WO2021120737A1

WO2021120737A1 - St detection method and apparatus, computer device, and storage medium

Info

Publication number: WO2021120737A1
Application number: PCT/CN2020/116101
Authority: WO
Inventors: 李广勋; 邹继杰; 洪洁新; 于小林
Original assignee: 深圳市邦健科技有限公司; 深圳邦健生物医疗设备股份有限公司
Priority date: 2019-12-16
Filing date: 2020-09-18
Publication date: 2021-06-24
Also published as: CN110881972A

Abstract

The present application relates to an ST detection method. The method comprises: obtaining data of target QRS waves, and analyzing the data of each target QRS wave to obtain a starting point position and an ending point position of the target QRS wave; calculating a target ST measurement value according to the starting point position and the end point position; obtaining a target ST trend chart according to each calculated target ST measurement value; and detecting, according to the target ST trend chart, whether ST is abnormal. By determining a starting point position and an ending point position of each target QRS wave, calculating a target ST measurement value, obtaining a target ST trend chart according to each target ST measurement value, and determining, by means of the target ST trend chart, whether ST is abnormal, the problem that ST segment detection is affected by cardiac activity form change can be solved, and then the detection result is more accurate. In addition, also provided are an ST detection apparatus, a computer device, and a storage medium.

Description

ST detection method, device, computer equipment and storage medium

Technical field

The present invention relates to the field of medical detection, in particular to an ST detection method, device, computer equipment and storage medium.

Background technique

The Holter analysis system uses a portable recorder to continuously collect the ECG data information of the human body in the natural state for 24 hours or more, and process, analyze, replay and print it through computer software to assist the doctor in the ECG analysis. Data information is analyzed. In the dynamic ECG analysis system, ST segment analysis is of great significance for clinical detection of myocardial infarction, myocardial ischemia, pre-excitation syndrome and other diseases.

technical problem

In the existing Holter analysis software ST event analysis, doctors need to manually set the reference points, including baseline points, J points, and ST measurement points. However, for more than 100,000 heartbeats in 24 hours, the doctor can only determine the baseline point of the current heartbeat from one of the heartbeats; due to the diversity of heartbeat shapes, the set baseline point may not be suitable for a 24-hour heartbeat. Strikes, it will cause ST to misdetect; and when the signal has interference, the impact on ST will be greater, so that it is impossible to accurately detect whether ST is abnormal.

Technical solutions

Based on this, the embodiment of the present invention proposes an ST detection method, device, computer equipment, and storage medium that can solve the problem of ST-segment detection due to changes in the heartbeat shape, thereby making the detection result more accurate.

An ST detection method, the method includes:

Acquire data of the target QRS wave, analyze the data of the target QRS wave to obtain the start position and the end position of the target QRS wave;

Calculating a target ST measurement value according to the start position and the end position;

Obtaining a target ST trend graph according to each of the target ST measurement values obtained by calculation;

Detect whether the ST is abnormal according to the target ST trend graph.

In one of the embodiments, the calculating the target ST measurement value according to the starting point position and the ending point position includes: obtaining a preset distance; and calculating the first measured value according to the starting point position and the preset distance. An ST measurement point; a second ST measurement point is calculated according to the end position and the preset distance; a target ST measurement value is calculated according to the first ST measurement point and the second ST measurement point.

In one of the embodiments, the calculation to obtain the first ST measurement point and the calculation to obtain the second ST measurement point includes: calculating the difference between the starting point position and the preset distance to obtain the first ST measurement Point; Calculate the sum between the end position and the preset distance to obtain a second ST measurement point.

In one of the embodiments, the calculating the target ST measurement value according to the first ST measurement point and the second ST measurement point includes: obtaining a first amplitude corresponding to the first ST measurement point, and obtaining the first ST measurement point; Two second amplitudes corresponding to ST measurement points; calculating the amplitude difference between the first amplitude and the second amplitude, and using the amplitude difference as the target ST measurement value.

In one of the embodiments, the obtaining a target ST trend graph according to each of the target ST measurement values obtained by calculation includes: obtaining a target time point corresponding to each target ST measurement value; and according to the target time point , Sorting each of the target ST measurement values in chronological order, and obtaining a target ST trend graph according to the sorting result.

In one of the embodiments, the detecting whether the ST is abnormal according to the target ST trend graph includes: obtaining the offset potential of the ST to be detected in the target ST graph, and obtaining the threshold value of the offset potential; The threshold of the offset potential determines whether the offset potential of the ST to be detected meets the requirements of the threshold; when the offset potential meets the requirements of the threshold, it is determined that the ST to be detected is normal; when the offset When the potential shift does not meet the requirements of the threshold, it is determined that the ST to be detected is abnormal.

