Pet heart disease monitoring system

Abstract

A pet heart disease monitoring system is provided that generates depth-integrated data that can be used to diagnose heart disease in pets. [Solution] A pet heart disease monitoring system collects a pet's electrocardiogram data using a capacitive electrocardiogram sensor without any prior preparation such as hair removal, and collects phonocardiogram data and ballistocardiogram data using a phonocardiogram sensor and a ballistocardiogram sensor.By merging the electrocardiogram data, phonocardiogram data, and ballistocardiogram data, deeply integrated data that can be used to diagnose a pet's heart disease can be generated.

Description

Technical Field

[0001] The present invention relates to a pet heart disease monitoring system, and more particularly, to a system for integrating and monitoring pet heart diseases through a non-restrictive wearable device that integrates electrocardiograms, echocardiograms, and phonocardiograms generated by pet heart movements.

Background Art

[0002] Recently, with the increase in the number of pet-owning households, pet diseases have also increased. The increase in pet diseases leads to an economic and emotional burden on the owners, but it is not easy to recognize and treat these diseases early. Most pet diseases are found through careful observation by the owners, but it is very difficult for owners without specialized knowledge of diseases to find them when the symptoms are weak or absent. In particular, in the case of heart diseases, it is difficult to grasp the symptoms at the onset and in the early stage, and after the disease has deteriorated severely, the pet has to be hospitalized in a veterinary hospital, so the mortality rate is high. Therefore, it is very important to diagnose and manage asymptomatic heart diseases early through regular heart examinations.

[0003] As disclosed in the patent documents of the following prior art documents, conventionally, an electrocardiogram (ECG) has been measured to diagnose pet heart diseases. An electrocardiogram analyzes the electrical activity of the heart and records it in a wavelength form, and can be measured by contacting electrodes with the pet's skin. However, according to the conventional electrocardiogram measurement method, since the electrodes have to be contacted with the pet's skin, prior preparations such as hair removal for exposing the skin are required. In addition, the electrodes may be separated from the skin due to the movement of the pet, and the pet has to be fixed so that its movement is restricted, and it was difficult to accurately measure the electrocardiogram in other situations.

[0004] Therefore, there is an urgent need for a solution to solve the problems of the conventional pet heart disease monitoring technology.

Prior Art Documents

Patent Documents

[0005] [Patent Document 1] KR10-2016-0014282A [Overview of the project] [Problems that the invention aims to solve]

[0006] The present invention aims to solve the problems of the prior art described above. One aspect of the present invention provides a pet cardiac disease monitoring system that collects electrocardiogram data of a pet via a capacitive electrocardiogram sensor without prior preparation such as hair removal, collects phonocardiogram data and electrocardiogram data via a phonocardiogram sensor and an electrocardiogram sensor, and generates in-depth integrated data usable for diagnosing cardiac disease in pets by merging the electrocardiogram data, phonocardiogram data, and electrocardiogram data. [Means for solving the problem]

[0007] A pet cardiac disease monitoring system according to an embodiment of the present invention includes a capacitive electrocardiogram sensor that collects the pet's electrocardiogram signal based on capacitive coupling, comprising a first electrode, a second electrode, and a third electrode that are not in contact with the pet's skin; a phonocardiogram sensor that collects the pet's phonocardiogram signal; an electrocardiogram sensor that collects the pet's electrocardiogram signal; a sensor integrating body on which the capacitive electrocardiogram sensor, the phonocardiogram sensor, and the electrocardiogram sensor are arranged; and a sensor integrating body attached to the pet and worn on the pet, directed towards the pet's heart. The device includes a wearable member for positioning the sensor integration unit, a data conversion execution unit that converts the collected electrocardiogram signal, phonocardiogram signal, and cardiomegaly signal into data according to time to generate electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data, a data storage unit that stores the generated electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data, a data merging unit that merges the generated electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data to generate depth integration data, and a display that displays the depth integration data.

