KR20210084013A - Biosignal measuring apparatus for detecting abnormal signal section electrocardiogram data using heart sound data related to electrocardiogram data and biosignal measuring method - Google Patents

Abstract

The present invention is to provide a biosignal measuring apparatus and a biosignal measuring method, which can simultaneously sense electrocardiogram data and heart sound data, can reduce the storage capacity of the heart sound data by matching the storage time of the heart sound data to an abnormal signal section of the electrocardiogram data, and can reduce a communication resource for transmitting the heart sound data. An embodiment of the present specification discloses a biosignal measuring apparatus including: a sensing device which senses electrocardiogram data representing an electrical change according to a pulse of an object, and senses heart sound data according to the pulse; and a processing device which stores the electrocardiogram data in a memory, analyzes the electrocardiogram data to determine whether an abnormal signal is generated in the electrocardiogram data, generates a storage control signal for the heart sound data of a problematic section including an abnormal signal, when the abnormal signal is detected in the electrocardiogram data, and stores the heart sound data of the problematic section in the memory in response to the storage control signal.

Description

A biosignal measuring device and biosignal measuring method that detects abnormal signal section of electrocardiogram data using heart sound data related to electrocardiogram data }

Embodiments of the present specification relate to a biosignal measuring apparatus and a biosignal measuring method for detecting an abnormal signal section of electrocardiogram data using heart sound data related to electrocardiographic data.

In order to maintain human life, it is necessary to flow the blood released by the beating of the heart along the arteries to various parts of the body without blockage, and to return the blood back to the heart through the veins. In this way, oxygen and nutrients can be supplied to each tissue of the body and waste products consumed through metabolism can be removed.

However, if the blood is not properly delivered to a specific part of the body due to poor heart condition, or if the blood becomes turbid due to the occurrence of a thrombus or embolism in the blood, it can be life-threatening, such as blocking the capillaries of specific tissues of the body and causing tissue necrosis have. Therefore, in addition to clinical examination, imaging tests are used to examine the presence of abnormalities in the heart. As an early diagnosis method, the ECG signal is measured and the measured ECG signal is displayed in the form of a graph to determine whether there is an abnormality in the patient's heart. The method of determining is also widely used.

In other words, the electrocardiogram refers to the graph recording of the potential change that appears on the body surface according to the mechanical activity of the heartbeat, such as the contraction or expansion of the heart muscle. The electrocardiogram is simple to measure, reproducible, and easily repeated. As a noninvasive test that can be performed and the test cost is not expensive, it is usefully used to diagnose arrhythmias and coronary artery disease (cardiovascular disease), and to monitor the progress of cardiac patients.

In general, electrocardiogram is measured by attaching sensors for measuring electrocardiogram to the upper left and right and lower left and right sides of the chest, and using the potential difference detected according to the position of the sensor.

The technical task to be achieved by this embodiment is in accordance with the above-mentioned necessity,

A biosignal that simultaneously senses electrocardiogram data and heart sound data, but can reduce the storage capacity of the heart sound data by matching the storage time of the heart sound data to the abnormal signal section of the electrocardiogram data, and reduces communication resources for heart sound data transmission To provide a measuring device and a measuring method.

Another object of the present invention is to provide a biosignal measuring device and a measuring method that enhance the validity of an abnormal signal section generated in the heart by using electrocardiogram data and heart sound data complementary to each other.

A biosignal measuring apparatus according to embodiments of the present invention includes: a sensing device for sensing electrocardiogram data representing an electrical change according to a pulse of an object, and sensing heart sound data according to the pulse; and storing the electrocardiogram data in a memory and analyzing the electrocardiogram data to determine whether an abnormal signal is generated in the electrocardiogram data, and when it is detected that an abnormal signal is generated in the electrocardiogram data, the heart sound data of the abnormal signal section a processing device for generating a storage control signal and storing the heart sound data of the abnormal signal section in the memory in response to the storage control signal; can be detected.

The processing device may transmit and store the heart sound data of the problem section together with the electrocardiogram data to an external electronic device.