In one of the embodiments, before acquiring the data of the target QRS wave, the method further includes: acquiring the electrocardiogram data corresponding to the target QRS wave; acquiring the position information of each target QRS wave in the electrocardiogram data; analyzing The location information obtains the target QRS wave data corresponding to each target QRS wave.

In the second aspect, an embodiment of the present invention provides an ST detection device, which includes:

The acquisition module is used to acquire the data of the target QRS wave, and analyze the data of the target QRS wave to obtain the start position and the end position of the target QRS wave;

A calculation module, configured to calculate a target ST measurement value according to the start position and the end position;

An analysis module, configured to obtain a target ST trend graph according to each of the target ST measurement values obtained by calculation;

The detection module is used to detect whether the ST is abnormal according to the target ST trend graph.

In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the following steps:

Detect whether the ST is abnormal according to the target ST trend graph.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the following steps:

Detect whether the ST is abnormal according to the target ST trend graph.

Beneficial effect

Implementing the embodiments of this application will have the following beneficial effects:

The above-mentioned ST detection method, device, computer equipment and storage medium acquire the data of the target QRS wave, analyze the data of the target QRS wave to obtain the start position and the end position of the target QRS wave, and then obtain the start position and the end position of the target QRS wave according to the start position and the end point. The position calculation obtains the target ST measurement value, the target ST trend graph is obtained according to each of the target ST measurement values obtained by calculation, and finally, whether the ST is abnormal is detected according to the target ST trend graph. Through the starting position and ending position of the target QRS wave, the target ST measurement value is calculated, and the ST trend graph is obtained according to the ST measurement value of each target. The ST trend graph is used to detect whether the ST is abnormal, which can solve the influence of the heartbeat pattern change on the ST segment The problem of detection, which can make the detection result more accurate.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

among them:

Figure 1 is a flowchart of an ST detection method in an embodiment;

FIG. 2 is a flowchart of calculating a target ST measurement value in an embodiment;

Figure 3 is a schematic diagram of a first ST measurement point and a second ST measurement point in an embodiment;

4 is a flowchart of calculating the first ST measurement point and the second ST measurement point in an embodiment;

FIG. 5 is a flowchart of calculating a target ST measurement value in another embodiment;

FIG. 6 is a flow chart of obtaining a target ST trend chart according to each target ST measurement in an embodiment;

FIG. 7 is a flowchart of detecting whether ST is abnormal in an embodiment;

FIG. 8 is a flowchart of acquiring target QRS wave data in an embodiment;

Figure 9 is a structural block diagram of an ST detection device in an embodiment;

Fig. 10 is a structural block diagram of a computer device in an embodiment.

Embodiments of the present invention

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

As shown in FIG. 1, an ST detection method is proposed, and the ST detection method can be applied to a terminal. This embodiment is applied to a terminal as an example. The ST detection method specifically includes the following steps:

Step 102: Obtain target QRS wave data, and analyze the target QRS wave data to obtain the start position and end position of the target QRS wave.

Among them, the data of the target QRS wave refers to the data of the QRS wave that needs to be analyzed, including: the location information of the target QRS wave. QRS complex (or QRS complex) refers to the complex with the largest amplitude in a normal ECG, reflecting the entire process of ventricular depolarization. The QRS complex time is 0.06~0.10s for normal adults, 0.04~0.08s for infants and young children, and gradually approaches adults with age. QRS complex time is prolonged, seen in ventricular hypertrophy, ventricular block and pre-excitation syndrome. The start position refers to the time position where the target QRS wave appears in the 24-hour ECG; the end position refers to the time position where the target QRS wave ends. In a 24-hour ECG, there may be multiple target QRS complexes, and the corresponding position of each target QRS complex is also different, so the data of each target QRS complex can be analyzed to obtain the starting position and end point of each target QRS complex Position, which can determine the corresponding position of each target QRS wave in the 24-hour ECG. In an embodiment, the starting position and the ending position of the target QRS wave can be automatically calculated according to the algorithm, so that the starting position and the ending position of each target QRS wave can be obtained respectively. The start position and end position of each target QRS wave can be used to calculate the target ST measurement value.

Step 104: Calculate the target ST measurement value according to the start position and the end position.

Among them, the target ST measurement value refers to the measurement value obtained when the ST segment corresponding to the target QRS wave is measured, and the target ST measurement value can indicate the change of the ST segment. ST segment (or ST) refers to the ST segment of the electrocardiogram. It is a flat line from the end of the QRS complex to the beginning of the T wave, reflecting that all parts of the ventricle are excited and each part is in a state of depolarization, so there is no potential difference. Since each target QRS wave corresponds to only one ST segment, the relevant parameters of the ST segment corresponding to the target QRS wave can be set according to the start position and end position of each target QRS wave. According to the correlation between the start position, end position and ST segment The parameters are calculated to obtain the target ST measurement value corresponding to the target QRS wave. In an embodiment, the relevant parameter of the ST segment can be set as ST points, and one or more ST points can be set according to requirements. Then, the target ST measurement value corresponding to each ST segment can be calculated according to the start position, end position and ST point, and the calculated target ST measurement value can be used to analyze and obtain the target ST trend graph.

