, wired and / or networks include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed Downlink Packet Access (HSDPA), Wideband Code Division Multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) It may refer to a communication network using one or more communication methods selected from the group consisting of systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access), and ultrasonic communication, but is not limited thereto.
[0047] The components described in various embodiments are not necessarily essential components, and some may be optional. Therefore, embodiments comprising a subset of the components described in the embodiments are also included within the scope of the embodiments of the present disclosure. Furthermore, embodiments including other components in addition to the components described in various embodiments are also included within the scope of the embodiments of the present disclosure.
[0048] Hereinafter, embodiments of the present specification will be described in detail with reference to the drawings.
[0049] FIG. 1 is a diagram illustrating an example of the operating environment of a system according to one embodiment of the present specification. Referring to FIG. 1, one or more user devices (110-1, 110-2) and one or more servers (120, 130, 140) are connected via a network (1). FIG. 1 is merely an example for explaining the invention, and the number of user devices or servers is not limited to that shown in FIG. 1.
[0050] One or more user devices (110-1, 110-2) may be fixed or mobile terminals implemented as a computer system. The one or more user devices (110-1, 110-2) may be, for example, a smart phone, a mobile phone, a navigation device, a computer, a laptop, a digital broadcasting terminal, a PDA (Personal Digital Assistants), a PMP (Portable Multimedia Player), a tablet PC, a game console, a wearable device, an IoT (Internet of Things) device, a VR (Virtual Reality) device, an AR (Augmented Reality) device, etc. For example, in the embodiments, the user device (110) may mean one of various physical computer systems that can communicate with other servers (120 to 140) through a network (1) using a wireless or wired communication method.
[0051] Each server may be implemented as a computer device or multiple computer devices that communicate with one or more user devices (110-1, 110-2) via a network (1) to provide commands, codes, files, contents, services, etc. For example, the server may be a system that provides each service to one or more user devices (110-1, 110-2) connected via the network (1). As a more specific example, the server may be a computer program that is installed and run on one or more user devices (110-1, 110-2), and may provide a service (e.g., provision of information, etc.) intended by the application to one or more user devices (110-1, 110-2). As another example, the server may distribute a file for installing and running the above-described application to one or more user devices (110-1, 110-2) and receive user input information to provide a corresponding service.
[0052] FIG. 2 is a block diagram illustrating the internal configuration of a computing device (200) according to one embodiment of the present specification. This computing device (200) may be applied to one or more user devices (110-1, 110-2) or servers (120-140) described above with reference to FIG. 1, and each device and server may have the same or similar internal configuration by adding or excluding some components.
[0053] Referring to FIG. 2, a computing device (200) may include a memory (210), a processor (220), a communication module (230), and a transceiver (240). The memory (210) is a non-transitory computer-readable recording medium and may include a non-permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), a disk drive, a solid state drive (SSD), a flash memory, etc. Here, the non-permanent mass storage device such as a ROM, an SSD, a flash memory, a disk drive, etc. may be included in the above-described device or server as a separate permanent storage device distinct from the memory (210). In addition, the memory (210) may store an operating system and at least one program code (for example, a browser installed and operated on a user device (110), or a code for an application installed on a user device (110) to provide a specific service). These software components may be loaded from a computer-readable recording medium separate from the memory (210). This separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, a memory card, etc.
[0054] In another embodiment, the software components may be loaded into the memory (210) via a communication module (230) rather than a computer-readable recording medium. For example, at least one program may be loaded into the memory (210) based on a computer program (e.g., the application described above) that is installed by files provided by developers or a file distribution system (e.g., the server described above) that distributes the installation files of the application via a network (1).
[0055] The processor (220) may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. Instructions may be provided to the processor (220) by the memory (210) or the communication module (230). For example, the processor (220) may be configured to execute instructions received according to program code stored in a storage device such as the memory (210).
[0056] The communication module (230) can provide a function for the user device (110) and the server (120 - 140) to communicate with each other via the network (1), and can provide a function for each of the device (110) and / or the server (120 - 140) to communicate with other electronic devices.
[0057] The transceiver (240) may be a means for interfacing with an external input / output device (not shown). For example, external input devices may include devices such as a keyboard, mouse, microphone, camera, etc., and external output devices may include devices such as a display, speaker, haptic feedback device, etc. As another example, the transceiver (240) may be a means for interfacing with a device that integrates input and output functions, such as a touchscreen.