[0008] Furthermore, in a pet cardiac disease monitoring system according to an embodiment of the present invention, the phonocardiogram sensor is located in the center of the sensor integration body, the first electrode, the second electrode, and the third electrode are each located at the vertices of a virtual triangle centered on the phonocardiogram sensor, and the cardiomegaly sensor may be located between two of the first, second, and third electrodes.

[0009] Furthermore, in a pet cardiac disease monitoring system according to an embodiment of the present invention, one side of the sensor-integrated body facing the pet's skin may be provided with an internal space in which the phonocardiogram sensor is housed, and a through-hole through which heart sounds flow into the internal space.

[0010] Furthermore, in the pet cardiac disease monitoring system according to an embodiment of the present invention, the first electrode may be positioned between the pet's forelimbs.

[0011] Furthermore, in a pet cardiac disease monitoring system according to an embodiment of the present invention, the sensor integration unit may further include: an acceleration sensor mounted on the sensor integration unit for measuring acceleration; a motion discrimination unit that quantifies the movement of the pet based on the acceleration measured by the acceleration sensor; an abnormal signal classification unit that classifies the electrocardiogram signal measured in an abnormal signal time interval where the motion value quantified by the motion discrimination unit exceeds a predetermined threshold as an abnormal signal; and an electrocardiogram signal correction unit that corrects the electrocardiogram waveform data in the abnormal signal time interval.

[0012] Furthermore, in the pet cardiac disease monitoring system according to an embodiment of the present invention, the electrocardiogram signal correction unit can correct the electrocardiogram waveform data in the abnormal signal time interval based on the electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data that are measured in advance in the data storage unit, when the motion value quantified by the motion discrimination unit is below a predetermined threshold, and measured in the normal signal time interval.

[0013] Furthermore, in a pet cardiac disease monitoring system according to an embodiment of the present invention, the electrocardiogram signal correction unit may include a learning model that is learned from the electrocardiogram waveform data, phonocardiogram waveform data, and pylocardiogram waveform data measured in the normal signal time interval and stored in advance, and takes the phonocardiogram waveform data and pylocardiogram waveform data measured in the abnormal signal time interval as input and outputs the corrected electrocardiogram waveform data.

[0014] Furthermore, the pet cardiac disease monitoring system according to an embodiment of the present invention may further include a disease discrimination unit that determines the cardiac disease of the pet based on the depth integration data.

[0015] The features and advantages of the present invention will become more apparent from the following detailed description based on the accompanying drawings.

[0016] Prior to this, terms and words used in this specification and the claims should not be construed in a normal or dictionary sense, but should be construed in a meaning and concept consistent with the technical idea of the present invention in accordance with the principle that the inventor can appropriately define the concept of the terms in order to explain his invention in the best possible way.

Effects of the Invention

[0017] According to the present invention, since the electrocardiogram of a pet is measured via a non-contact capacitive electrocardiogram sensor, there is no need to contact the electrodes with the pet's skin, no prior preparation such as hair removal is required, and accurate electrocardiogram signals can be collected without restricting the movement of the pet.

[0018] In addition to the electrocardiogram signal, a phonocardiogram signal and a ballistocardiogram signal are collected, and by combining these to generate deep integration data, the heart condition of the pet can be grasped more accurately.

Brief Description of the Drawings

[0019] [Figure 1] It is a configuration diagram of a pet heart disease monitoring system according to an embodiment of the present invention. [Figure 2] It is a diagram showing an example of a block diagram of the capacitive electrocardiogram sensor shown in FIG. 1. [Figure 3] It is a diagram explaining the state in which the sensor integration main body shown in FIG. 1 is attached to a wearing member and worn on the heart part of a pet dog. [Figure 4] It is a diagram explaining the state in which the phonocardiogram sensor shown in FIG. 1 is worn. [Figure 5] It is a diagram explaining the positions of the electrodes of the capacitive electrocardiogram sensor, the phonocardiogram sensor, and the ballistocardiogram sensor in the state in which the sensor integration main body shown in FIG. 2 is attached to a wearing member and worn on the heart part of a pet dog. [Figure 6]A diagram for explaining depth integration data in which electrocardiogram waveform data, phonocardiogram waveform data, and ballistocardiogram waveform data generated by a pet heart disease monitoring system according to an embodiment of the present invention are merged. [Figure 7] A configuration diagram of a pet heart disease monitoring system according to another embodiment of the present invention. [Figure 8] A diagram for explaining the process of correcting an electrocardiogram signal in a pet heart disease monitoring system according to another embodiment of the present invention.