Step 106: Obtain a target ST trend graph according to each of the target ST measured values obtained by calculation.

Among them, the target ST trend graph refers to a trend graph that reflects the 24-hour ST trend. Since the target ST measurement value is the measurement value corresponding to each ST segment, the target ST measurement value can indicate the change of the ST segment, so each target ST measurement value can be analyzed to get the complete ST segment change, that is, 24 hours Trend chart of the ST segment. In an embodiment, calculation and analysis can be performed on each target ST measurement value according to a preset algorithm to obtain the analysis result. According to the analysis results, a 24-hour target ST trend chart can be drawn through the software. The target ST trend graph can be used to detect whether the ST is abnormal.

Step 108: Detect whether the ST is abnormal according to the target ST trend graph.

Among them, detecting whether the ST is abnormal refers to detecting whether the ST meets the requirements. When the ST meets the requirements, it can be determined that the ST is normal; when the ST does not meet the requirements, it can be determined that the ST is abnormal. Since the target ST trend chart can reflect the ST trend within 24 hours, it can be detected whether the ST trend is abnormal by analyzing the target ST trend chart. When it is detected that the ST trend in the target ST trend chart is not abnormal, it can be determined that the ST is normal ; When it is detected that the ST trend in the target ST trend graph is abnormal, it can be determined that the ST is abnormal. In one embodiment, it can be determined whether the ST movement is abnormal by detecting whether the offset potential of the ST in the target ST trend graph is abnormal. When the offset potential is normal, it can be determined that the ST is normal; when the offset potential is abnormal, It can be determined that the ST is abnormal.

The above-mentioned ST detection method, by determining the starting position and ending position of the target QRS wave, and then calculating the target ST measurement value, obtaining the target ST trend graph according to each target ST measurement value, and detecting whether the ST is abnormal through the target ST trend graph. Solve the problem of ST-segment detection due to changes in heartbeat shape, which can make the detection results more accurate.

As shown in FIG. 2, in one embodiment, the calculation of the target ST measurement value according to the start position and the end position includes:

Step 202: Obtain a preset distance.

Among them, the preset distance refers to the preset time distance from the target QRS wave. The preset distance can be set according to the needs of the user, and different preset distances can be obtained corresponding to different needs. In an embodiment, the preset distance may be calculated according to the sampling rate. For example, assuming that the preset distance is X, the sampling rate within 1 second is 256 Hz, and 1 second=1000 milliseconds, then the preset distance X=1/256*1000=3.9ms, and 3.9ms is obtained as the preset distance. The preset distance can be used to calculate the target ST measurement value.

Step 204: According to the starting point position and the preset distance, a first ST measurement point is calculated.

The first ST measurement point refers to the first position point required to calculate the target ST measurement value, and the first ST measurement point is also referred to as the baseline point for detecting ST. Since the first ST measurement point is the starting point and the detection standard point of the ST segment, a certain time position before the starting point of the target QRS wave can be used as the starting point of the ST segment, and the preset distance is preset to the target The time distance between the QRS waves, so the first ST measurement point can be calculated according to the starting point of the target QRS wave and the preset distance. In one embodiment, the time location point corresponding to the preset distance before calculating the starting point position may be used as the starting point for detecting the ST segment. As shown in FIG. 3, assuming that the preset distance is X, the starting point position may be set to point Q. The position point separated by the time distance X from the Q point is the ISO point, so the first ST measurement point may be the ISO point. The ISO point at this time is the time position point before the starting point, and the distance between the ISO point and the Q point is the preset distance X. From this, the ISO point can be obtained as the first ST measurement point, and the first ST measurement point can be Used to calculate the target ST measurement value.

Step 206: According to the end position and the preset distance, a second ST measurement point is calculated.

Among them, the second ST measurement point refers to the second position point required to calculate the target ST measurement value, and the second ST measurement point is also referred to as the ST segment shift measurement point. In one embodiment, a certain time location point after the end point of the target QRS wave may be used as the second ST measurement point. The second ST measurement point is calculated according to the end point position and the preset distance, which may be a time position point corresponding to the preset distance after the target QRS is calculated, to obtain the second ST measurement point. As shown in Fig. 3, assuming that the preset distance is X, the end position can be set to J point, and the position point separated by time from the J point by X is the ST point, so the second ST measurement point can be the ST point. The ST point at this time is the time position point after the end position, and the distance between the ISO point and the Q point is the preset distance X, and the ST point is obtained as the second ST measurement point, which can be calculated according to the second ST Measure points to calculate the target ST measurement value.