[0058] In addition, in other embodiments, the computing device (200) may include more components than the components of FIG. 2 depending on the nature of the device to which it is applied. For example, when the computing device (200) is applied to a user device (110), it may be implemented to include at least some of the above-described input / output devices, or may further include other components such as a transceiver, a Global Positioning System (GPS) module, a camera, various sensors, a database, etc. As a more specific example, when the user device is a smartphone, it may be implemented to further include various components that are generally included in a smartphone, such as an acceleration sensor or a gyro sensor, a camera module, various physical buttons, buttons using a touch panel, input / output ports, and a vibrator for vibration.
[0059]
[0060] For example, the smart all-in-one cardiac patch system described below may operate through the computing device (200) of FIG. 2 based on the network of FIG. 1. More specifically, the smart all-in-one cardiac patch system may include a smart all-in-one cardiac patch that acquires cardiac-related signals, a user device that acquires signals measured through the cardiac patch, and a smart all-in-one cardiac patch server that acquires and processes signals measured from a plurality of user devices. Here, each device may be a device that operates based on the computing device (200) of FIG. 2, but is not limited to the embodiment. In addition, each device may exchange signals based on the network of FIG. 1, but is not limited to the embodiment. For convenience of explanation, the following description will be based on the smart all-in-one cardiac patch, the user device, and the smart all-in-one cardiac patch server, but may not be limited to the names.
[0061] FIG. 3 is a diagram illustrating a smart all-in-one cardiac patch device and a plurality of user devices according to one embodiment of the present disclosure. Referring to FIG. 3, the smart all-in-one cardiac patch (310) can be attached to a human body. The smart all-in-one cardiac patch (310) can be attached to a human body to acquire cardiac-related signals. Here, the cardiac-related signals acquired by the smart all-in-one cardiac patch (310) can include at least one of an electrocardiogram (ECG), a seismocardiogram (SCG), and a phonocardiogram (PCG). Here, the ECG can be an electrical signal related to a heartbeat, the SCG can be a low-frequency vibration signal of the heart, and the PCG can be a cardiac sound wave. In other words, the smart all-in-one cardiac patch (310) can acquire at least one or more of an electrical signal, a vibration signal, and an acoustic signal related to a heartbeat.
[0062] Here, as an example, the smart all-in-one heart patch (310) can be attached to a heart location on the front of the human body to acquire heart-related signals. As another example, the smart all-in-one heart patch (310) can be attached to a heart location on the back of the human body to acquire heart-related signals. As another example, a plurality of smart all-in-one heart patches (310) can be attached to the human body. Specifically, the smart all-in-one heart patches (310) can be attached to both the heart locations on the front of the human body and the back of the human body. Here, heart-related signals can be acquired from each of the plurality of smart all-in-one heart patches (310) and compared, and heart-related signals can be acquired based on the compared signals, thereby increasing the accuracy of heart-related signal measurement.
[0063] As another example, the smart all-in-one heart patch (310) can obtain additional information related to heartbeat or the human body. For example, the smart all-in-one heart patch (310) can obtain additional information on the user's body temperature or the amount of moisture in the skin. The user's body temperature or the amount of moisture in the skin may be information that can affect the acquisition of heart-related signals through the smart all-in-one heart patch (310), and the smart all-in-one heart patch (300) can obtain additional information on this. As a specific example, in low temperatures such as in winter, when the user's body temperature decreases, the heartbeat may slow down, and the smart all-in-one heart patch (310) can obtain additional information on body temperature, external temperature, and other information.
[0064] As another example, the smart all-in-one heart patch (310) can acquire location information, environmental information, and other information. Specifically, the heart-related signal pattern of a user using the smart all-in-one heart patch (310) may differ depending on whether the user is indoors or outdoors. Alternatively, the heart-related signal may differ depending on whether the user is at home, where they feel mentally stable, or in an office space where they work. Here, the smart all-in-one heart patch (310) can measure the user's location information and transmit it to the user device. As another example, the smart all-in-one heart patch (310) can acquire information about the user's surroundings as environmental information. For example, the environmental information may be information that affects the heartbeat, such as temperature, humidity, airflow, and other information about the user's surroundings. In other words, the smart all-in-one heart patch (310) can acquire additional heartbeat-related information, but is not limited thereto.