Modes for Carrying Out the Invention

[0020] The terms used in this specification are for explaining embodiments and are not intended to limit the present invention. In this specification, the singular form includes the plural form unless otherwise particularly stated in the text. "Comprises" and / or "comprising" used in the specification do not exclude the presence or addition of one or more other components in addition to the recited components. The same reference numerals throughout the specification denote the same components, and "and / or" includes each of the recited components and all combinations of one or more of them. For example, although "first", "second", etc. are used to describe various components, it is of course understood that these components are not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it is of course possible that the first component mentioned below may be the second component within the technical idea of the present invention.

[0021] Throughout the specification, when a certain part "includes" a certain component, this means that, unless otherwise stated to the contrary, it does not exclude other components but can further include other components. Also, terms such as "... part" and "module" described in the specification mean a unit that processes at least one function or operation, and this may be realized by hardware or software, or by a combination of hardware and software.

[0022] Various embodiments of the present invention will be described below with reference to the attached drawings.

[0023] Figure 1 is a diagram showing the configuration of a pet cardiac disease monitoring system according to an embodiment of the present invention, and Figure 2 is a diagram showing an example of a block diagram of the capacitive electrocardiogram sensor shown in Figure 1. Figure 3 is a diagram illustrating the state in which the sensor integrated unit shown in Figure 1 is attached to a wearable member and worn on the heart area of ​​a pet dog, and Figure 4 is a diagram illustrating the state in which the phonocardiogram sensor shown in Figure 1 is attached. Figure 5 is a diagram illustrating the positions of the electrodes of the capacitive electrocardiogram sensor, the phonocardiogram sensor and the cardiomegaly sensor in the state in which the sensor integrated unit shown in Figure 2 is attached to a wearable member and worn on the heart area of ​​a pet dog.

[0024] As shown in Figures 1 to 5, the pet cardiac disease monitoring system according to an embodiment of the present invention includes a capacitive electrocardiogram sensor 10 that collects the pet's electrocardiogram signal based on capacitive coupling, a phonocardiogram sensor 20 that collects the pet's phonocardiogram signal, a pyrocardiogram sensor 30 that collects the pet's pyrocardiogram signal, a sensor integration body 40 on which the capacitive electrocardiogram sensor 10, the phonocardiogram sensor 20, and the pyrocardiogram sensor 30 are arranged, and the sensor integration body 40 is attached to and worn on the pet. The system includes a wearable member 50 for positioning the sensor integration unit 40 toward the heart of a pet; a data conversion execution unit 60 that converts the collected electrocardiogram signals, phonocardiogram signals, and cardiomegaly signals into data according to time to generate electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data; a data storage unit 70 that stores the generated electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data; a data merging unit 80 that merges the generated electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data to generate depth integration data; and a display 90 that displays the depth integration data.

[0025] The present invention relates to a pet cardiac disease monitoring system that integrates electrocardiograms, pylocardiograms, and phonocardiograms generated by the pet's cardiac movement into a non-restrictive wearable device, allowing for integrated monitoring of the pet's cardiac movement and its depth. Conventional electrocardiogram measurements for diagnosing pet cardiac disease require contact between electrodes and the pet's skin, necessitating prior preparation such as hair removal to expose the skin, and requiring the pet's movement to be restricted to prevent the electrodes from coming off, making accurate electrocardiogram measurement difficult. The present invention was made as a solution to these problems.

[0026] Specifically, the pet cardiac disease monitoring system according to an embodiment of the present invention includes a capacitive electrocardiogram sensor 10, a phonocardiogram sensor 20, a cardiac dysphonogram sensor 30, a sensor integration unit 40, a wearable member 50, a data processing unit 60, a data storage unit 70, a data merging unit 80, and a display 90.