Step 208: Calculate the target ST measurement value according to the first ST measurement point and the second ST measurement point.

Among them, the target ST measurement value refers to the ST segment measurement value corresponding to the target QRS wave. Since the target ST measurement value can reflect the trend of the ST segment, and the first ST measurement point and the second ST measurement point are respectively the two position points used to calculate the target ST measurement value, it can be based on the first ST measurement point and the second ST measurement point. Two ST measurement points, calculate the target ST measurement value. In an embodiment, the target ST measurement value may be calculated according to the relevant parameters of the first ST measurement point and the second ST measurement point. For example, assume that the relevant parameters of the first ST measurement point correspond to the first ST measurement point. Amplitude, the related parameter of the second ST measurement point is the amplitude corresponding to the second ST measurement point, the amplitude corresponding to the first ST measurement point and the amplitude corresponding to the second ST measurement point are obtained, and the amplitudes corresponding to the two measurement points can be calculated Get the target ST measurement value. Set the first ST measurement point and the second ST measurement point of the ST segment corresponding to the target QRS wave, and then calculate the target ST measurement value according to the relevant parameters of the first ST measurement point and the second ST measurement point, which can be automatically analyzed Get the correct first ST measurement point and second ST measurement point; then, according to the correct first ST measurement point (ie baseline point) and the second ST measurement point (ie ST segment shift measurement point) related parameters, you can Calculating the correct target ST measurement value can reduce the doctor's operation, accurately obtain the measurement point and measurement value of the ST segment, and improve the detection efficiency.

As shown in FIG. 4, in one embodiment, the calculation to obtain the first ST measurement point and the calculation to obtain the second ST measurement point include:

Step 402: Calculate the difference between the starting point position and the preset distance to obtain a first ST measurement point.

Wherein, the difference between the starting point position and the preset distance refers to the difference obtained by subtracting the preset distance from the time point corresponding to the starting point position. Since the first measurement point is the starting point of the ST segment, in actual operation, the starting point of the ST segment can be set to a certain time position before the starting point of the target QRS wave, so it can be compared with the starting point of the target QRS wave. The time point at which the time interval is the preset distance is used as the baseline point. In an embodiment, the time point at which the distance from the starting point position is the preset distance may be obtained by calculating the difference between the starting point position and the preset distance. As shown in Figure 3, the starting point position can be set to Q point (the Q point position is 74ms), and the preset distance can be set to X (X=39ms); the difference between the starting point position and the preset distance can be calculated to obtain the first ST The measurement point can be calculated as QX=74-39=35ms, and the obtained 35ms time point is the ISO point, and the ISO point can be set as the first ST measurement point, thereby obtaining the first ST measurement point.

Step 404: Calculate the sum between the end position and the preset distance to obtain a second ST measurement point.

Among them, the sum between the end position and the preset distance refers to the value obtained by adding the preset distance to the time point corresponding to the end position. Since the second ST measurement point is the second position point required to calculate the target ST measurement value, in actual operation, the second ST measurement point can be set to a certain time point after the end position of the target QRS wave, so you can The time point at which the time distance from the end point position is the preset distance is taken as the second ST measurement point. In an embodiment, the time point at which the time distance from the end position is the preset distance may be obtained by calculating the sum between the end position and the preset distance. As shown in Figure 3, the end position can be set to point J (the position of point J is 152ms), and the preset distance can be set to X (X=39ms); calculate the sum of the end position and the preset distance to get the second ST The measurement point can be calculated as J+X=153+39=191ms, and the obtained 191ms The time point of is the ST point, and the second ST measurement point can be represented by the ST point, so that the second ST measurement point can be obtained. The first ST measurement point can be obtained by calculating the difference between the starting point position and the preset distance; the second ST measurement point can be obtained by calculating the sum between the end position and the preset distance; the starting point position can be determined by the preset distance , The positional relationship between the end position and the first ST measurement point and the second ST measurement point can accurately obtain the first ST measurement point and the second ST measurement point, which solves the problem that the ST segment detection is affected by the change of the heartbeat shape.

As shown in FIG. 5, in one embodiment, the calculation of the target ST measurement value according to the first ST measurement point and the second ST measurement point includes:

Step 502: Obtain a first amplitude corresponding to the first ST measurement point, and obtain a second amplitude corresponding to the second ST measurement point.

Among them, the first amplitude refers to the amplitude value corresponding to the first ST measurement point, and the second amplitude refers to the amplitude value corresponding to the second ST measurement point. Since in the 24-hour electrocardiogram, different measurement points correspond to different amplitude values, it is necessary to obtain the first amplitude corresponding to the first ST measurement point and the second amplitude corresponding to the second ST measurement point respectively. In one embodiment, the amplitude value corresponding to the first ST measurement point can be 1.0mV, then the first amplitude can be obtained as 1.0mV; the amplitude value corresponding to the second ST measurement point can be 0.5mV, and the second amplitude can be obtained It is 0.5mV. The first amplitude and the second amplitude are obtained, which can be used to calculate the target ST measurement value.