[0065] Thereafter, the smart all-in-one heart patch (310) can transmit the acquired signal to the user device (410, 420, 430). For example, the user device (410, 420, 430) may be a smartphone (410), a tablet (420), a smart watch (430), or other devices used by a user who has the smart all-in-one heart patch (310) attached, and is not limited to a specific form. However, for the convenience of explanation, the following description will be based on the tablet (420) among the user devices, but may not be limited thereto. Thereafter, the user device (410, 420, 430) can perform monitoring based on the signal acquired from the smart all-in-one heart patch (310). In addition, the user device (410, 420, 430) can transmit the signal acquired from the smart all-in-one heart patch (310) to a server. As another example, the user device may be a device that operates within a preset distance from the smart all-in-one heart patch (310). As a specific example, the user device may be a smart watch (430). Here, the user device may obtain the above-described location information and environmental information within a preset distance from the smart all-in-one heart patch (310), and is not limited to the above-described embodiment. As an example, the smart watch (430) among the user devices may measure the above-described location information and environmental information within a preset distance from the smart all-in-one heart patch (310) and transmit the measured information to another user device (e.g., tablet, 420). That is, the tablet (420) may obtain a heart-related signal from the smart all-in-one heart patch (310) and obtain additional user-related information through the smart watch (430), but may not be limited to the above-described embodiment.
[0066] FIG. 4 is a diagram illustrating a smart all-in-one cardiac patch system according to one embodiment of the present disclosure. Referring to FIG. 4, the smart all-in-one cardiac patch system may include a smart all-in-one cardiac patch (310), a user device (420), and a cloud (or server, 500). In addition, the smart all-in-one cardiac patch system may further include other components and may not be limited to a specific form. Referring to FIG. 4(a), the user device (420) may obtain the above-described signals from the smart all-in-one cardiac patch (310). For example, the signals may further include ECG, SCG, PCG, and other information, and are not limited to a specific embodiment. Here, as an example, the smart all-in-one cardiac patch (310) may be attached to a cardiac location on the front of the human body to obtain cardiac signals. As another example, the smart all-in-one cardiac patch (310) may be attached to a cardiac location on the back of the human body to obtain cardiac signals, as described above.
[0067] As another example, multiple smart all-in-one cardiac patches (310) can be attached to the human body. Specifically, the smart all-in-one cardiac patches (310) can be attached to both the front and back of the human body at the heart locations. Here, cardiac signals can be acquired and compared from each of the multiple smart all-in-one cardiac patches (310), and the cardiac signals can be acquired based on the compared signals, thereby increasing the accuracy of cardiac signal measurement.
[0068] In addition, the user device (420) may obtain additional information. For convenience of explanation, the user device (420) may refer to heart-related information including signals and additional information obtained from the smart all-in-one heart patch (310), but may not be limited thereto. When the user device (420) obtains heart-related information from the smart all-in-one heart patch (310), the user device (420) may display and provide the heart-related information to the user. In addition, as an example, the user device (420) may obtain heart-related information from the smart all-in-one heart patch (310) in real time or based on a preset cycle. The user device (420) may analyze and monitor at least one of user status information and disease information through the heart-related information obtained in real time or based on a preset cycle. Here, the user device (420) may display and provide the analysis information to the user. As an example, the user device (420) may provide the analysis information based on a preset cycle. As a specific example, the user device (420) may provide at least one of daily information, weekly information, monthly information, and long-term information, and is not limited to a specific form. That is, the user device (420) may obtain heart-related information from the smart all-in-one heart patch (310) in real time or based on a preset cycle, derive analysis information from the heart-related information, and provide the information to the user.
[0069] As another example, referring to FIG. 4(b), the user device (420) can transmit heart-related information acquired from the smart all-in-one heart patch (310) to the cloud (500). Here, the cloud (500) can acquire signals from each of the plurality of user devices (420) that acquire signals from the smart all-in-one heart patch (310), perform analysis, and transmit the analyzed information to the user device (420). As another example, the cloud (500) can perform learning on a condition monitoring learning model based on the heart-related information acquired from the plurality of user devices (420). Thereafter, the cloud (500) can transmit the learned condition monitoring learning model to each user device (420). Each user device (420) can provide the heart-related information acquired from the user as input to the condition monitoring learning model to perform inference, and automatically derive whether the user's condition is abnormal as an output value, which will be described later.