[0027] The capacitive electrocardiogram sensor 10 is a sensor that collects electrocardiogram signals from a pet based on capacitive coupling. An electrocardiogram (ECG) shows the electrical changes of the heart from the sinoatrial node to the contraction of the left ventricle, and consists of five waveforms: P, Q, R, S, and T (see Figure 6). In a normal pet, the ECG waveform repeats periodically, but in a pet with heart disease, the periodicity of the ECG waveform can be irregularly deformed because the heart movement is irregular. Capacitive coupling is a phenomenon in which energy is transferred from one circuit to another due to the mutual capacitance between two circuits that are separated from each other. In other words, it is a phenomenon in which the energy of an AC signal source is transferred to another circuit through a dielectric or air.

[0028] The capacitive electrocardiogram sensor 10 includes a first electrode 11, a second electrode 12, and a third electrode 13. Since the first electrode 11, the second electrode 12, and the third electrode 13 are based on capacitive coupling, they do not directly contact the pet's skin. The capacitive electrocardiogram sensor 10 is housed in a sensor integration body 40, but the first electrode 11, the second electrode 12, and the third electrode 13 may be located on the surface of the sensor integration body 40 or embedded within it. Here, the first electrode 11, the second electrode 12, and the third electrode 13 may not directly contact the pet's skin due to the sensor integration body 40 or air. In this case, at least the area of ​​the sensor integration body 40 located between the first electrode 11, the second electrode 12, and the third electrode 13 and the pet's skin may be made of an insulating material.

[0029] The first electrode 11, the second electrode 12, and the third electrode 13 can correspond to the north pole, the north pole, and the south pole, respectively. The first electrode 11, which corresponds to the north pole, is a negative electrode that acts as a reference point and serves as a relative reference compared to the north pole with respect to the electrical flow of the heart, and together with the north pole, can form an electrocardiogram signal. The second electrode 12 is the positive (P) pole of the electrocardiogram signal and can be located in a place where the electrical activity of the heart is strongly detected. The third electrode 13 is a ground or reference electrode (north pole) and is located in a place on the pet's body where the change in electrical signal is relatively small.

[0030] Referring to Figure 2, the capacitive electrodes of the capacitive electrocardiogram sensor 10, namely the first electrode 11 and the second electrode 12, have an infinite input impedance R BIAS It is implemented with a linear amplifier that can amplify minute and weak electrocardiogram signals. In addition, the capacitive electrocardiogram sensor 10 can be implemented with capacitive electrodes, a differential measuring amplifier, an analog signal processing unit, etc., to collect electrocardiogram signals. However, the block diagram of the capacitive electrocardiogram sensor 10 shown in Figure 2 is just one example, and the capacitive electrocardiogram sensor 10 should not necessarily be limited to this.

[0031] The phonocardiogram sensor 20 is a sensor that measures the phonocardiogram signal of a pet. A phonocardiogram (PCG) is the sound produced by the beating heart and the resulting blood flow, and is divided into the first heart sound S1, second heart sound S2, third heart sound S3, and fourth heart sound S4 (see Figure 6). The first heart sound S1 is the sound produced when the atrioventricular valve closes, and the second heart sound S2 is the sound produced when the aortic and pulmonary valves close. The first to fourth heart sounds S1 to S4 repeat periodically, but in the case of heart disease, the periodicity may be irregular or the sound may change, so heart disease can be diagnosed using a phonocardiogram. However, it is not easy to distinguish between the first heart sound S1 and the second heart sound S2 by auscultation alone. Therefore, even veterinarians find it almost impossible to distinguish the periodicity by auscultation alone and diagnose heart disease based on this.

[0032] The phonocardiogram sensor 20 can use MEMS microphones or the like, but is not necessarily limited to these, and can utilize a variety of acoustic sensors.

[0033] The ballistocardiogram sensor 30 is a sensor that collects ballistocardiogram signals from pets. A ballistocardiogram (BCG) is a micro-motion or vibration associated with the heartbeat, and its signals are classified into F waveforms, G waveforms, H waveforms, I waveforms, J waveforms, K waveforms, L waveforms, M waveforms, N waveforms, etc. (see Figure 6). In normal pet data, the ballistocardiogram signal also shows periodicity in the waveform, but if the pet has a heart disease, the periodicity and waveform may be irregularly deformed.