Step 504: Calculate the amplitude difference between the first amplitude and the second amplitude, and use the amplitude difference as a target ST measurement value.

Among them, the amplitude difference between the first amplitude and the second amplitude refers to calculating the difference between the first amplitude and the second amplitude, and the obtained difference is the amplitude difference. Since the first amplitude and the second amplitude are respectively the amplitude value corresponding to the first ST measurement point and the amplitude value corresponding to the second ST measurement point, the first amplitude and the second amplitude can be calculated by calculating the amplitude difference between the first amplitude and the second amplitude. Correspondence between the ST measurement point and the second ST measurement point. In an embodiment, the first amplitude may be set to 1.2mV, and the second amplitude may be set to 1.1mV, and the amplitude difference between the first amplitude and the second amplitude is 1.2-1.1=0.1mV. The obtained 0.1mV is taken as the measured value of the ST segment corresponding to the target QRS wave, that is, the measured value of the target ST. By calculating the amplitude difference between the first amplitude corresponding to the first ST measurement point and the second amplitude corresponding to the second ST measurement point, the measurement value of the ST segment corresponding to the target QRS wave can be obtained, that is, the target ST measurement value can be obtained, The automatic analysis of the first ST measurement point and the second ST measurement point is realized, and an accurate target ST measurement value is obtained, so that the ST detection result is more accurate.

As shown in FIG. 6, in one embodiment, obtaining a target ST trend graph according to each of the target ST measurement values obtained by calculation includes:

Step 602: Obtain a target time point corresponding to each target ST measurement value.

Among them, the target time point refers to the time point corresponding to the target ST measurement value on the electrocardiogram. In a 24-hour ECG, the time points on the ECG corresponding to different ST segments are different, so the target time points corresponding to the target ST measurement values corresponding to each ST segment are also different, and the target corresponding to each target ST measurement value can be obtained separately Point in time. In one embodiment, it is assumed that the target time point corresponding to one target ST measurement value is 152 ms, and the target time point corresponding to another target ST measurement value is 169 ms, and the two target time points of 152 ms and 169 ms are obtained respectively.

Step 604: Sort each of the target ST measurement values in a time sequence according to the target time point, and obtain a target ST trend graph according to the sorting result.

Wherein, sorting in chronological order refers to sorting each target ST measurement value according to the time sequence corresponding to the target time point corresponding to each target ST measurement value. Since different target ST measurement values correspond to different target time points, in order to determine the sequence of the target ST measurement values, each target ST measurement value can be sorted according to the time sequence corresponding to the target time point to obtain all target ST measurement values The order of precedence. In one embodiment, assuming that the target time point corresponding to the target ST measurement value ① is 152 ms, the target time point corresponding to the target ST measurement value ② is 132 ms, and the target time point corresponding to the target ST measurement value ③ is 169 ms, then the target time point The corresponding time sequence is 132ms<152ms<169ms, and the sequence of the target ST measurement value corresponding to each target time point is target ST measurement value ②<target ST measurement value ①<target ST measurement value ③. A 24-hour ST trend chart can be drawn after calculating and analyzing the target ST measurement value according to the sorting of the target ST measurement value. According to the time sequence corresponding to the target time point, sort the measured values of each target ST, and perform calculation and analysis according to the obtained sorting to obtain a complete target ST trend graph. The complete target ST trend graph can be used to detect whether the ST is abnormal. Realize the correct detection of ST.

As shown in FIG. 7, in one embodiment, detecting whether ST is abnormal according to the target ST trend graph includes:

Step 702: Obtain the offset potential of the ST to be detected in the target ST trend graph, and obtain the threshold of the offset potential.

Among them, the offset potential refers to the magnitude of the deviation between the potential corresponding to the ST to be detected and the equipotential line, and the deviation includes: upward offset and downward offset; the threshold of the offset potential refers to the critical value of the offset potential. In one embodiment, it is assumed that the offset potential of the ST to be detected is 0.01 mV. Because in any normal precordial lead, the drop of ST should not be less than 0.05mV. If it is too high or drop beyond the above range, it is an abnormal electrocardiogram, so 0.05mV can be used as the threshold of the offset potential. That is, it can be obtained that the offset potential is 0.01 mV, and the threshold value of the offset potential is 0.05 mV.

Step 704: Determine whether the offset potential of the ST to be detected meets the threshold requirement according to the threshold of the offset potential. When the offset potential meets the threshold requirement, go to step 706; when the offset potential does not meet the threshold requirement, go to step 708.