[0070] FIG. 5 is a diagram illustrating the structure of a smart all-in-one cardiac patch according to one embodiment of the present disclosure. Referring to FIG. 5, the smart all-in-one cardiac patch may be any one of the first type (310), the second type (320), and the third type (330). In addition, the smart all-in-one cardiac patch may be of other types or shapes and is not limited to a specific shape. For example, referring to FIG. 5(a), the smart all-in-one cardiac patch may include silicone gel and silicone elastomer. The silicone gel is a deformable material that allows the smart all-in-one cardiac patch to adhere to the shape of the human body surface and not be detached. The silicone elastomer may be a material with excellent elasticity, absorbency, and tensile strength, and may allow the smart all-in-one cardiac patch to adhere to and remain on the human body. That is, the part attached to the human body surface may be composed of silicone gel and silicone elastomer, thereby allowing the smart all-in-one cardiac patch to remain attached to the human body. In addition, electrodes and a wireless charging coil may be included inside the silicone gel and silicone elastomer. Here, the electrodes may be ECG electrodes and may be gold electrodes made of gold, but are not limited thereto and electrodes of other materials may be configured. In addition, the wireless charging coil may be configured to perform battery charging, and the smart all-in-one cardiac patch may be charged based on the same. In addition, polyimide and copper traces may be included inside the silicone gel and silicone elastomer. Here, the polyimide may be a polymer material having thermal stability and high mechanical strength. For example, the first type (310) smart all-in-one cardiac patch may be identically configured in the form of polyimide.This allows the polyimide to be deformed together with the smart all-in-one heart patch when the smart all-in-one heart patch is stretched or bent when attached to the human body, and allows the smart all-in-one heart patch to remain attached without falling off from the human body.
[0071] Additionally, copper tracking can enable the smart all-in-one cardiac patch to track and transmit signals acquired through the high conductivity of copper. Furthermore, the smart all-in-one cardiac patch may further include components for acquiring signals and transmitting them to a user device, and a battery for operating the smart all-in-one cardiac patch. As an example, the components may include configurations for acquiring ECG as an electrical signal, SCG as a low-frequency vibration signal, and PCG as an acoustic signal, as described above, but are not limited to a specific form. Furthermore, as an example, the battery may serve to maintain power for transmitting the acquired signals to the user device. As an example, the smart all-in-one cardiac patch, as a low-power device, can be powered for a long period of time by the battery.
[0072] As another example, the battery may be attached to the body and recharged based on the user's movements. As described above, the smart all-in-one cardiac patch is a low-power device, so it may operate by being attached to the body and recharged based on the user's movements. However, this embodiment is not limited to this example.
[0073] FIG. 6 is a diagram illustrating a method for manufacturing a smart all-in-one cardiac patch according to one embodiment of the present disclosure. Referring to FIG. 6, the smart all-in-one cardiac patch may be provided with a polyimide having a preset shape (S610). Here, the polyimide may have the same shape as the smart all-in-one cardiac patch of the first type (310) described above, but may not be limited thereto. Thereafter, the components described above may be placed on the polyimide (S620). The components may be configurations that enable the smart all-in-one cardiac patch to acquire signals according to heartbeats, as described above. Here, as an example, the central portion of the polyimide components may include configurations for acquiring signals from the human body, performing processing, and transmitting the signals to the outside. As another example, each of the terminal portions connected to the central portion of the polyimide by a connection portion may include configurations for sensors for acquiring signals from the human body. Here, each sensor can sense a heart-related signal generated from the heart and transmit it to the central part, but is not limited to this embodiment.
[0074] After that, a battery can be attached on the polyimide and connected to each component (S630), and the polyimide can be bonded on each component and a copper trace can be positioned thereon. (S640) After that, the above-described configuration is fixed to a frame corresponding to the type of the smart all-in-one heart patch (S650), and a silicone gel can be applied to manufacture the above-described smart all-in-one heart patch. (S660) Here, the smart all-in-one heart patch can be manufactured as either the first type (310) or the second type (320) described above according to each frame. Here, the first type (310) can also be the 1-1 type (310-1) or the 1-2 type (310-2) as shown in FIG. 6, but may not be limited to a specific form. Additionally, the second type (320) may be a second-first type (320-1) or a second-second type (320-2) as shown in FIG. 6, but may not be limited to a specific form. Additionally, as an example, the smart all-in-one heart patch may be manufactured in other types and is not limited to a specific form.
[0075] FIG. 7 is a diagram illustrating the internal structure of a smart all-in-one smart patch according to one embodiment of the present disclosure. Referring to FIG. 7, the smart all-in-one heart patch may include the polyimide described above. For example, FIG. 7 is described based on a first type smart all-in-one heart patch (310) for convenience of explanation, but may not be limited thereto. Referring to FIG. 7, the polyimide in the smart all-in-one heart patch (310) may include a component part (311) and a connecting part (312). Here, the component part (311) may be a region in the polyimide where the components described above are attached and positioned. For example, in FIG. 7(a) and FIG. 7(b), the component part (311) may be composed of a first component part (311-1) in a central region and a second component part (311-2) in a distal region, but may not be limited to the embodiment. In addition, each component (311) may be connected to each other through a connecting portion (312). Here, the above-described components may not be attached to the connecting portion (312). For example, the connecting portion (312) may be deformed according to the relaxation or contraction of the smart all-in-one cardiac patch (310). More specifically, the smart all-in-one cardiac patch (310) may be composed of the silicone gel as described above, and the silicone gel may be relaxed or contracted. For example, the connecting portion (312) may be relaxed or contracted together with the relaxation or contraction of the silicone gel. As a specific example, in FIG. 7(a), the connecting portion (312) may have a relaxation rate of 20%, but this is only one example and is not limited to the embodiment.
