JP2022167175A - Biological signal measuring device and biological signal measuring method for detecting abnormal signal section of electrocardiogram data using cardiac sound data related to electrocardiogram data - Google Patents

Abstract

To provide a biological signal measuring device and a biological signal measuring method for detecting an abnormal signal section of electrocardiogram data using cardiac sound data related to the electrocardiogram data.SOLUTION: A biological signal measuring device includes: a sensing device for sensing electrocardiogram data indicating an electric change by a pulse of an object body and sensing cardiac sound data by a pulse; and a processing device for storing the electrocardiogram data in a memory, analyzing the electrocardiogram data, determining whether or not an abnormal signal is generated in the electrocardiogram data, generating a storage control signal for cardiac sound data in an abnormal signal section including an abnormal signal when it is detected that an abnormal signal is generated in the electrocardiogram data, and storing the cardiac sound data in the abnormal signal section in the memory in response to the storage control signal.SELECTED DRAWING: Figure 1

Description

The present invention relates to a biological signal measuring apparatus and a biological signal measuring method for detecting an abnormal signal section of electrocardiogram data using heart sound data related to electrocardiogram data.

In order to sustain human life, it is necessary for the blood released by the beating of the heart to be sent along the arteries to all parts of the body without stagnation, and then to be sent back again by the heart through the veins. be. As a result, it can supply oxygen and nutrients to each tissue of the body and remove waste products consumed through metabolism.

However, if the condition of the heart is not good, the blood cannot be delivered properly to a specific part of the body, or if a thrombus or embolism occurs in the blood, and the blood becomes cloudy, the capillaries in specific tissues of the body will be blocked, Lives are also at risk, such as inducing tissue death. Therefore, in order to examine the presence or absence of cardiac abnormalities, video examinations and the like are used in addition to clinical examinations, and an electrocardiogram is measured as a method for early diagnosis, and the measured electrocardiogram signals are displayed in a graph to display the patient's condition. A method for determining the presence or absence of an abnormality in the heart is also widely used.

In other words, an electrocardiogram is a graph that records changes in potential on the surface of the body due to the mechanical activity of the heart beat, such as the contraction and dilation of the heart muscle. It is a non-invasive test that is simple to measure, reproducible, can be easily repeated and recorded, and does not require high examination costs. It is useful for follow-up observation of

In general, an electrocardiogram is measured by attaching electrocardiogram sensors to the upper left and right sides of the chest and to the lower right and left sides of the chest and using potential differences sensed by the positions of the sensors.

The technical problem to be solved by the present embodiment is due to the above-mentioned necessity. Although the electrocardiogram data and the heart sound data are simultaneously sensed, the storage time point of the heart sound data is made to correspond to the abnormal signal section of the electrocardiogram data, An object of the present invention is to provide a biological signal measuring apparatus and a measuring method capable of reducing the storage capacity of heart sound data and reducing communication resources for transmitting heart sound data.

Another object of the present invention is to provide a biosignal measuring apparatus and a measuring method that use electrocardiogram data and heart sound data in a mutually complementary manner to increase the validity of an abnormal signal section occurring in the heart.

A biological signal measuring apparatus according to an embodiment of the present invention comprises a sensing device for sensing electrocardiogram data indicating an electrical change due to the pulse of a subject, sensing heart sound data due to the pulse, and storing the electrocardiogram data in a memory, analyzing the electrocardiogram data, determining whether or not an abnormal signal has occurred in the electrocardiogram data, and if it is detected that an abnormal signal has occurred in the electrocardiogram data, controlling storage of the heart sound data in the abnormal signal section; a processor that generates a signal, is responsive to the storage control signal, and stores heart sound data for the abnormal signal interval in the memory. is a device capable of detecting

The processing device may transmit the heart sound data of the abnormal signal interval together with the electrocardiogram data to an external electronic device for storage.

The processing device can time-division multiplex the electrocardiogram data and the heart sound data of the abnormal signal interval stored in the memory.

The processing device samples the electrocardiogram data of the abnormal signal interval at a first sampling rate, samples the heart sound data at a second sampling rate, and time-matches corresponding points of the electrocardiogram data and the heart sound data of the abnormal signal interval. After tagging the mark information, the electrocardiogram data can be interpolated, and the heart sound data can be used to determine the validity of the abnormal signal section of the electrocardiogram data.

The processing unit utilizes first timemark information included in the electrocardiogram data at the first sampling rate and second timemark information included in the heart sound data at the second sampling rate, Electrocardiogram data and the heart sound data can be precisely synchronized.