Wherein, determining whether the offset potential of the ST to be detected meets the threshold requirement of the offset potential refers to judging whether the offset potential of the ST to be detected exceeds the threshold range of the offset potential. In one embodiment, assuming that the offset potential is 0.03mV and the threshold of the offset potential is 0.05mV, the offset potential does not exceed the threshold range. When the offset potential does not exceed the threshold range, enter the determination step 706; assuming the offset If the potential is 0.06mV and the threshold of the offset potential is 0.05mV, the offset potential exceeds the threshold range. When the offset potential exceeds the threshold range, the determination step 708 is entered.

Step 706: Determine that the ST to be detected is normal.

Wherein, it is determined that the ST to be detected is normal, which means that the movement of the ST to be detected is normal. Since the offset potential refers to the magnitude of the deviation between the potential corresponding to the ST to be detected and the equipotential line, that is, the degree of deviation of the ST to be detected, the offset potential can be used to indicate the trend of the ST to be detected. When the offset potential of the ST to be detected When the threshold requirement is met, it can be determined that the offset potential is normal, so that it can be determined that the ST to be detected is normal. In an embodiment, assuming that the offset potential is 0.02 mV and the threshold value of the offset potential is 0.05 mV, the offset potential at this time is normal, so that it can be determined that the ST to be detected corresponding to the offset potential is normal.

Step 708: Determine the abnormality of the ST to be detected.

Wherein, determining the abnormality of the ST to be detected refers to the abnormality of the movement of the ST to be detected. Since the offset potential refers to the deviation between the potential corresponding to the ST to be detected and the equipotential line, the offset potential can be used to indicate the trend of the ST to be detected. When the offset potential of the ST to be detected does not meet the threshold requirements, it can be determined The offset potential is abnormal, so that the ST abnormal to be detected can be determined. In one embodiment, assuming that the offset potential is 0.07 mV and the threshold value of the offset potential is 0.05 mV, the offset potential at this time is abnormal, so that the ST abnormality to be detected corresponding to the offset potential can be determined. By obtaining the offset potential of the ST to be detected and the threshold of the offset potential in the target ST trend graph, it is determined whether the offset potential meets the threshold requirements. When the offset potential meets the threshold requirements, it is determined that the ST to be detected is normal, and when the offset potential does not meet the threshold. The threshold requirement is to determine the abnormality of the ST to be detected, which can correctly determine the trend of the ST, and solve the problem of the influence of more than 100,000 heartbeat morphological changes on the ST detection in 24 hours.

As shown in FIG. 8, in one embodiment, before acquiring the data of the target QRS wave, the method further includes:

Step 802: Acquire electrocardiogram data corresponding to the target QRS wave.

Among them, the ECG data corresponding to the target QRS wave refers to the relevant data of the 24-hour ECG where the target QRS wave is located. In one embodiment, obtaining the electrocardiogram data corresponding to the target QRS wave may be obtained according to the user's selection. The 24-hour electrocardiogram corresponding to different target QRS waves is also different, and the obtained electrocardiogram data will also be different.

Step 804: Obtain the position information of each target QRS wave in the electrocardiogram data.

Among them, the position information of each target QRS wave refers to the information of the corresponding position of each target QRS wave on the 24-hour ECG. Since the 24-hour ECG may contain multiple target QRS waves, the position information of each target QRS wave must be obtained from the ECG data separately, and the obtained position information can be used to extract each target QRS wave. In one embodiment, the location information of each target QRS wave can be obtained by analyzing the electrocardiogram data. For example, in the electrocardiogram data, the time period of 66ms~113ms obtained by the analysis is the location information corresponding to the target QRS wave, which can be directly obtained The location information.

Step 806: Analyze the location information to obtain target QRS wave data corresponding to each target QRS wave.

In one embodiment, assuming that the time period in the ECG data is 74 ms to 152 ms as the location information corresponding to the target QRS wave, the obtained location information can be analyzed to obtain the data of the target QRS wave. For example, in the 74ms~152ms time period, the 74ms time point is the starting point of the target QRS wave, and 152ms is the end point of the target QRS wave, so that the position data of the target QRS wave can be obtained, that is, the data of the target QRS wave can be obtained. By analyzing the ECG data, and then determining the position of the target QRS wave in the 24-hour ECG, the position information of the target QRS wave can be obtained, and the data of the target QRS wave can be obtained by analyzing the obtained position information, which can accurately determine the target QRS wave in the 24-hour ECG. To get the data of the target QRS wave.

As shown in FIG. 9, an embodiment of the present invention provides an ST detection device, and the device includes:

The acquiring module 902 is used to acquire the data of the target QRS wave, and analyze the data of the target QRS wave to obtain the starting position and the ending position of the target QRS wave;

The calculation module 904 is configured to calculate a target ST measurement value according to the start position and the end position;

The analysis module 906 is configured to obtain a target ST trend graph according to each of the target ST measurement values obtained by calculation;

The detection module 908 is configured to detect whether the ST is abnormal according to the target ST trend graph.