The processing device may time-multiplex the electrocardiogram data and heart sound data of the abnormal signal section stored in the memory.

The processing device samples the electrocardiogram data of the problem section at a first sampling rate, samples the heart sound data at a second sampling rate, and time mark information on corresponding points of the electrocardiogram data and the heart sound data of the problem section after tagging, validity of the abnormal signal section of the electrocardiogram data may be determined using the heart sound data by complementing the electrocardiogram data.

The processing device is configured to process the electrocardiogram data and the heart sound data using first time mark information included in the electrocardiogram data at the first sampling rate and second time mark information included in the heart sound data at the second sampling rate. Precise synchronization is possible.

The processing device may determine the validity of the abnormal signal section of the problem section by using the heart sound data complementary to the electrocardiogram data.

A biosignal measuring apparatus according to embodiments of the present invention includes: a sensing device for sensing electrocardiogram data representing an electrical change according to a pulse of an object, and sensing heart sound data according to the pulse; When the electrocardiogram data is stored in a memory, the electrocardiogram data is transmitted to an external electronic device, and a storage control signal received from the external electronic device is received, the heart sound data of the abnormal signal section corresponding to the storage control signal is stored and a processing device that stores the data in the memory of the electronic device.

A biosignal measuring method according to embodiments of the present invention includes: sensing, by a biosignal measuring apparatus, electrocardiogram data representing an electrical change according to a pulse of an object, and sensing heart sound data according to the pulse; and storing, by the biosignal measuring device, the electrocardiogram data in a memory. determining, by the biosignal measuring device, whether an abnormal signal is generated in the electrocardiogram data by analyzing the electrocardiogram data; generating, by the biosignal measuring apparatus, a storage control signal for heart sound data of an abnormal signal section when it is detected that an abnormal signal is generated in the electrocardiogram data; and storing, by the biosignal measuring apparatus, the heart sound data of the abnormal signal section in the memory in response to the storage control signal.

In addition, the biosignal measuring method according to the embodiments of the present invention may further include processing, by the biosignal measuring device, to transmit and store the heart sound data of the abnormal signal section together with the electrocardiogram data to an external electronic device. can

The determining may further include time multiplexing the electrocardiogram data and heart sound data of the abnormal signal section stored in the memory.

The determining may include sampling the electrocardiogram data of the problem section at a first sampling rate, sampling the heart sound data at a second sampling rate, and storing the heart sound data in the memory, followed by the electrocardiogram of the problem section. The method may further include: after tagging time mark information at corresponding points of the data and the heart sound data, determining the validity of the abnormal signal section of the electrocardiogram data using the heart sound data by complementing the electrocardiogram data .

The determining may include: the electrocardiogram data and the heart sound data using first time mark information included in the electrocardiogram data at the first sampling rate and second time mark information included in the heart sound data at the second sampling rate can be precisely synchronized.

The method may further include, after storing the heart sound data in the memory, complementing the electrocardiogram data and determining the validity of the abnormal signal section of the problem section using the heart sound data.

A computer program according to an embodiment of the present invention may be stored in a medium to execute any one of the methods according to an embodiment of the present invention using a computer.

In addition to this, another method for implementing the present invention, another system, and a computer readable recording medium for recording a computer program for executing the method are further provided.

Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to the present embodiments, although the electrocardiogram data and the heart sound data are simultaneously sensed, the storage time of the heart sound data may correspond to the abnormal signal section of the electrocardiogram data to reduce the storage capacity of the heart sound data, and communication for the transmission of the heart sound data Resources can also be reduced.

In addition, the validity of the abnormal signal section generated in the heart can be increased by using the electrocardiogram data and the heart sound data complementary to each other.

1 is a block diagram of an apparatus for measuring biosignals according to embodiments of the present invention.
2 is a block diagram illustrating data transmission/reception between a sensing device and a processing device. 3 is a block diagram of an analysis unit of the processing device.
4 is a flowchart of a biosignal measuring method according to embodiments of the present invention.
5 is a diagram illustrating data transmission/reception between a biometric measurement device and a user terminal.
6 is a flowchart of a biosignal measuring method according to embodiments of the present invention.
7 is a diagram for explaining the correlation between heart sound data and electrocardiogram data.
Fig. 8 is a diagram for explaining an acquisition time section of heart sound data.