[0034] The heart rate sensor 30 can be a pressure sensor or a piezoelectric element. For example, a PVDF sensor can be used, but it is not necessarily limited to this.

[0035] The sensor integration body 40 is a component in which a capacitive electrocardiogram sensor 10, a phonocardiogram sensor 20, and a cardiomegaly sensor 30 are integrated and arranged. Here, the phonocardiogram sensor 20 may be located in the center of the sensor integration body 40. The first electrode 11, second electrode 12, and third electrode 13 of the capacitive electrocardiogram sensor 10 may be located one at each vertex of a virtual triangle centered on the phonocardiogram sensor 20. This triangular structure in which the first electrode 11, second electrode 12, and third electrode 13 are arranged corresponds to Einthoven's triangle, which is suitable for measuring electrocardiograms. The cardiomegaly sensor 30 may be located between two of the electrodes of the first electrode 11, second electrode 12, and third electrode 13. Here, the surface of the sensor integration body 40 may surround the capacitive electrocardiogram sensor 10, the phonocardiogram sensor 20, and the cardiomegaly sensor 30, so that the sensors are built into the sensor integration body 40. However, the capacitive electrocardiogram sensor 10, the phonocardiogram sensor 20, and the cardiomegaly sensor 30 do not necessarily have to be built inside the sensor integration body 40; all or part of them may be exposed on the outside of the sensor integration body 40.

[0036] The wearable member 50 is a garment worn by a pet. Such a wearable member 50 may be formed as a strap, top, vest, or a combination thereof, and there are no special restrictions on its form or material as long as it can be worn on the pet while covering the pet's heart area. The sensor integration body 40 is attached to the area of ​​the inner surface of the wearable member 50 that faces the pet's heart area. Therefore, the sensor integration body 40 is positioned toward the pet's heart area. Here, one side of the sensor integration body 40 faces the pet's heart area, and the other side of the sensor integration body 40 faces the inner surface of the pet's wearable member 50 (see Figure 3).

[0037] To effectively measure heart sounds, a phonocardiogram sensor 20 may be positioned on one side of the sensor integration unit 40 facing the pet's heart. Here, an internal space 41 in which the phonocardiogram sensor 20 is housed may be provided on one side of the sensor integration unit 40. Furthermore, a through-hole 42 may be provided to connect the internal space 41 and the heart so that heart sounds can flow into the internal space 41 (see Figure 4).

[0038] On the other hand, the positions of the first electrode 11, the second electrode 12, and the third electrode 13 are determined according to the position of the sensor integration body 40, but the sensor integration body 40 can be attached to the wearable member 50 such that the first electrode 11, which is the N pole, faces the area between the two forelimbs of the pet, and the second electrode 12, which is the P pole, faces the area between the posterior side of the forelimb closest to the heart and the lungs. Here, the cardiac elasticity sensor 30 may be positioned between the first electrode 11 and the second electrode 12 (see Figure 5).

[0039] The data processing unit 60, data storage unit 70, and data merging unit 80 process the electrocardiogram signals, phonocardiogram signals, and cardiomegaly signals collected from the capacitive electrocardiogram sensor 10, phonocardiogram sensor 20, and cardiomegaly signal sensor 30, but all or part of these may be built into the sensor integration unit 40 or included in external devices separate from the sensor integration unit 40. Here, external devices mean all electronic devices that process and store data, such as servers, systems, mobile terminals, and computers. Mobile terminals can include all types of handheld-based wireless communication devices that can connect to a web server via a network, such as mobile phones, smartphones, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), and tablet PCs. On the other hand, the sensor integration unit 40 may include a communication module (not shown) capable of transmitting the electrocardiogram signals, phonocardiogram signals, and cardiomegaly signals to external devices. The communication network used by the communication module can be configured regardless of its communication method, such as wired or wireless, and can be implemented using a variety of networks, such as a local area network (LAN), a metropolitan area network (MAN), or a wide area network (WAN). In one embodiment, the communication module can communicate with external devices using low-power Bluetooth (BLE) technology, or alternatively, it may utilize Wi-Fi (Wireless Fidelity) technology.