In one embodiment, the calculation of the target ST measurement value according to the starting point position and the ending point position includes: the obtaining module 902 is further configured to obtain a preset distance; and the calculation module 904 is further configured to obtain a preset distance according to the starting point. The position and the preset distance are calculated to obtain the first ST measurement point; the calculation module 904 is also used to calculate the second ST measurement point according to the end position and the preset distance; the calculation module 904 is also used to obtain the second ST measurement point according to the The first ST measurement point and the second ST measurement point are calculated to obtain the target ST measurement value.

In one embodiment, the calculation to obtain the first ST measurement point and the calculation to obtain the second ST measurement point include: the calculation module 904 is further configured to calculate the difference between the starting point position and the preset distance, The first ST measurement point is obtained; the calculation module 904 is further configured to calculate the sum between the end position and the preset distance to obtain the second ST measurement point.

In an embodiment, the calculation of the target ST measurement value according to the first ST measurement point and the second ST measurement point includes: the obtaining module 902 is further configured to obtain the first amplitude corresponding to the first ST measurement point , Obtain the second amplitude corresponding to the second ST measurement point; the calculation module 904 is further configured to calculate the amplitude difference between the first amplitude and the second amplitude, and use the amplitude difference as the target ST measurement value.

In an embodiment, the obtaining a target ST trend graph according to each of the target ST measurement values obtained by calculation includes: the obtaining module 902 is further configured to obtain the target time point corresponding to each of the target ST measurement values; The module 906 is further configured to sort each of the target ST measurement values in chronological order according to the target time point, and obtain a target ST trend graph according to the sorting result.

In one embodiment, the detecting whether the ST is abnormal according to the target ST trend graph includes: the obtaining module 902 is further configured to obtain the offset potential of the ST to be detected in the target ST trend graph, and obtain the offset potential The analysis module 906 is also used to determine whether the offset potential of the ST to be detected meets the requirements of the threshold according to the threshold of the offset potential; the detection module 908 is also used to when the offset potential meets the requirements of the threshold When the threshold is required, it is determined that the ST to be detected is normal; the detection module 908 is further configured to determine that the ST to be detected is abnormal when the offset potential does not meet the requirements of the threshold.

In one embodiment, before acquiring the data of the target QRS wave, it further includes: the acquiring module 902 is also used to acquire the ECG data corresponding to the target QRS wave; the acquiring module 902 is also used to acquire each of the ECG data The location information of each of the target QRS waves; the analysis module 906 is also used to analyze the location information to obtain target QRS wave data corresponding to each of the target QRS waves.

Fig. 10 shows an internal structure diagram of a computer device in an embodiment. The computer device may be a terminal. As shown in FIG. 10, the computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can enable the processor to implement the ST detection method. A computer program may also be stored in the internal memory, and when the computer program is executed by the processor, the processor can execute the ST detection method. The network interface is used to communicate with the outside world. Those skilled in the art can understand that the structure shown in FIG. 10 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may Including more or fewer parts than shown in the figure, or combining some parts, or having a different arrangement of parts.

In an embodiment, the ST detection method provided in this application can be implemented in the form of a computer program, and the computer program can run on the computer device as shown in FIG. 10. The memory of the computer equipment can store various program templates that make up the ST detection device. For example, the acquisition module 902, the calculation module 904, the analysis module 906, and the detection module 908.

A computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor executes the following steps: acquiring target QRS wave data, and analyzing the The data of the target QRS wave obtains the start position and the end position of the target QRS wave; the target ST measurement value is calculated according to the start position and the end position; the target ST trend graph is obtained according to the calculated target ST measurement value ; Detect whether the ST is abnormal according to the target ST trend graph.

In one embodiment, the calculation of the target ST measurement value according to the start position and the end position includes: obtaining a preset distance; and calculating the first measurement value according to the start position and the preset distance. ST measurement point; a second ST measurement point is calculated according to the end position and the preset distance; a target ST measurement value is calculated according to the first ST measurement point and the second ST measurement point.

In one embodiment, the calculation to obtain the first ST measurement point and the calculation to obtain the second ST measurement point includes: calculating the difference between the starting point position and the preset distance to obtain the first ST measurement point ; Calculate the sum between the end position and the preset distance to obtain a second ST measurement point.

In an embodiment, the calculation of the target ST measurement value according to the first ST measurement point and the second ST measurement point includes: obtaining a first amplitude corresponding to the first ST measurement point, and obtaining the second ST measurement point. The second amplitude corresponding to the ST measurement point; the amplitude difference between the first amplitude and the second amplitude is calculated, and the amplitude difference is used as the target ST measurement value.