“Includes,” which can be used in various embodiments of the present disclosure. or "may include." The expression “etc” indicates the existence of the disclosed function, operation, or component, and does not limit one or more additional functions, operations, or components. Also, in various embodiments of the present disclosure, "includes." Or "have." The term such as is intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and is intended to indicate that one or more other features or numbers, steps, operation, component, part or It should be understood that it does not preclude the possibility of the existence or addition of combinations thereof.

In various embodiments of the present disclosure, expressions such as “or” include any and all combinations of the words listed together. For example, "A or B" may include A, may include B, or may include both A and B.

Expressions such as “first”, “second”, “first”, or “second” used in various embodiments of the present disclosure may modify various components of various embodiments, but do not limit the components. does not For example, the above expressions do not limit the order and/or importance of corresponding components. The above expressions may be used to distinguish one component from another. For example, both the first user device and the second user device are user devices, and represent different user devices. For example, without departing from the scope of the various embodiments of the present disclosure, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

When a component is referred to as being “connected” or “connected” to another component, the component may be directly connected or connected to the other component, but the component and It should be understood that other new components may exist between the other components. On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it will be understood that no new element exists between the element and the other element. should be able to

In an embodiment of the present disclosure, terms such as “module”, “unit”, “part”, etc. are terms used to refer to a component that performs at least one function or operation, and these components are hardware or software. It may be implemented or implemented as a combination of hardware and software. In addition, a plurality of "modules", "units", "parts", etc. are integrated into at least one module or chip, and are integrated into at least one processor, except when each needs to be implemented in individual specific hardware. can be implemented as

The terminology used in various embodiments of the present disclosure is only used to describe one specific embodiment, and is not intended to limit the various embodiments of the present disclosure. The singular expression includes the plural expression unless the context clearly dictates otherwise.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present disclosure pertain.

Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in various embodiments of the present disclosure, ideal or excessively formal terms not interpreted as meaning

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings.

In the present specification, the biosignal refers to a signal including data such as body temperature, pulse, electrocardiogram, brain wave, respiration rate, step number, stress, hormone, exercise amount, calories consumed, body fat, body water content, blood sugar value, blood pressure, and the like.

1 is a block diagram of a biosignal measuring apparatus 100 according to embodiments of the present invention.

The biosignal measuring device 100 uses the electrocardiogram data and the heart sound data complementary to analyze the abnormal signal included in the electrocardiogram data, the processing device 110 , the sensing device 120 , the communication device 130 , It may include a memory 140 .

The biosignal measuring apparatus 100 may be a device for measuring biosignals of a person or an animal. The biosignal measuring apparatus 100 may be mounted on the object obj non-invasively or invasively to measure an electrocardiogram according to the heartbeat of the object. The biosignal measuring apparatus 100 may be implemented in a form attached to the skin or body of an object, but is not limited thereto and may be implemented in various ways. Here, the object obj may be a part of a human or animal body, such as a person, an animal, or a chest, but is not limited thereto, and any object obj may be an object if it can sense or measure an electrocardiogram. In addition, an electrocardiogram is a graph that records the potential change that appears on the body surface according to the mechanical activity of the heartbeat, such as myocardial contraction/expansion. The meaning of 'sensing the electrocardiogram' means that the body depends on the heartbeat of the subject. It is the same as the meaning of 'sensing potential' generated on the surface.

The processing device 110 may be electrically connected to the sensing device 120 , the communication device 130 , and the memory 140 to process a biosignal of an object. The processing device 110 may receive the electrocardiogram data and the heart sound data sensed by the sensing device 120 and analyze the electrocardiogram data by mutually using the electrocardiogram data and the heart sound data. The processing device 110 may detect an abnormal signal section of the electrocardiogram data based on the heart sound data. The processing device 110 may analyze the electrocardiogram data to detect information about the abnormal signal section. The processing device 110 may determine the validity of the abnormal signal section by using heart sound data corresponding to the abnormal signal section. The processing device 110 may include detailed components as illustrated in FIG. 2 .