The processor can complement the electrocardiogram data and utilize the heart sound data to determine the validity of the abnormal signal interval.

A biological signal measuring apparatus according to an embodiment of the present invention comprises a sensing device for sensing electrocardiogram data indicating an electrical change due to the pulse of a subject, sensing heart sound data due to the pulse, and storing the electrocardiogram data in a memory, The electrocardiogram data is transmitted to an external electronic device, and when a storage control signal is received from the external electronic device, the heart sound data in the abnormal signal section is stored in the memory of the electronic device in association with the storage control signal. and a processor.

A biosignal measuring method according to an embodiment of the present invention comprises the steps of sensing electrocardiogram data indicating an electrical change due to a pulse of a subject, and sensing heart sound data according to the pulse, by a biosignal measuring device; storing the electrocardiogram data in a memory; analyzing the electrocardiogram data by the biosignal measuring device to determine whether an abnormal signal occurs in the electrocardiogram data; and is detected that an abnormal signal is generated in the electrocardiogram data, generating a storage control signal for the heart sound data in the abnormal signal interval; storing heart sound data for intervals in the memory.

In addition, the biosignal measurement method according to the embodiment of the present invention includes the step of transmitting the heart sound data of the abnormal signal interval and the electrocardiogram data to an external electronic device and storing the data by the biosignal measurement device. It may contain further.

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

The step of determining includes sampling the electrocardiogram data of the abnormal signal interval at a first sampling rate, sampling the heart sound data at a second sampling rate, storing the heart sound data in the memory, and then sampling the heart sound data in the memory. tagging corresponding points of the electrocardiogram data and the heart sound data of the interval with time mark information, mutually interpolating the electrocardiogram data, and using the heart sound data to determine the validity of the abnormal signal interval of the electrocardiogram data; may further include

the determining step uses first timemark information included in the electrocardiogram data at the first sampling rate and second timemark information included in the heart sound data at the second sampling rate; The electrocardiogram data and the heart sound data can be precisely synchronized.

After storing the heart sound data in the memory, the method may further include complementing the electrocardiogram data and using the heart sound data to determine validity of the abnormal signal interval.

A computer program according to embodiments of the invention is also stored on a medium for utilizing a computer to perform any one of the methods according to embodiments of the invention.

In addition, other methods and systems for embodying the present invention, and computer readable recording media for recording computer programs for executing the methods are further provided.

Other aspects, features, and advantages in addition to those set forth above will become apparent from the following drawings, claims, and detailed description of the invention.

According to the present embodiment, although electrocardiogram data and heart sound data are simultaneously sensed, the storage time point of the heart sound data can be made to correspond to the abnormal signal section of the electrocardiogram data, so that the storage capacity of the heart sound data can be reduced and the heart sound data can be transmitted. can also reduce communication resources for

In addition, electrocardiogram data and heart sound data can be used in a mutually complementary manner to improve the validity of abnormal signal intervals occurring in the heart.

1 is a block diagram of a biological signal measuring device according to an embodiment of the present invention; FIG. 3 is a block diagram showing data transmission and reception between a sensing device and a processing device; FIG. FIG. 4 is a block diagram of the analysis section of the processing device; 4 is a flow chart of a biosignal measurement method according to an embodiment of the present invention; 4 is a diagram illustrating data transmission/reception between a biosignal measuring device and a user terminal; 4 is a flow chart of a biosignal measurement method according to an embodiment of the present invention; FIG. 4 is a drawing for explaining the interrelationship between heart sound data and electrocardiogram data; FIG. FIG. 10 is a drawing for explaining an acquisition time interval of heart sound data; FIG.

Phrases such as "include" or "may include," as used in various embodiments of the disclosure, indicate the presence of the subject disclosed feature, act, or component, etc., but may also include an additional It does not limit the above functions, operations or components. Also, in various embodiments of the present disclosure, terms such as "including" or "having" are used to indicate that the features, numbers, steps, acts, components, parts, or combinations thereof described in the specification are present. and does not a priori exclude the possibility of the presence or addition of one or more other features, numbers, steps, acts, components, parts, or combinations thereof. There must be.

In various embodiments of the present disclosure, the phrase "or" includes 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.

References such as “first,” “second,” “first,” or “second” used in various embodiments of the present disclosure can modify various components of various embodiments. but does not limit the components. For example, the above expressions do not limit the order and/or importance of such components. The terminology may be used to distinguish one component from another component. For example, the first user equipment and the second user equipment are both user equipment and represent different user equipment. For example, a first component may also be named a second component, and analogously, a second component may also be named a first component, without departing from the scope of various embodiments of this disclosure. .