In an embodiment, the obtaining a target ST trend graph according to each of the target ST measurement values obtained by calculation includes: obtaining a target time point corresponding to each target ST measurement value; according to the target time point, Sorting each of the target ST measurement values in chronological order, and obtaining a target ST trend graph according to the sorting result.

In one embodiment, the detecting whether the ST is abnormal according to the target ST trend graph includes: obtaining the offset potential of the ST to be detected in the target ST trend graph, and obtaining the threshold value of the offset potential; The threshold of the offset potential determines whether the offset potential of the ST to be detected meets the requirements of the threshold; when the offset potential meets the requirements of the threshold, it is determined that the ST to be detected is normal; when the offset When the potential shift does not meet the requirements of the threshold, it is determined that the ST to be detected is abnormal.

In one embodiment, before acquiring the data of the target QRS wave, the method further includes: acquiring the electrocardiogram data corresponding to the target QRS wave; acquiring the position information of each target QRS wave in the electrocardiogram data; The location information obtains the target QRS wave data corresponding to each target QRS wave.

A computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the following steps: acquiring target QRS wave data, and analyzing the target QRS wave data to obtain the target QRS The start position and end position of the wave; the target ST measurement value is calculated according to the start position and the end position; the target ST trend graph is obtained according to each of the target ST measurement values calculated; according to the target ST trend graph Check whether ST is abnormal.

A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer readable storage medium. Here, when the program is executed, it may include the procedures of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database, or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not a limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered as the range described in this specification.

The above-mentioned embodiments only express several implementation manners of the present application, and their descriptions are more specific and detailed, but they should not be understood as a limitation to the scope of the present application. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can be made, and these all fall within the protection scope of this application. Therefore, the scope of protection of the patent of this application shall be subject to the appended claims.

Claims

An ST detection method, characterized in that the method includes:

Acquire data of the target QRS wave, analyze the data of the target QRS wave to obtain the start position and the end position of the target QRS wave;

Calculating a target ST measurement value according to the start position and the end position;

Obtaining a target ST trend graph according to each of the target ST measurement values obtained by calculation;

Detect whether the ST is abnormal according to the target ST trend graph.
The method according to claim 1, wherein the calculating the target ST measurement value according to the starting point position and the ending point position comprises:

Get the preset distance;

Calculating the first ST measurement point according to the starting point position and the preset distance;

Calculate a second ST measurement point according to the end position and the preset distance;

The target ST measurement value is calculated according to the first ST measurement point and the second ST measurement point.
The method according to claim 2, wherein said calculating to obtain a first ST measurement point and said calculating to obtain a second ST measurement point comprises:

Calculating the difference between the starting point position and the preset distance to obtain the first ST measurement point;

Calculate the sum between the end position and the preset distance to obtain a second ST measurement point.
The method according to claim 2, wherein the calculating the target ST measurement value according to the first ST measurement point and the second ST measurement point comprises:

Acquiring a first amplitude corresponding to the first ST measurement point, and acquiring a second amplitude corresponding to the second ST measurement point;

Calculate the amplitude difference between the first amplitude and the second amplitude, and use the amplitude difference as a target ST measurement value.
The method according to claim 1, wherein the obtaining a target ST trend graph according to each of the target ST measurement values obtained by calculation comprises:

Acquiring a target time point corresponding to each target ST measurement value;

According to the target time point, each of the target ST measurement values is sorted in chronological order, and a target ST trend graph is obtained according to the sorting result.
The method according to claim 1, wherein the detecting whether ST is abnormal according to the target ST trend graph comprises:

Acquiring the offset potential of the ST to be detected in the target ST trend graph, and acquiring the threshold of the offset potential;

According to the threshold of the offset potential, determine whether the offset potential of the ST to be detected meets the requirements of the threshold;

When the offset potential meets the requirements of the threshold, determining that the ST to be detected is normal;

When the offset potential does not meet the requirements of the threshold, it is determined that the ST to be detected is abnormal.
The method according to claim 1, characterized in that, before said acquiring the data of the target QRS wave, it further comprises:

Acquiring electrocardiogram data corresponding to the target QRS wave;

Acquiring position information of each target QRS wave in the electrocardiogram data;

The location information is analyzed to obtain target QRS wave data corresponding to each target QRS wave.
An ST detection device, characterized in that the device comprises:

The acquisition module is used to acquire the data of the target QRS wave, and analyze the data of the target QRS wave to obtain the start position and the end position of the target QRS wave;

A calculation module, configured to calculate a target ST measurement value according to the start position and the end position;

An analysis module, configured to obtain a target ST trend graph according to each of the target ST measurement values obtained by calculation;

The detection module is used to detect whether the ST is abnormal according to the target ST trend graph.
A computer device, comprising a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the method according to any one of claims 1 to 7 A step of.
A computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the steps of the method according to any one of claims 1 to 7.