The sensing device 120 may be invasively or non-invasively attached to the body of the object to sense electrocardiogram data and/or heart sound data of the object. The sensing device 120 may include a means for sensing the electrocardiogram data and/or a means for sensing the heart sound data integrally or separately. The sensing device 120 may measure electrocardiogram data of one or more channels by a plurality of electrodes. The sensing device 120 may receive electrocardiogram measurement data of one or more channels measured by electrically connected electrodes. Optionally, the sensing device 120 may be implemented to transmit the sensed electrocardiogram data and heart sound data through a single line. The sensing device 120 may be implemented to divide the total usage time for each type of data to be transmitted, set a section for each data, and transmit each data through an assigned time section.

The communication device 130 is a device for transmitting and receiving data to and from devices such as a server and other electronic devices through a communication network. The communication device 130 is a device for transmitting and receiving data through a wireless network or a wired network. The communication device 130 may transmit/receive the electrocardiogram data or the heart sound data in a different manner according to the control signal of the processing device 110 . The electrocardiogram data is transmitted to an external electronic device. For heart sound data sensed by the sensing device 120 , only a portion corresponding to a problem section selected from the storage control signal may be processed to be transmitted to an external electronic device.

The memory 140 may store a biosignal including electrocardiogram data and/or heart sound data sensed by the sensing device 120 . The memory 140 may store a program for processing and controlling the processing device 110 . The memory 140 may store data transmitted through the communication device 130 and data received through the communication device 130 . The memory 140 may store electrocardiogram data generated by the processing device 110 , heart state information of the object, and the like. The electrocardiogram data may be stored in the internal memory 140 . For heart sound data, only a portion corresponding to a problem section selected from the storage control signal may be stored in the internal memory 140 .

Although the processing device 110 and the sensing device 120 are provided in one device in FIG. 1 , the processing device 110 and the sensing device 120 may be provided and implemented in separate devices. In this case, the processing device 110 and the sensing device 120 may be connected electrically or through a communication network.

2 is a block diagram illustrating an operation between the processing device 110 and the sensing device 120 .

The sensing device 120 may include a heart sound acquisition unit 121 and a biosignal acquisition unit 122 .

The heart sound acquisition unit 121 acquires a heart sound symbol. The heart sound acquisition unit 121 may be implemented by including a heart sound microphone for acquiring a heart sound, and an AD conversion unit for converting a heart sound signal into heart sound data. The heart sound acquisition unit 121 may further include an amplifying unit for amplifying the heart sound signal.

The biosignal acquisition unit 122 may acquire an electrocardiogram signal, which is an electrical change according to a heartbeat obtained from an electrode. The biosignal acquisition unit 122 may include a measurement electrode for acquiring an ECG signal, and an AD converter for converting the ECG signal measured by the measurement electrode into ECG data. The biosignal acquisition unit 122 may further include an amplifying means for amplifying the electrocardiogram signal.

The electrocardiogram data and the heart sound data from the heart sound acquisition unit 121 and the biosignal acquisition unit 122 may be transmitted to the processing device 110 and processed. The abnormal signal section detecting unit 111 may detect the abnormal signal section by analyzing the electrocardiogram data.

The abnormal signal section detector 111 may analyze the electrocardiogram data and detect the abnormal signal section based on the slope value, the peak value, and the R-R interval value. The abnormal signal section detector 111 may detect the R-peak candidate group based on the average value of the slope value and the peak value of the electrocardiogram data. The abnormal signal section detector 111 may detect the abnormal signal section based on the peak average value, the slope average value, and the R-R interval value in the R-peak candidate group. The abnormal signal section detecting unit 111 is not limited to the above embodiment, and may detect the abnormal signal section based on a voltage value, a pattern, and a slope value of the electrocardiogram data. Here, the abnormal signal section refers to a time section including specific signals such as ventricular fibrillation, atrial fibrillation, and arrhythmia.