[0040] The data conversion execution unit 60 can convert the collected electrocardiogram signals, phonocardiogram signals, and electrocardiogram signals into data according to time, and generate electrocardiogram waveform data, phonocardiogram waveform data, and electrocardiogram waveform data.

[0041] The data storage unit 70 stores electrocardiogram waveform data, phonocardiogram waveform data, and pylocardiogram waveform data generated by the data processing unit 60. Such a data storage unit 70 may include memory, cache, buffer, etc., and may consist of software, firmware, hardware, or at least two or more combinations thereof. According to one embodiment, the data storage unit 70 may be configured in the form of a Micro SD card.

[0042] The data merging unit 80 merges the electrocardiogram waveform data, phonocardiogram waveform data, and cardiac dysphysics waveform data generated by the data conversion execution unit 60 to generate depth-integrated data. The electrocardiogram waveform data, phonocardiogram waveform data, and cardiac dysphysics waveform data can be generated in graph form for the electrocardiogram waveform, phonocardiogram waveform, and cardiac dysphysics waveform.

[0043] Electrocardiogram (ECG) waveform data, phonocardiogram (PHOC) waveform data, and electrocardiogram (ECT) waveform data are time-dependent data representations of the ECG, phonocardiogram, and ECT signals, and can therefore be synchronized and merged over time. This merged depth-integrated data allows for a single graph to represent the ECG, phonocardiogram, and ECT waveforms (see Figure 6). Here, the phonocardiogram waveforms appearing after the R-spike in the ECG waveform can be recognized as the first heart sound S1 and the second heart sound S2, respectively, making it easy to distinguish between the first heart sound S1 and the second heart sound S2, which are not easily distinguishable by audibility alone. Furthermore, the time-dependent relationships between the ECG, phonocardiogram, and ECT waveforms are integrated, allowing for early diagnosis of cardiac disease based on this data.

[0044] The display 90 displays the depth-integrated data generated by the data merging unit 80. The display 90 may be included in the aforementioned external device together with all or part of the data processing execution unit 60, data storage unit 70, and data merging unit 80, or it may be included in a separate device. For example, the display 90 may be a separate output device managed by a veterinarian.

[0045] As shown in Table 1 below, since pet heart disease can be diagnosed using electrocardiograms, phonocardiograms, and pylocardiograms, it is possible to diagnose heart disease early and accurately based on the necessary waveforms on depth-integrated data.

[0046] [Table 1]

[0047] Figure 7 is a diagram showing the configuration of a pet cardiac disease monitoring system according to another embodiment of the present invention, and Figure 8 is a diagram illustrating the process of correcting the electrocardiogram signal in a pet cardiac disease monitoring system according to another embodiment of the present invention.

[0048] Referring to Figure 7, another embodiment of the present invention of a pet cardiac disease monitoring system may further include an acceleration sensor 100, an motion discrimination unit 110, an abnormal signal classification unit 120, and an electrocardiogram signal correction unit 130.

[0049] The aforementioned capacitive electrocardiogram sensor 10 can collect electrocardiogram signals without contacting the pet's skin. However, if the pet moves vigorously, the first electrode 11, second electrode 12, and third electrode 13 may move out of their original positions, which can result in the collection of abnormal signals that are distorted or disappear from the electrocardiogram signal. Therefore, another embodiment of the present invention provides a pet cardiac disease monitoring system that further includes an acceleration sensor 100, a motion discrimination unit 110, an abnormal signal classification unit 120, and an electrocardiogram signal correction unit 130 as means for detecting the collection of abnormal signals and correcting the electrocardiogram signal.

[0050] The acceleration sensor 100 is mounted on the sensor integration unit 40 to measure acceleration. Because the acceleration sensor 100 is mounted on the sensor integration unit 40, it can detect whether the pet is moving and the speed of that movement. Such an acceleration sensor 100 can measure acceleration in the X, Y, and Z axis directions.