[0076] Also, as an example, the connecting portion (312) can be deformed according to bending. More specifically, the smart all-in-one cardiac patch (310) can be composed of the silicone gel as described above, and the silicone gel can be bent. As an example, the connecting portion (312) can be bent together according to the bending of the silicone gel. As a specific example, in FIG. 7(b), the connecting portion (312) can be bent at 90 degrees, but this is only one example and is not limited to the embodiment. The smart all-in-one cardiac patch (310) can be attached to the human body based on the structure described above. As an example, the smart all-in-one cardiac patch (310) can be relaxed or contracted depending on the position to which it is attached, and a portion of it can be bent. That is, the shape of the smart all-in-one cardiac patch (310) can be partially deformed depending on the position to which it is attached on the human body, thereby increasing the strength of attachment to the human body. In addition, the first component (311-1) of the central region of the component (311) may include a component that receives a heart-related signal measured from a human body and transmits the signal to a user device externally. In addition, the second component (311-2) of the distal region may include sensors for directly measuring a heart-related signal from a human body, and the signals obtained from the sensors may be transmitted to the components of the first component (311-1), and through the above, the smart all-in-one cardiac patch (310) may obtain and transmit a heart-related signal.
[0077] As another example, FIG. 8 is a diagram illustrating a smart all-in-one cardiac patch further including a skin model portion according to an embodiment of the present disclosure. Referring to FIG. 8, the smart all-in-one cardiac patch (310) may further include a skin model portion (313). Here, the skin model portion (313) may be configured to be located outside the smart all-in-one cardiac patch (310) to increase the strength of attachment to the human body. More specifically, the smart all-in-one cardiac patch (310) needs to be attached to the human body to acquire cardiac-related signals in real time. Here, the smart all-in-one cardiac patch (310) may be attached to or detached from the human body depending on the movement or motion of the user, and thus may not be able to acquire cardiac-related signals. Since the smart all-in-one cardiac patch system needs to perform analysis on the user based on the information acquired in real time, the smart all-in-one cardiac patch (310) needs to be continuously attached to the human body. As another example, the smart all-in-one heart patch (310) may have a certain shape according to the above-described component (311) and connection component (312), and when attached to the human body, whether it is attached or not may be expressed externally. For example, when a user attaches the smart all-in-one heart patch (310) and wears thin clothing, the attachment of the smart all-in-one heart patch (310) may be recognized from the outside. Here, the user may have a need not to externally expose whether the smart all-in-one heart patch (310) is attached or not. Considering the above-described point, the smart all-in-one heart patch (310) may further include a skin model portion (313). For example, the skin model portion (310) may be positioned on the human body after the smart all-in-one heart patch (310) is attached thereto, and may be expressed in the same shape as the user's skin. In addition, as an example, the skin model portion (313) may maintain a high attachment strength of the smart all-in-one heart patch (310) to the human body.That is, through the above, the user can ensure that the smart all-in-one heart patch (310) is attached to the human body and does not fall off, and that the attachment is not visible from the outside.
[0078] FIG. 9 is a diagram illustrating a method for acquiring human body signals using a smart all-in-one patch according to one embodiment of the present disclosure. Referring to FIG. 9(a), the smart all-in-one heart patch (310) is attached to the area of the human heart on the left side of the upper body to acquire the aforementioned signals, as described above.
[0079] Here, as an example, a plurality of smart all-in-one cardiac patches (310) may be attached to the human body. As a specific example, a first patch among the plurality of smart all-in-one cardiac patches (310) may be attached to an area where the heart is located as a first location. In addition, a second patch among the plurality of smart all-in-one cardiac patches (310) may be attached to an area where the pulse is located as a second location. As an example, the user device may obtain a heart-related signal or other signal from each of the plurality of smart all-in-one cardiac patches (310). The user device may compare and analyze signals obtained from the plurality of smart all-in-one cardiac patches (310) to measure the accuracy of the signals, thereby improving the measurement accuracy.