The heart sound data controller 112 may store heart sound data corresponding to the abnormal signal period in the memory in response to the storage control signal. The heart sound data controller 112 may transmit heart sound data corresponding to the abnormal signal section to the external electronic device in response to the storage control signal received from the external electronic device. The storage control signal may include information about the abnormal signal period.

The complementary analysis unit 113 may determine the validity of the abnormal signal section by complementing the heart sound data stored by the storage control signal.

If an abnormal signal is detected in the heart sound data, the complementary analysis unit 113 determines that the abnormal signal section is appropriate.

When an abnormal signal is not detected in the heart sound data and a normal signal pattern is detected, the complementary analysis unit 113 may determine that the abnormal signal section is not valid and that there is an error in the measurement of the electrocardiogram data. For example, when the abnormal signal section is not valid, it may be determined that the biosignal acquisition unit 122 is spaced apart from being directly attached to the skin of the object. When the abnormal signal section is not valid, the biosignal acquisition unit 122 may determine that the electrocardiogram data contains noise.

With reference to FIG. 3 , detailed components of the synchronization unit 1131 , the noise extraction unit 1132 , the state analysis unit 1133 , and the marking unit 1134 of the complementary analysis unit 113 will be described as follows. .

The synchronization unit 1131 may synchronize the electrocardiogram data and the heart sound data by using the electrocardiogram data and the heart sound data complementary to each other. The synchronization unit 1131 may synchronize the electrocardiogram data and heart sound data of the abnormal signal section.

The synchronization unit 1131 may synchronize the electrocardiogram data and the heart sound data by respectively corresponding points of the heart sound data determined in consideration of the heartbeat period determined at the points of the electrocardiogram data for the abnormal signal section. In this case, the points of the electrocardiogram data may respectively correspond to points of the heart sound data determined in consideration of the heartbeat cycle. In this way, the electrocardiogram data and the heart sound data can be synchronized.

In an optional embodiment, in this case, points in the electrocardiogram data and corresponding points in the heart sound data may be tagged with time mark information related to each other. The synchronization unit 1131 may tag time mark information related to each other at corresponding points of the synchronized electrocardiogram data and heart sound data. In another embodiment, the synchronization unit 1131 may tag time mark information on the electrocardiogram data and/or the heart sound data. Here, the time mark information may be a recording time value recorded by the sensing device 120 , a reception time value received by the processing device 110 , and the like. In addition, the time value may be tagged with respect to electrocardiogram data and/or heart sound data corresponding to predetermined points within a heartbeat cycle. For example, on a heartbeat cycle, time mark information for a peak point, a P wave point, a Q wave point, a start time of a heartbeat cycle, etc. may be tagged to the electrocardiogram data and the heart sound data. The synchronization unit 1131 may sample the electrocardiogram data at the first sampling rate and sample the heart sound data at the second sampling rate. The synchronization unit 1131 may synchronize the ECG data and the heart sound data after tagging the time mark information on corresponding points of the ECG data and the heart sound data. The synchronization unit 1131 may synchronize the electrocardiogram data and the heart sound data using the first time mark information included in the electrocardiogram data at the first sampling rate and the second time mark information included in the heart sound data at the second sampling rate. .

The synchronization unit 1131 may synchronize the generation time of the 1-1 point of the electrocardiogram data and/or the generation time of the first-2 point of the heart sound data. Points 1-1 and 1-2 may correspond to points in the heartbeat interval of the object. The synchronization unit 1131 may synchronize the electrocardiogram data and/or the heart sound data by using the marked time values.

In an optional embodiment, the synchronization unit 1131 may further perform a process of removing noise from the heart sound data prior to synchronization. In the process of removing the noise of the heart sound data, a noise removal algorithm for a sound generally used in the relevant technical field may be used, but is not limited thereto.

In an optional embodiment, the synchronization unit 1131 may time-multiplex the electrocardiogram data and the heart sound data prior to synchronization. In the multiplexing process, electrocardiogram data may be sampled at a first sampling rate, and heart sound data may be sampled at a second sampling rate. The synchronization unit 1131 may synchronize the electrocardiogram data and the heart sound data processed through the above process.