When a component is referred to as being "coupled" or "connected" to another component, it means that the component is directly coupled or connected to the other component. However, it must be understood that new other components may exist between the one component and the other component. On the other hand, when a component is referred to as being “directly coupled” or “directly connected” to another component, there is no new It must be understood that no other components are present.

In the embodiments of the present disclosure, terms such as "module," "unit," and "part" are terms intended to refer to components that perform at least one function or operation, such Components may be implemented in hardware or software, or by a combination of hardware and software. In addition, a plurality of 'modules', 'units', 'parts', etc. are integrated into at least one module or chip, except when they need to be implemented in individual specific hardware. , is also embodied in at least one processor.

Terms used in various embodiments of the present disclosure are merely used to describe particular embodiments and are not intended to limit the various embodiments of the present disclosure. Singular expressions include plural expressions unless the context clearly dictates otherwise.

Unless otherwise specifically defined, all terms, including technical and scientific terms, used herein are commonly understood by those skilled in the art in the art to which various embodiments of this disclosure belong. have the same meaning as commonly understood.

Commonly used terms such as pre-defined should be construed to have a meaning consistent with the meaning they have in the context of the relevant art, and in various embodiments of this disclosure expressly defined should not be construed in an idealized or overly formal sense unless

Various embodiments of the present invention are specifically described below with reference to the accompanying drawings.

As used herein, biological signals are data such as body temperature, pulse, electrocardiogram, electroencephalogram, respiratory rate, step count, stress, hormones, amount of exercise, calories consumed, body fat, body water content, blood sugar level, blood pressure, etc. Say a signal containing

FIG. 1 is a block diagram of a biological signal measuring device 100 according to an embodiment of the invention.

The biological signal measurement apparatus 100 includes a processing device 110, a sensing device 120, a communication device 130, and a memory 140 in order to complementarily use electrocardiogram data and heart sound data and analyze abnormal signals contained in the electrocardiogram data. It's okay.

The biomedical signal measurement device 100 is also a device that measures biomedical signals of humans, animals, and the like. The biomedical signal measurement apparatus 100 is noninvasively or invasively attached to an object, and can measure an electrocardiogram based on the heartbeat of the object. The biomedical signal measuring apparatus 100 may be attached to the skin or body of a subject, but is not limited thereto and may be implemented in various ways. Here, the object can be a human or an animal, or a body part of a human or an animal, such as the chest thereof, but is not limited thereto, and can be used to sense or measure an electrocardiogram. If it is a product, then all of them are considered objects. In addition, an electrocardiogram is a graphical recording of changes in potential on the surface of the body due to the mechanical activity of heart beats, such as the contraction/dilation of the heart muscle. is the same as "sensing the potential" generated on the body surface by the heartbeat of the heart.

The processing device 110 is electrically connected to the sensing device 120, the communication device 130, and the memory 140, and can process biosignals of the object. The processing device 110 may receive electrocardiogram data and heart sound data sensed by the sensing device 120, mutually utilize the electrocardiogram data and the heart sound data, and analyze the electrocardiogram data. The processor 110 can detect abnormal signal segments in the electrocardiogram data based on the heart sound data. The processor 110 can analyze the electrocardiogram data and detect information regarding abnormal signal intervals. Processing unit 110 may utilize heart sound data corresponding to the abnormal signal interval to determine the validity of the abnormal signal interval. Processing unit 110 may include detailed components as illustrated in FIG.

The sensing device 120 may be invasively or non-invasively attached to the body of a subject to sense electrocardiogram data and/or heart sound data of the subject. Sensing device 120 may integrally or separately include means for sensing electrocardiogram data and/or means for sensing heart sound data. Sensing device 120 can measure electrocardiogram data with one or more electrodes. The sensing device 120 may use electrodes electrically connected to receive electrocardiogram measurement data of one or more channels. Optionally, the sensing device 120 is also embodied to transmit the sensed electrocardiogram data and heart sound data via one or more communication lines. The sensing device 120 divides time according to the type of data to be transmitted, sets intervals for each data, and transmits each data to an external device during the time interval allocated for each data. .

The communication device 130 is a device for transmitting and receiving data to and from devices such as servers and other electronic devices via a communication network. The communication device 130 is a device for transmitting and receiving data via a wireless network, a wired network, or the like.