[0080] As another example, the smart all-in-one heart patch (310) can be linked to a user device to acquire heart-related signals. As a specific example, the user's pulse and other information can be acquired through a smartwatch, among other user devices, and this information can be compared with information acquired from the smart all-in-one heart patch (310), thereby improving measurement accuracy.
[0081] As another example, referring to FIG. 9(b), the smart all-in-one patch (340) can acquire other signals from the human body. As a specific example, the smart all-in-one patch (340) may be a smart all-in-one lung patch and can acquire signals derived from the lungs. Here, the smart all-in-one lung patch (340) may be attached to the back of the human body in a different location from the smart all-in-one heart patch (310) and is not limited to a specific form. As another example, a plurality of smart all-in-one patches may be attached to the human body and transmit each signal to a user device. As an example, the smart all-in-one heart patch (310) may acquire a heart-related signal generated from the heart and transmit it to the user device, and the smart all-in-one lung patch (340) may acquire a lung-related signal generated from the lungs and transmit it to the user device. The user device may perform user monitoring based on the signals acquired from each smart all-in-one patch, but may not be limited to the above embodiment.
[0082] FIG. 10 is a diagram illustrating a method for detecting abnormalities based on machine learning according to one embodiment of the present specification. Referring to FIG. 10, a smart all-in-one cardiac patch system can provide cardiac analysis information based on AI / ML (artificial intelligence / machine learning). More specifically, the smart all-in-one cardiac patch (310) can acquire cardiac signals and transmit them to a user device, as described above. Here, the user device can automatically detect abnormalities by performing inference based on the signals acquired by the embedded algorithm or the condition monitoring learning model (S1010). For example, the user device can be equipped with an embedded algorithm or a condition monitoring learning model. Here, the embedded algorithm or the condition monitoring learning model can automatically detect abnormalities in the user's condition. As a specific example, the user device can acquire cardiac signals from the smart all-in-one cardiac patch (310) and compare them with information stored in a database. In addition, the user device can perform inference based on the preprocessed information after performing filtering, wavelet noise removal, and other preprocessing operations. For example, the learning model can perform inference based on rescaling or convolution neural network (CNN) classification operations, and automatically detect whether the acquired signal is abnormal. Thereafter, the user device can calculate analysis information based on the information about the abnormality (S1030) and display the analysis information on the user device (S1040). For example, the user device can compare signal information acquired daily with information about the abnormality through daily trend analysis, calculate scoring information based on the comparison, and derive scoring information based on the comparison and display the scoring information on the user device.That is, the user device can analyze signals acquired from the smart all-in-one cardiac patch (310) based on AI / ML and provide the user with analysis information, and is not limited to a specific form. Here, as an example, the user device can receive a cloud-based, pre-learned condition monitoring learning model, and provide heart-related information as input to the condition monitoring learning model to derive an abnormality as an output value.
[0083] In addition, as an example, a signal acquired from a smart all-in-one heart patch (310) may be analyzed to reflect user status information. As an example, FIG. 11 is a diagram illustrating a method of analyzing a signal acquired based on user status information according to an embodiment of the present disclosure. Referring to FIG. 11, a signal acquired from a smart all-in-one heart patch (310) needs to be processed to reflect user status information. Specifically, the user status may include a standing state, a talking state, a walking state, a jogging state, and other states. Here, the heart-related signal may be acquired differently depending on the user status. For example, when a user is conversing with another user (i.e., a talking state), the user's voice signal may be included as noise in the heart-related signal. Therefore, there is a need to derive information in a form in which the noise is removed from the heart-related signal. As another example, when a user is jogging (i.e., a jogging state), the heart rate may increase, and accordingly, the acquired heart-related signal may be different. Considering the above, the user device can acquire additional user status information when acquiring heart-related signals. In addition, the user status information can be reflected in the embedded algorithm or learning model described above. Abnormality detection can be derived based on the user status information. As a specific example, if the user is jogging, the embedded algorithm or learning model can perform inference based on the jogging state as user status information and determine whether there is an abnormality. In other words, the embedded algorithm or learning model can build normal information about the user's jogging state, and automatically detect whether there is an abnormality if the signal acquired during the jogging state is different from the normal information. However, this is merely an example and is not limited to the above embodiment. That is, the signal acquired from the smart all-in-one cardiac patch (310) can be analyzed to reflect the user's status, and the analyzed information can be displayed through the user device.