After synchronizing the electrocardiogram data and the heart sound data, the synchronizer 1131 may determine the validity of the R peak of the electrocardiogram data using the heart sound data. The validity of the R peak of the electrocardiogram data may be determined using heart sound data for a predetermined time period from the occurrence point of the R peak.

The noise extractor 1132 may detect noise included in the electrocardiogram data by considering the electrocardiogram data and/or heart sound data complementary to each other. The noise extractor 1132 may extract noise included in the electrocardiogram data by using the heart sound data complementary to the electrocardiogram data. Here, the electrocardiogram data may include various types of noise such as motion noise and muscle noise due to the characteristics of the signal.

More specifically, the noise extractor 1132 may detect the noise of the electrocardiogram data based on a correlation between a change pattern of an electrical component (voltage, current, etc.) of the electrocardiogram data and a frequency characteristic of the heart sound data. The noise extractor 1132 may detect noise in the heart sound data by using the electrocardiogram data. The noise extractor 1132 may detect signals and sections of signals having low correlation with heart sound data from the electrocardiogram data, and detect the signals and sections of the signals as noise. For example, when it is detected that the 1-1 point having the relatively highest voltage value in the electrocardiogram data is a value that is not related to the 1-1 point and the 1-2 point in the heart sound data corresponding to the 1-1 point, the corresponding The electrocardiogram data of the 1-1 point is a signal having low correlation with the heart sound data, and may be detected as noise. The noise extractor 1132 may detect location information of a noise generating noise based on the correlation between the electrocardiogram data and the heart sound data.

The noise extractor 1132 may determine the level of noise included in the ECG data by comparing the noise generation point information with waveforms of the ECG data at corresponding points in the previous cycle. Here, the noise level may be calculated as a difference value between the data values of the electrocardiogram data by comparing the electrocardiogram data measured in the previous period and the electrocardiogram data of the noise section based on corresponding points. Here, the difference value may be a difference value between voltage values of the electrocardiogram data.

The noise extractor 1132 may also detect noise included in the heart sound data based on the correlation with the electrocardiogram data.

The state analyzer 1133 may generate heart state information of the object based on the electrocardiogram data and/or heart sound data processed through the synchronizer 1131 and the noise extractor 1132 . The heart state information may include information corresponding to ECG data such as heart rate, R peak value, R-R interval, and P wave point, and disease information derived from the shape and value of the ECG data.

The marking unit 1134 may mark a tag corresponding to the heart condition information generated through the condition analysis unit 1133 on the electrocardiogram data or the heart sound data.

4 is a flowchart of a biosignal measuring method according to embodiments of the present invention.

As shown in FIG. 4 , in S110 , the biosignal measuring apparatus 100 senses electrocardiogram data and heart sound data according to the pulse of the object. The biosignal measuring apparatus 100 may include a means for sensing the electrocardiogram data and the heart sound data integrally, or a means for sensing the electrocardiogram data and a means for sensing the heart sound data, respectively.

In S120, the biosignal measuring apparatus 100 may analyze the electrocardiogram data to determine whether an abnormal signal is generated in the electrocardiogram data.

In S130, the biosignal measuring apparatus 100 may detect whether an abnormal signal is generated in the electrocardiogram data, and may generate a storage control signal for the heart sound data in the abnormal signal section. The biosignal measuring apparatus 100 may store the heart sound data of the abnormal signal section in the memory in response to the storage control signal.

The biosignal measuring apparatus 100 may store the electrocardiogram data in the memory, but with respect to the heart sound data, only the heart sound data corresponding to the abnormal signal period may be stored in the memory.

The biosignal measuring apparatus 100 may transmit the electrocardiogram data to an external electronic device, but with respect to the heart sound data, only heart sound data corresponding to an abnormal signal section may be transmitted to the external electronic device.

5 is a view for explaining data transmission/reception between the biosignal measuring apparatus 100 and the user terminal 200 according to embodiments of the present invention.