The communication device 130 can process and transmit/receive electrocardiogram data or heart sound data in different manners according to control signals of the processing device 110 . The electrocardiogram data and/or the heart sound data are also stored in internal memory or transmitted to an external electronic device. The electrocardiogram data and/or the heart sound data may be processed utilizing stored control signals from processor 110 . The electrocardiogram data and/or the heart sound data can utilize the storage control signal to store a portion of the data in memory or in an external electronic device.

The heart sound data sensed by the sensing device 120 is also processed so that only the portion corresponding to the abnormal signal section selected in the storage control signal is transmitted to the external electronic device.

The memory 140 may store biosignals including electrocardiogram data and/or heart sound data sensed by the sensing device 120 . Memory 140 may store programs for processing and controlling processor 110 . The memory 140 can 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, cardiac status information of the subject, and the like. The electrocardiogram data and/or the heart sound data are also stored in internal memory 140 . The electrocardiogram data and/or the heart sound data may be processed so that only the portion corresponding to the abnormal signal section selected in the storage control signal is stored in the internal memory 140, but is limited to this. is not. Here, the storage control signal is used to determine one or more ways to process the measurement data, determine whether the measurement data should be stored, and determine the storage location of the measurement data.

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 in separate devices. In such cases, the processing device 110 and the sensing device 120 are also electrically coupled or coupled to a communication network.

FIG. 2 is a block diagram illustrating operations of the processing device 110 and the sensing device 120. As shown in FIG.

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 signal. The heart sound acquisition unit 121 may be embodied by including a heart sound microphone for acquiring heart sounds and AD conversion means for converting heart sound signals into heart sound data. The heart sound acquisition unit 121 may further include amplification means for amplifying the heart sound signal.

The biosignal acquisition unit 122 can acquire an electrocardiogram signal, which is an electrical change due to heartbeat obtained from the electrodes. The biological signal acquisition unit 122 may include measurement electrodes that acquire electrocardiogram signals, and AD conversion means that converts the electrocardiogram signals measured by the measurement electrodes into electrocardiogram data. The biomedical signal acquisition unit 122 may further include amplification means for amplifying the electrocardiogram signal.

The heart sound data from the heart sound acquisition unit 121 and/or the electrocardiogram data from the biosignal acquisition unit 122 may be transmitted to the processing device 110 and processed. The abnormal signal interval detection unit 111 can analyze electrocardiogram data and detect abnormal signal intervals.

The abnormal signal interval detection unit 111 can analyze the electrocardiogram data and detect abnormal signal intervals from the electrocardiogram data based on the slope value, peak value, or RR interval value. The abnormal signal section detection unit 111 can detect the R peak candidate group based on the average value of the gradient value and peak value of the electrocardiogram data. The abnormal signal section detection unit 111 can detect an abnormal signal section in the R peak candidate group based on the average peak value, the average gradient value, or the RR interval value. The abnormal signal section detection unit 111 is not limited to the above-described embodiment, and detects an abnormal signal section based on the voltage value of the electrocardiogram data, the morphological pattern, and the gradient value of the voltage value in time series. be able to. Here, the pattern may include a morphological pattern in the time-series arrangement of electrocardiogram data, a pattern between time values where a peak occurs, a pattern between time values where an inflection point occurs, and the like. Here, the slope value is also the slope value of a graph showing two-dimensional data of electrocardiogram data and voltage values. Here, the abnormal signal section may include, but is not limited to, a time section including specific signals such as ventricular fibrillation, atrial fibrillation, and arrhythmia.

The heart sound data control unit 112 can control the storage of the heart sound data corresponding to the abnormal signal section in association with the storage control signal. The heart sound data is stored in an internal memory or also in an external electronic device, corresponding to a storage control signal. The save control signal may be received from an external electronic device or may also be generated by user input. The storage control signal may include information related to the abnormal signal section. The heart sound data control unit 112 can store the signal data corresponding to the abnormal signal section determined by the storage control signal in an internal memory or an external electronic device. The heart sound data control unit 112 stores the signal data determined by the first storage control signal in a predetermined memory when the first storage control signal is received, and stores the signal data when the second storage control signal is received. , the signal data defined by the second storage control signal can be stored in a defined memory. The stored control signal includes a time value and is also used for signal data processing corresponding to the time value. The storage control signal includes a voltage value and is also used for signal data processing corresponding to the voltage value. The stored control signal includes code values corresponding to atrial fibrillation, arrhythmia, etc., and is also used for signal data processing corresponding to the code values.