[0051] The motion determination unit 110 quantifies the pet's movement based on the acceleration measured by the acceleration sensor 100. This numerical value of movement can be represented by acceleration values ​​in the X, Y, and Z axes. Here, the quantified movement values ​​may be synchronized with the time at which the electrocardiogram sensor, phonocardiogram sensor 20, and cardiomegaly sensor 30 collect their respective signals, and recorded as time-based data. When the quantified movement value exceeds a predetermined threshold, the motion determination unit 110 determines that the pet is moving abnormally and records the time interval in which the threshold is exceeded. The time interval in which abnormal movement is determined is the abnormal signal time interval (Figure 8, "t") in which the electrocardiogram signal is distorted or disappears. k ~t k+1 It can correspond to the normal signal time interval (see "t" section in Figure 8). On the other hand, when the quantified motion value is below a predetermined threshold, it corresponds to the normal signal time interval (see "t" section in Figure 8). o Recording can be performed in the interval (see ~t1). Here, only electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data collected and generated in the normal signal time interval can be selectively stored in the data storage unit 70.

[0052] The abnormal signal classification unit 120 classifies the electrocardiogram signals measured during the abnormal signal time interval as abnormal signals.

[0053] The electrocardiogram signal correction unit 130 corrects the electrocardiogram waveform data during the abnormal signal time interval. Here, the electrocardiogram waveform data during the abnormal signal time interval can be corrected based on the electrocardiogram waveform data, phonocardiogram waveform data, and electrocardiogram waveform data collected and generated during the normal signal time interval and stored in the data storage unit 70.

[0054] As an example, an IJ waveform can be extracted from the electrocardiogram waveform data to correspond to the time period corresponding to the portion of the electrocardiogram waveform data where data is lost or distorted, and the portion of the electrocardiogram waveform data where data is lost or distorted can be corrected based on the extracted IJ waveform. The IJ waveform showing the largest amplitude in the electrocardiogram waveform can be extracted from the electrocardiogram waveform data, and the portion of the electrocardiogram waveform data where data is lost or distorted can be generated and compensated for based on the amplitude and shape of the IJ waveform. At this time, the J waveform (J-peak) captured on the electrocardiogram waveform data can be shifted to the time axis on the electrocardiogram waveform graph, and an R waveform (R-spike) can be generated to correct the portion of the electrocardiogram waveform data where data is lost or distorted.

[0055] As another example, the electrocardiogram signal correction unit 130 can correct electrocardiogram waveform data using a learning model. The learning model is a machine learning model trained to perform a task using an algorithm or a predefined set of steps. Such a learning model may be trained using electrocardiogram waveform data, phonocardiogram waveform data, and pylocardiogram waveform data measured in normal signal time intervals and stored in advance as a learning dataset. Here, the learning dataset can consist of a dataset in which ground truth (labels) exist, and electrocardiogram waveform data may be used as label data. Therefore, the learning model can take phonocardiogram waveform data and pylocardiogram waveform data measured in abnormal signal time intervals as input and output the corrected electrocardiogram waveform data.

[0056] On the other hand, a pet cardiac disease monitoring system according to another embodiment of the present invention may further include a disease discrimination unit 140.

[0057] The disease discrimination unit 140 can identify heart disease in pets based on depth integration data. Referring to Table 1, the electrocardiogram waveform data, pylocardiogram waveform data, and phonocardiogram waveform data have unique waveform shapes or irregularities depending on the type of heart disease. Therefore, by pre-setting electrocardiogram waveform data, pylocardiogram waveform data, and phonocardiogram waveform data that can distinguish heart disease and inputting depth integration data generated in real time, it is possible to diagnose heart disease in pets at an early stage.

[0058] Although the present invention has been described in detail above through specific examples and experimental cases, this is for the purpose of specifically illustrating the present invention, and it is clear that the present invention is not limited thereto, and that modifications and improvements can be made within the technical concept of the present invention by those with ordinary skill in the art.