In another embodiment, the biosignal measuring apparatus 100 may transmit the entire section of the electrocardiogram data to the user terminal 200 and transmit the abnormal signal section of the heart sound data to the user terminal 200 .

In this case, the data corresponding to the abnormal signal section of the heart sound data may be determined by the storage control signal generated by the user terminal 200 . The biosignal measuring apparatus 100 may store the heart sound data of the abnormal signal section in an internal memory in response to the storage control signal, and transmit the heart sound data of the abnormal signal section to the user terminal 200 . Through this, it is possible to reduce communication resources for transmission of heart sound data.

As shown in FIG. 6 , in S210 , the biosignal measuring apparatus 100 periodically senses electrocardiogram data and heart sound data.

In S220, the biosignal measuring apparatus 100 may store the electrocardiogram data in a memory and periodically transmit the electrocardiogram data to an external electronic device.

In S230, the biosignal measuring apparatus 100 may detect whether a storage control signal is received from an external electronic device, and store heart sound data of an abnormal signal section in a memory in response to the received storage control signal.

In S240, the biosignal measuring apparatus 100 may transmit the electrocardiogram data and heart sound data of the abnormal signal section to an external electronic device.

As illustrated in FIG. 7 , heart sound data SD related to P, Q, R, S, and T on the heartbeat interval 1 in the electrocardiogram data ED indicating electrical changes according to the pulse exist.

The abnormal signal section detector 111 of the biosignal measuring device 100 analyzes the electrocardiogram data ED based on the time section (RR time interval, interval1), and analyzes the waveform, slope value, peak value, etc. of the electrocardiogram data for each section. An abnormal signal section of the electrocardiogram data may be detected based on the electrocardiogram data. The time interval of the electrocardiogram data may be determined by specific waves P1 and P2 included in the electrocardiogram data.

If an abnormal signal is detected even in the heart sound data of the abnormal signal section, the abnormal signal section detected through the electrocardiogram data may be determined to be reasonable.

If an abnormal signal is not detected in the heart sound data of the abnormal signal section, the electrocardiogram data is incorrectly sensed by the sensing means detached or the various noises during electrocardiogram measurement, for example, muscle noise, movement of the object, etc. in the abnormal signal section. can be judged to be

For example, when it is determined that the point P2 is an abnormal signal period, the biosignal measuring apparatus 100 generates a storage control signal and stores, among the measured heart sound data, heart sound data ATC corresponding to the abnormal signal period in memory. It can be stored in the , and processed to transmit the heart sound data (ATC) to an external electronic device. The biosignal measuring apparatus 100 may determine the validity of the abnormal signal section by using the electrocardiogram data and the heart sound data complementary to each other.

In another embodiment, the storage control signal may be generated and received by an external electronic device. In this case, the function of detecting the abnormal signal section may be performed by an external electronic device. The external electronic device may determine the validity of the abnormal signal section by using the received heart sound data of the abnormal signal section.

As shown in FIG. 8 , the biosignal measuring apparatus 100 according to embodiments of the present invention may be implemented to acquire heart sound data only in a specific time period.

When extracting a specific wave from the electrocardiogram data, the biosignal measuring apparatus 100 may acquire only the specific time period WP1 and WP2 in order to use the heart sound data complementary to each other. Here, the specific wave may be limited to an abnormal signal, and may refer to a periodically generated point. The control signal for the heart sound acquisition cycle is transmitted to the heart sound acquisition unit 121 of the biosignal measuring apparatus 100, and the heart sound acquisition unit 121 acquires the heart sound signal only in a specific time period in the heart sound acquisition cycle according to the control signal. can do. A specific time period in which the heart sound signal is acquired may be determined through the electrocardiogram data acquired through the biosignal acquisition unit 122 . The specific time period for acquiring the heart sound signal may be determined based on the generation time of the specific waveform in the electrocardiogram data, the abnormal signal interval, and the point at which the abnormal signal is generated.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

100: biosignal measuring device
110: processing device 120: sensing device
130: communication device 140: memory