[0084] FIG. 12 is a drawing illustrating a method and device for a smart all-in-one cardiac patch according to one embodiment of the present disclosure. Referring to FIG. 12, the smart all-in-one cardiac patch (300) may include at least one of a housing portion (301), a body portion (302), a component portion (303), a signal amplifier portion (304), a battery portion (305), and a skin model portion (306). For example, the smart all-in-one cardiac patch (300) may be in the form of any one of the first type (310), the second type (320), the third type (330), and other types described above, but is not limited thereto. Here, the housing portion (301) may include the silicone gel and silicone elastomer described above. That is, the housing portion (301) may protect each component from the outside of the body portion (302), the component portion (303), the signal amplifier portion (304), and the battery portion (305). However, the skin model part (306) may be configured to allow the smart all-in-one heart patch (300) to be attached and maintained on the human body from the outside of the housing part (301), as described above. In addition, electrodes and a wireless charging coil may be positioned inside the housing part (301). Here, the electrodes may be ECG electrodes, and the ECG electrodes may be made of a gold material, but are not limited to this embodiment. For example, the outside of the housing part (301) may be attached to the human body, and heart-related signals generated in the human body may be transmitted through the ECG electrodes. In addition, the wireless charging coil may be configured to charge the battery of the smart all-in-one heart patch, as described above. Inside the housing part (301), the body part (302) may include a component part (302-1) and a connection part (302-2). For example, the body part (302) may include a component part (302-1) formed of the polyimide described above, and a connecting part (302-2) connecting each of the component parts (302-1).Here, the component (302-1) may include a first component for the central region and a second component for the distal region, and the first component and the second component may be connected via a connection portion (302-2). For example, the first component may include a first component portion that controls a heart-related signal acquired from a user's human body and transmits the signal to an external user device, and the second component may include a second component portion that directly senses and acquires a heart-related signal from the user's human body. That is, the component portion (303) may be located in the above-described component portion (302-1) to acquire a heart-related signal from the human body and transmit it to the user device (400) as an external device. That is, the component portion (303) may be located in the above-described component portion (302-1) to acquire a heart-related signal from the human body and transmit it to the user device (400) as an external device. For example, the component unit (303) may include a first component unit as a control unit that controls the sensed heart-related signal and a second component unit as a sensing unit that senses an actual heart-related signal, but is not limited to the embodiment. In addition, the signal amplification unit (304) may amplify a heart-related signal acquired from a human body using the above-described copper trace and transmit the amplified signal to the user device (400). For example, the signal amplification unit (304) may further include a transceiver unit that transmits a signal to the user device (400), but is not limited to the embodiment.
[0085] In addition, the battery unit (305) may include a battery to maintain power of the smart all-in-one heart patch (300), as described above. For example, the smart all-in-one heart patch is a low-power device that can maintain power for a long time through the battery. In addition, the skin model unit (306) may be configured to allow the smart all-in-one heart patch (300) to be hidden in the shape of human skin outside the housing unit (301), as described above. For example, the smart all-in-one heart patch (300) may acquire at least one of an electrical signal, an ECG, a low-frequency vibration signal, and a PCG, an acoustic signal, as a heart-related signal, and transmit the acquired signal to the user device (400). In addition, for example, the battery may serve to maintain power so that the smart all-in-one heart patch can transmit the acquired signal to the user device.
[0086] Thereafter, the user device (400) can analyze and display the user status based on the status monitoring learning model. Furthermore, the user status analysis may be provided using a status monitoring learning model pre-trained with heart-related information acquired from multiple user devices (400) based on the cloud (500), but is not limited to this embodiment.
[0087] For example, a smart all-in-one heart patch (300) may include a component part (303) that acquires a heart-related signal sensed from a user's body and transmits the acquired heart-related signal to an external user device, a signal amplifier part (304) that amplifies the acquired heart-related signal and transmits it to the external user device, a battery part (305) that maintains power of the smart all-in-one heart patch, a body part (302) in which the component part is located and constitutes the body of the smart all-in-one heart patch, and a housing part (301) that is located outside the component part (303), the signal amplifier part (304), the battery part (305), and the body part (302) so that the smart all-in-one heart patch can be attached to the user's body. Here, the body part (302) may include a component part in which the component part (303) is located and a connection part that connects each of the component parts, and the component parts may include a first component part in a central region and a second component part in a distal region. The first component may include a first component that controls a heart-related signal obtained from a user's human body and transmits the signal to an external user device, and the second component may include a second component that senses a heart-related signal from the user's human body.