If the storage control signal is not received, all of the measured signal data is stored in an internal memory, and if the storage control signal is received, the signal data corresponding to the storage control signal is stored in an internal memory. Also stored in memory. The signal data corresponding to the storage control signal is also stored in the external electronic device when the storage control signal is received.

The complementary analyzing unit 113 can mutually complement the heart sound data stored according to the storage control signal, and determine the validity of the abnormal signal section of the electrocardiogram signal. The abnormal signal section is also detected by the abnormal signal section detector 111 .

If the abnormal signal interval detected by the abnormal signal interval detector 111 matches the abnormal signal in the heart sound data, the mutual complement analysis unit 113 determines that the abnormal signal interval is valid.

If the abnormal signal section does not match the abnormal signal section in the heart sound data, that is, if the abnormal signal section is a normal signal section in the heart sound data, the mutual complement analysis unit 113 detects the abnormal signal section. It can be determined that the abnormal signal section detected by the unit 111 is not valid. Accordingly, it can be determined that there was an error in the measurement of the electrocardiogram data. For example, it is determined that the biomedical signal acquisition unit 122 is not directly attached to the skin of the subject and is separated during an inappropriate abnormal signal interval. The biological signal acquisition unit 122 can determine that the electrocardiogram data contains noise, considering the validity of the abnormal signal interval. Inappropriate abnormal signal intervals may also be caused by noise contained in the electrocardiogram data, but are not limited to this.

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 below with reference to FIG.

The synchronizer 1131 can synchronize the electrocardiogram data and the heart sound data by using the electrocardiogram data and the heart sound data in a mutually complementary manner. The synchronizer 1131 may synchronize the electrocardiogram data and the heart sound data based on the time values included in the electrocardiogram data and the heart sound data. The synchronizer 1131 can synchronize the electrocardiogram data and the heart sound data around the abnormal signal interval.

The synchronizing unit 1131 synchronizes the electrocardiogram data and the heart sound data by associating the abnormal signal interval with the heart sound data point determined in consideration of the heartbeat period determined at the electrocardiogram data point. can be done. At this time, the points of the electrocardiogram data also correspond to the points of the heart sound data determined in consideration of the heart beat cycle. As such, electrocardiogram data and heart sound data can be synchronized.

In an optional embodiment, the points of electrocardiogram data and corresponding points of heart sound data are then also tagged with time mark information associated with each other. The synchronizer 1131 may tag corresponding points of the synchronized electrocardiogram data and heart sound data with time mark information associated with each other. In another embodiment, the synchronizer 1131 can tag the electrocardiogram data and/or the heart sound data with timemark information. Here, the time mark information may be a recorded time value recorded by the sensing device 120, a received time value received by the processing device 110, and the like. The timemark information is also a time value or a time value within a time interval. Time values also correspond to determined points within the cardiac cycle and are tagged for electrocardiogram data and/or heart sound data. For example, time mark information relating to a peak point, a P wave point, a Q wave point, a start point of a cardiac cycle, etc. in a cardiac cycle can be tagged to electrocardiogram data and heart sound data. In the heart beat interval, the information about the peak point, P-wave point, Q-wave point and start time of the heart beat cycle is also converted into time mark information. The synchronizer 1131 may sample electrocardiogram data at a first sampling rate and sample heart sound data at a second sampling rate. The synchronization unit 1131 may tag corresponding points of the electrocardiogram data and the heart sound data with time mark information, and then synchronize the electrocardiogram data and the heart sound data using the time mark information. The synchronizer 1131 synchronizes the electrocardiogram data and the heart sounds by 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. Data can be synchronized. At this time, the first timemark information also includes information corresponding to the second timemark information.

The synchronizer 1131 can synchronize the occurrence time of the 1-1 point of the electrocardiogram data and/or the occurrence time of the 1-2 point of the heart sound data. The 1-1 point and the 1-2 point may also be corresponding points in the heartbeat interval of the subject. The synchronizer 1131 can synchronize electrocardiogram data and/or heart sound data using the marked time value.

In an alternative embodiment, the synchronizer 1131 may further remove noise from the heart sound data prior to synchronization. The process of denoising the heart sound data may use, but is not limited to, denoising algorithms for sounds commonly used in the art.

In an alternative embodiment, the synchronizer 1131 can time division multiplex the electrocardiogram data and heart sound data prior to synchronization. In the time division 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 synchronizer 1131 may synchronize the electrocardiogram data and heart sound data processed in the above process.