[0059] Any simple modification or alteration of the present invention falls within the scope of the present invention, and the specific scope of protection of the present invention is clarified by the appended claims. [Explanation of symbols]

[0060] 10: Capacitive electrocardiogram sensor, 11: First electrode 12: 2nd electrode, 13: 3rd electrode 20: Phonogram sensor, 30: Echocardiogram sensor 40: Sensor integration unit, 41: Internal space 42: Through hole, 50: Wearing member 60: Data digitization execution unit, 70: Data storage unit 80: Data merging unit, 90: Display 100: Acceleration sensor, 110: Motion detection unit 120: Abnormal signal classification unit, 130: Electrocardiogram signal correction unit 140: Disease discrimination unit

Claims

1. A capacitive electrocardiogram sensor comprising a first electrode, a second electrode, and a third electrode that are not in contact with the pet's skin, and which collects the pet's electrocardiogram signal based on capacitive coupling, A phonocardiogram sensor for collecting the phonocardiogram signal of the aforementioned pet, A cardiac electrocardiogram sensor for collecting cardiac electrocardiogram signals from the aforementioned pet, A sensor integration unit on which the capacitive electrocardiogram sensor, the phonocardiogram sensor, and the cardiomegaly sensor are arranged, A wearable member to which the sensor integration body is attached and worn on the pet, and which positions the sensor integration body toward the heart area of ​​the pet, A data conversion execution unit that converts the collected electrocardiogram signal, phonocardiogram signal, and electrocardiogram signal into data according to time to generate electrocardiogram waveform data, phonocardiogram waveform data, and electrocardiogram waveform data, A data storage unit for storing the generated electrocardiogram waveform data, phonocardiogram waveform data, and electrocardiogram waveform data, respectively, A data merging unit merges the generated electrocardiogram waveform data, phonocardiogram waveform data, and cardiac dysphysics waveform data to generate integrated data. A display that shows the integrated data, Mounted on the aforementioned sensor integration unit is an acceleration sensor that measures acceleration, Based on the acceleration measured by the acceleration sensor, the motion determination unit quantifies the movement of the pet, An abnormal signal classification unit classifies the electrocardiogram signal measured in an abnormal signal during an abnormal signal time interval in which the motion value quantified by the motion discrimination unit exceeds a predetermined threshold, It includes an electrocardiogram signal correction unit that corrects the electrocardiogram waveform data for the abnormal signal time interval, The electrocardiogram signal correction unit is, The motion value quantified by the motion discrimination unit is measured in the normal signal time interval when it is below a predetermined threshold, and the electrocardiogram waveform data of the abnormal signal time interval is corrected based on the electrocardiogram waveform data, phonocardiogram waveform data, and cardiomegaly waveform data stored in the data storage unit beforehand. The electrocardiogram signal correction unit is, A pet cardiac disease monitoring system, comprising a learning model that is trained on the electrocardiogram waveform data, phonocardiogram waveform data, and pylocardiogram waveform data measured in the normal signal time interval and stored in advance, and that takes the phonocardiogram waveform data and pylocardiogram waveform data measured in the abnormal signal time interval as input and outputs the corrected electrocardiogram waveform data.

2. In the aforementioned integrated server unit, The aforementioned phonocardiogram sensor is located in the center of the sensor integration unit, The first electrode, the second electrode, and the third electrode are each positioned at the vertices of a virtual triangle centered on the phonocardiogram sensor. The pet cardiac disease monitoring system according to claim 1, wherein the cardiac dysmorphic sensor is positioned between two of the electrodes, the first electrode, the second electrode, and the third electrode.

3. The pet cardiac disease monitoring system according to claim 1, wherein one side of the sensor-integrated body facing the pet's skin is provided with an internal space in which the phonocardiogram sensor is housed and a through-hole through which heart sounds flow into the internal space.

4. The pet cardiac disease monitoring system according to claim 3, wherein the first electrode is positioned between the two forelimbs of the pet.

5. The pet heart disease monitoring system according to claim 1, further comprising a disease discrimination unit that determines the heart disease of the pet based on the integrated data.

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