Claims (13)

a sensing device for sensing electrocardiogram data indicating an electrical change according to the pulse of the object, and sensing heart sound data according to the pulse; and
storing the electrocardiogram data in memory;
The ECG data is analyzed to determine whether an abnormal signal is generated in the ECG data, and when it is detected that an abnormal signal is generated in the ECG data, a storage control signal is generated for the heart sound data in the abnormal signal section, and the storage control is performed. and a processing device for storing heart sound data of the abnormal signal section in the memory in response to a signal, and detecting an abnormal signal section of the electrocardiogram data using the heart sound data related to the electrocardiogram data. According to claim 1,
the processing device
A biosignal measuring apparatus for detecting an abnormal signal section of the electrocardiogram data using heart sound data related to the electrocardiogram data, wherein the heart sound data of the problem section is transmitted and stored together with the electrocardiogram data to an external electronic device. According to claim 1,
the processing device
and time-multiplexing the electrocardiogram data and heart sound data of the abnormal signal section stored in the memory. According to claim 1,
the processing device
sampling the electrocardiogram data of the problem section at a first sampling rate, and sampling the heart sound data at a second sampling rate,
Time mark information is tagged on corresponding points of the electrocardiogram data and the heart sound data in the problem section, and the validity of the abnormal signal section of the electrocardiogram data is determined using the heart sound data by complementing the electrocardiogram data. , a biosignal measuring device. 5. The method of claim 4,
the processing device
precisely synchronizing the electrocardiogram data and the heart sound data using first time mark information included in the electrocardiogram data at the first sampling rate and second time mark information included in the heart sound data at the second sampling rate; Biosignal measuring device. According to claim 1,
the processing device
and determining validity of the abnormal signal section of the problem section by using the heart sound data complementary to the electrocardiogram data.
a sensing device for sensing electrocardiogram data indicating an electrical change according to the pulse of the object, and sensing heart sound data according to the pulse;
storing the electrocardiogram data in a memory and transmitting the electrocardiogram data to an external electronic device;
When the storage control signal received from the external electronic device is received, the processing device stores the heart sound data of the abnormal signal section in the memory of the electronic device in response to the storage control signal; . sensing, by the biosignal measuring apparatus, electrocardiogram data representing an electrical change according to the pulse of the object, and sensing heart sound data according to the pulse; and
storing, by the biosignal measuring device, the electrocardiogram data in a memory;
determining, by the biosignal measuring device, whether an abnormal signal is generated in the electrocardiogram data by analyzing the electrocardiogram data;
generating, by the biosignal measuring apparatus, a storage control signal for heart sound data of an abnormal signal section when it is detected that an abnormal signal is generated in the electrocardiogram data;
and storing, by the biosignal measuring device, the heart sound data of the abnormal signal section in the memory in response to the storage control signal. 9. The method of claim 8,
The biosignal measuring method further comprising the step of processing, by the biosignal measuring device, to transmit and store the heart sound data of the abnormal signal section together with the electrocardiogram data to an external electronic device. 9. The method of claim 8,
The judging step
The method further comprising the step of time-multiplexing the electrocardiogram data and heart sound data of the abnormal signal section stored in the memory. 9. The method of claim 8,
The judging step
sampling the electrocardiogram data of the problem section at a first sampling rate, and sampling the heart sound data at a second sampling rate,
After the step of storing the heart sound data in the memory
After tagging time mark information on corresponding points of the electrocardiogram data and the heart sound data in the problem section, complementing the electrocardiogram data and determining the validity of the abnormal signal section of the electrocardiogram data using the heart sound data Further comprising, a biosignal measuring method. 12. The method of claim 11,
The judging step
precisely synchronizing the electrocardiogram data and the heart sound data using first time mark information included in the electrocardiogram data at the first sampling rate and second time mark information included in the heart sound data at the second sampling rate; A method for measuring biosignals. 9. The method of claim 8,
After the step of storing the heart sound data in the memory
The method further comprising the step of determining validity of the abnormal signal section of the problem section using the heart sound data complementary to the electrocardiogram data.

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