After synchronizing the electrocardiogram data and the heart sound data, the synchronizer 1131 can 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 can also be determined using heart sound data within a certain time interval from the point where the R peak occurs. The heart sound data may include sounds corresponding to R peaks.

The noise extractor 1132 may complementarily consider electrocardiogram data and/or heart sound data to detect noise included in the electrocardiogram data. The noise extractor 1132 may use heart sound data in a complementary manner to the electrocardiogram data to extract noise included in the electrocardiogram data. Here, the electrocardiogram data includes various forms of noise such as motion noise and muscle noise due to signal characteristics.

More specifically, the noise extraction unit 1132 detects noise in the electrocardiogram data based on the interrelationship between the change pattern of the electrical components (voltage, current, etc.) of the electrocardiogram data and the frequency characteristics of the heart sound data. be able to. The noise extractor 1132 can detect noise in the heart sound data using electrocardiogram data. The noise extraction unit 1132 can detect signals and signal sections that have a low correlation with heart sound data in the electrocardiogram data, and detect the signals and the signal sections as noise. For example, in the electrocardiogram data, the 1-1 point having the relatively highest voltage value is detected as an irrelevant value at the 1-2 point in the heart sound data corresponding to the 1-1 point. In this case, the electrocardiogram data at the 1-1 point is also detected as noise if it is a signal having a low correlation with the heart sound data. The noise extraction unit 1132 can detect the positional information of the noise, based on the interrelationship between the electrocardiogram data and the heart sound data.

The noise extraction unit 1132 can determine the magnitude of noise included in the electrocardiogram data by comparing the waveform of the electrocardiogram data at the corresponding point in the previous cycle based on the noise occurrence point information. Here, the magnitude of the noise is also calculated as a data value difference value of the electrocardiogram data by comparing the electrocardiogram data measured in the previous cycle and the electrocardiogram data in the noise section with reference to the corresponding point. Here, the difference value is also a difference value between voltage values of electrocardiogram data.

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

The state analyzer 1133 may generate cardiac state information of the target based on the electrocardiogram data and/or heart sound data processed through the synchronizer 1131 and the noise extractor 1132 . The cardiac status information may include information corresponding to electrocardiogram data such as heart rate, R peak value, RR interval, P wave point, disease information derived from the morphology and values of electrocardiogram data, and the like.

The marking unit 1134 can mark the electrocardiogram data or the heart sound data with tags corresponding to the heart condition information generated through the condition analysis unit 1133 .

FIG. 4 is a flow chart of a biosignal measurement method according to an embodiment of the present invention.

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

In S120, the biomedical signal measurement apparatus 100 can analyze the electrocardiogram data and determine whether an abnormal signal is generated in the electrocardiogram data.

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

Although the biomedical signal measuring apparatus 100 stores electrocardiogram data in the memory, only heart sound data corresponding to the abnormal signal interval can be stored in the memory.

The biological signal measurement apparatus 100 transmits electrocardiogram data to an external electronic device, but can transmit only heart sound data corresponding to an abnormal signal interval to an external electronic device.

FIG. 5 is a diagram illustrating data transmission/reception between the biological signal measuring apparatus 100 and the user terminal 200 according to an embodiment of the present invention. Due to communication bandwidth limitations, it is generally necessary to transmit and receive heart sound data corresponding to abnormal signal intervals. The received heart sound data is also used in the user terminal 200 for reprocessing and reconfirming whether there is an abnormality.

In another embodiment, the biomedical signal measurement apparatus 100 may transmit the entire electrocardiogram data interval to the user terminal 200 and transmit the abnormal signal interval of the heart sound data to the user terminal 200 .

At this time, the data corresponding to the abnormal signal section of the heart sound data is also determined by the storage control signal generated by the user terminal 200 . The biomedical signal measuring apparatus 100 can store the heart sound data of the abnormal signal period in the internal memory and transmit the heart sound data of the abnormal signal period to the user terminal 200 in response to the storage control signal. Through it, communication resources for the transmission of heart sound data can be reduced.

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

At S220, the biosignal measurement device 100 can store the electrocardiogram data in memory and periodically transmit the electrocardiogram data to an external electronic device. The external electronic device can then detect the abnormal signal.

In S230, the biological signal measuring apparatus 100 detects whether or not a storage control signal is received from an external electronic device, responds to the received storage control signal, and stores the heart sound data of the abnormal signal section in memory. can be saved to

In S240, the biological signal measurement device 100 can transmit the electrocardiogram data and heart sound data of the abnormal signal section to an external electronic device.