[0088] In addition, as an example, the housing part (301) is made of silicone gel and silicone elastomer and is attached according to the surface shape of the user's human body, and the body part (302) is made of polyimide and the connecting part of the body part can have a preset relaxation rate and a preset bending angle so that the housing part can be deformed according to the surface shape of the user's human body. In addition, the signal amplification part (304) can be configured based on copper tracking. In addition, as an example, the housing part (301) can further include a skin model part (306) so that the smart all-in-one heart patch is attached in the shape of the user's human skin. In addition, as an example, an external user device that obtains a heart-related signal from the smart all-in-one heart patch can provide the heart-related signal as an input of a condition monitoring learning model, automatically detect whether the user is abnormal based on inference of the condition monitoring learning model, and display user information analysis based on the detection of whether the user is abnormal. Here, the condition monitoring learning model can be obtained from the cloud. The cloud can receive cardiac signals from multiple user devices, each connected to a smart all-in-one cardiac patch, and update a health monitoring learning model based on the multiple cardiac signals. Furthermore, as an example, the smart all-in-one cardiac patch can be attached to multiple areas of the user's body, acquire individual signals, and transmit them to an external user device. These signals can then be compared and analyzed to detect any abnormalities in the user.
[0089] The embodiments described above may be implemented at least in part as computer programs and recorded on a computer-readable recording medium. A computer-readable recording medium on which a program for implementing the embodiments is recorded includes any type of recording device that stores data that can be read by a computer. Examples of computer-readable recording media include ROMs, RAMs, CD-ROMs, magnetic tapes, and optical data storage devices. Furthermore, the computer-readable recording medium may be distributed across network-connected computer systems, such that computer-readable codes are stored and executed in a distributed manner. Furthermore, functional programs, codes, and code segments for implementing the embodiments will be readily understood by those skilled in the art to which the embodiments pertain.
[0090] Although the present specification has been described with reference to the embodiments illustrated in the drawings, these are merely exemplary, and those skilled in the art will understand that various modifications and variations of the embodiments are possible. However, such modifications should be considered within the technical protection scope of the present specification. Therefore, the true technical protection scope of the present specification should be determined to include other implementations, other embodiments, and equivalents to the claims, based on the technical spirit of the appended claims.
[0091]
[0092] The above may also apply to other systems.
Claims
1. In the smart all-in-one heart patch, A component unit that acquires a heart-related signal sensed from a user's body and transmits the acquired heart-related signal to an external user device; A signal amplifier unit that amplifies the acquired heart-related signal and transmits it to the external user device; A battery unit that powers the above smart all-in-one heart patch; A body part in which the above component part is located and which constitutes the body of the smart all-in-one heart patch; and A smart all-in-one cardiac patch comprising the component part, the signal amplifier part, the battery part, and a housing part located outside the body part so that the smart all-in-one cardiac patch can be attached to the user's body.
2. In paragraph 1, The above body part includes a connecting part connecting each of the component parts to the component part where the component part is located, A smart all-in-one cardiac patch, wherein the component comprises a first component in a central region and a second component in a distal region, wherein the first component comprises a first component for controlling the heart-related signal obtained from the user's human body and transmitting it to the external user device, and the second component comprises a second component for sensing the heart-related signal from the user's human body.
3. In paragraph 2, The above housing part is made of silicone gel and silicone elastomer and is attached according to the shape of the surface of the user's body. The body part is made of polyimide, and the connecting part of the body part has a preset relaxation rate and a preset bending angle so that the housing part is deformed according to the surface shape of the user's body. A smart all-in-one cardiac patch, wherein the signal amplifier is configured based on copper tracing.
4. In paragraph 1, A smart all-in-one heart patch further comprising a skin model portion for allowing the smart all-in-one heart patch to be attached in the shape of the user's human skin on the outside of the housing portion.
5. In paragraph 1, A smart all-in-one heart patch, wherein the external user device that obtains the heart-related signal from the smart all-in-one heart patch provides the heart-related signal as an input to a condition monitoring learning model, automatically detects whether the user is abnormal based on inference of the condition monitoring learning model, and displays user information analysis based on the detection of the user is abnormal.
6. In paragraph 5, The above state monitoring learning model is obtained from the cloud, The cloud receives the heart-related signals of the smart all-in-one heart patch connected to each of the plurality of user devices from the plurality of user devices, A smart all-in-one cardiac patch that updates the condition monitoring learning model based on a plurality of the above cardiac-related signals.
7. In paragraph 6, A smart all-in-one cardiac patch, wherein the heart-related signal includes at least one of an electrocardiogram (ECG), which is an electrical signal related to a heartbeat, a seismocardiogram (SCG), which is a low-frequency vibration signal, and a phonocardiogram (PCG), which is a cardiac sound wave signal.
8. In paragraph 6, The smart all-in-one heart patch is attached to multiple areas of the user's body to acquire each signal and transmit it to the external user device, and the each signal is compared and analyzed to detect whether the user is abnormal.
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