Heart sound data (SD) related to P, Q, R, S, and T on the heart beat cycle (interval 1) in the electrocardiogram data (ED) indicating electrical changes due to the pulse exists as shown in FIG. will do.

The abnormal signal interval detection unit 111 of the biological signal measurement device 100 analyzes the electrocardiogram data (ED) based on the time interval (RR time interval (interval 1)), and detects the waveform, gradient value, and peak value of the electrocardiogram data for each interval. Abnormal signal sections of the electrocardiogram data can be detected based on the above. The time interval of electrocardiogram data is also determined by specific waves (P1, P2) included in the electrocardiogram data.

If an abnormal signal is also detected in the heart sound data in the abnormal signal interval, the abnormal signal interval detected through the electrocardiogram data is also determined to be valid.

In the heart sound data in the abnormal signal interval, unless an abnormal signal is detected, the electrocardiogram data in the abnormal signal interval is detached from the sensing means, or various noises during electrocardiogram measurement, For example, it may be determined that the sensor is erroneously sensed due to muscle noise, movement of the target object, or the like.

For example, when point P2 is determined to be an abnormal signal section, the biological signal measuring apparatus 100 generates a storage control signal and stores heart sound data (ATC) corresponding to the abnormal signal section in the measured heart sound data. and processed to transmit the heart sound data (ATC) to an external electronic device. The biomedical signal measurement apparatus 100 can use the electrocardiogram data and the heart sound data in a complementary manner to determine the validity of the abnormal signal section.

In other embodiments, the save control signal is received even though it originates in an external electronic device. In such cases, the function of detecting abnormal signal intervals can be performed by an external electronic device. External electronics can utilize the received heart sound data of the abnormal signal interval to determine the validity of the abnormal signal interval.

As shown in FIG. 8, the biosignal measuring apparatus 100 according to an embodiment of the present invention is implemented to obtain heart sound data only in a specific time interval.

The biomedical signal measurement apparatus 100 can acquire only specific time intervals (WP1, WP2) in order to complementarily use the heart sound data in extracting specific waves from the electrocardiogram data. Here, the specific wave is also defined as an abnormal signal and can refer to a point that occurs periodically. A control signal related to the heart sound acquisition cycle is transmitted to the heart sound acquisition unit 121 of the biological signal measurement device 100, and the heart sound acquisition unit 121 acquires the heart sound signal only in a specific time interval in the heart sound acquisition cycle according to the control signal. can. The specific time interval during which the heart sound signal is acquired is also determined through electrocardiogram data acquired through the biosignal acquisition unit 122 . The specific time interval in which the heart sound signal is acquired is also determined based on the occurrence time of the specific waveform in the electrocardiogram data, the abnormal signal interval, and the point where the abnormal signal occurs.

The apparatus described above may also be embodied by hardware components, software components, and/or combinations of hardware and software components. For example, the devices and components described in this embodiment may be, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors, microcomputers, FPGAs, programmable logic units (PLUs), microprocessors, or instructions ( Like any other device capable of executing and responding to instructions, it may also be embodied using one or more general purpose or special purpose computers. The processing device is capable of running an operating system and one or more software applications running on the operating system. The processor may also access, store, manipulate, process and generate data in response to execution of software. For convenience of understanding, the processor is also described as being used singly, but those skilled in the art will understand that the processor may include multiple processing elements. ), and/or may include multiple types of processing elements. For example, the processing unit may include multiple processors, or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include computer programs, code, instructions, or a combination of one or more thereof, to configure a processing device to operate as desired, or to program a processing device independently or collectively. You can give orders. Software and/or data may be any type of machine, component, physical device, virtual equipment, to be interpreted by or to provide instructions or data to a processing device. It may also be embodied, permanently or temporarily, in a computer storage medium or device, or in a transmitted signal wave. The software may also be distributed over network coupled computer systems so that it is stored and executed in a distributed fashion. The software and the data are also stored on one or more computer readable media.

The method according to the present invention can be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable media may include program instructions, data files, data structures, etc., singly or in combination. The program instructions recorded on the medium may be specially designed and constructed for this embodiment, or they may be known and available to those skilled in the art of computer software. Examples of computer readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes; optical recording media such as compact disc read only memory (CD-ROM) and digital versatile disc (DVD); optical media; magneto-optical media such as floppy disks; and ROM, RAM, flash memory, etc. specially designed to store and execute program instructions A configured hardware device is included. Examples of such program instructions include not only machine language code, such as produced by a compiler, but also high-level language code that may be executed by a computer using an interpreter or the like. The hardware devices described above may also be configured to act as one or more software modules, and vice versa, to perform the operations of the present embodiments.

As described above, even though the present embodiment has been described with limited embodiments and drawings, various modifications and variations can be made from the foregoing description by those skilled in the art. Will. For example, the techniques described may be performed in a different order than in the manner described and/or components such as systems, structures, devices, circuits, etc. described may be combined or combined in forms different from the manner described. may be replaced, or substituted or replaced by other elements or equivalents, while still achieving appropriate results.

Therefore, other implementations, other embodiments, and equivalents of the claims are intended to be covered by the claims.

100 biological signal measuring device 110 processing device 120 sensing device 130 communication device 140 memory

Claims (15)

a sensing device for sensing electrocardiogram data indicating an electrical change due to the pulse of a subject and sensing heart sound data due to the pulse;
storing the electrocardiogram data in a memory, analyzing the electrocardiogram data, determining whether an abnormal signal occurs in the electrocardiogram data, and if an abnormal signal is detected in the electrocardiogram data, a processor that generates a storage control signal for heart sound data in an abnormal signal interval, responds to the storage control signal, and stores the heart sound data in the abnormal signal interval in the memory. A biomedical signal measuring device for detecting an abnormal signal section of electrocardiogram data. The processing device is
The heart sound data of the abnormal signal interval is transmitted to and stored in an external electronic device together with the electrocardiogram data, and the abnormal signal interval of the electrocardiogram data is detected using the heart sound data related to the electrocardiogram data. 2. The biological signal measuring device according to 1. The processing device is
2. The biological signal measuring apparatus according to claim 1, wherein the electrocardiogram data and heart sound data of the abnormal signal section stored in the memory are time-division multiplexed. The processing device is
sampling the electrocardiogram data of the abnormal signal interval at a first sampling rate and sampling the heart sound data at a second sampling rate;
tagging time mark information to corresponding points of the electrocardiogram data and the heart sound data in the abnormal signal section;
2. The biological signal measuring device according to claim 1, wherein said second sampling rate is different from a third sampling rate for sampling heart sound data in a normal signal interval. 5. The biological signal measuring device according to claim 4, wherein said third sampling rate is slower than said second sampling rate. The biological signal measuring device according to claim 1, wherein the electrocardiogram data and the heart sound data are reprocessed. 7. The biosignal measurement device of claim 6, wherein the electrocardiogram data and the heart sound data are stored for further analysis. 7. The biosignal measurement device of claim 6, wherein only the electrocardiogram data is saved if the abnormal signal is further confirmed. a sensing device for sensing electrocardiogram data indicating an electrical change due to the pulse of a subject and sensing heart sound data due to the pulse;
storing the electrocardiogram data in a memory; transmitting the electrocardiogram data to an external electronic device; receiving a storage control signal from the external electronic device; , a processor for storing in a memory of the electronic device. sensing electrocardiogram data indicating an electrical change due to the pulse of the subject, and sensing heart sound data according to the pulse;
storing the electrocardiogram data in a memory by the biosignal measuring device;
analyzing the electrocardiogram data by the biomedical signal measurement device to determine whether an abnormal signal occurs in the electrocardiogram data;
generating a save control signal for heart sound data in an abnormal signal interval when the biomedical signal measuring device detects that an abnormal signal is generated in the electrocardiogram data;
and a step of storing the heart sound data of the abnormal signal interval in the memory, in response to the storage control signal, by the biosignal measurement device. 11. The method of claim 10, further comprising transmitting the heart sound data of the abnormal signal interval and the electrocardiogram data to an external electronic device for storage. The determining step includes:
11. The method of claim 10, further comprising time-division multiplexing the electrocardiogram data and heart sound data of the abnormal signal interval stored in the memory. The determining step includes:
sampling the electrocardiogram data of the abnormal signal interval at a first sampling rate, sampling the heart sound data of the abnormal signal interval at a second sampling rate;
After storing the heart sound data in the memory,
tagging time mark information to corresponding points of the electrocardiogram data and the heart sound data in the abnormal signal section;
11. The biological signal measurement method according to claim 10, wherein the second sampling rate is different from a third sampling rate for sampling heart sound data in normal signal intervals. 14. The biological signal measurement method according to claim 13, wherein said third sampling rate is slower than said second sampling rate. 12. The biosignal measurement method of claim 11, wherein the external electronic device further processes with the electrocardiogram data and the heart sound data.

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