CN110881972A

CN110881972A - ST detection method, device, computer equipment and storage medium

Info

Publication number: CN110881972A
Application number: CN201911292479.XA
Authority: CN
Inventors: 李广勋; 邹继杰; 洪洁新; 于小林
Original assignee: SHENZHEN BIOCARE BIO-MEDICAL EQUIPMENT Co Ltd; Shenzhen Bangjian Technology Co Ltd
Current assignee: SHENZHEN BIOCARE BIO-MEDICAL EQUIPMENT Co Ltd; Shenzhen Bangjian Technology Co Ltd
Priority date: 2019-12-16
Filing date: 2019-12-16
Publication date: 2020-03-17
Also published as: WO2021120737A1

Abstract

The application relates to an ST detection method, which comprises the following steps: acquiring data of a target QRS wave, and analyzing the data of the target QRS wave to obtain a starting position and an end position of the target QRS wave; calculating according to the starting position and the end position to obtain a target ST measured value; obtaining a target ST trend graph according to each target ST measured value obtained through calculation; and detecting whether the ST is abnormal according to the target ST trend graph. By determining the starting position and the end position of the target QRS wave, calculating to obtain target ST measured values, obtaining a target ST trend graph according to each target ST measured value, and detecting whether ST is abnormal or not through the target ST trend graph, the problem that ST segment detection is influenced by heart beat form change can be solved, and therefore the detection result can be more accurate. In addition, an ST detection device, a computer device and a storage medium are also provided.

Description

ST detection method, device, computer equipment and storage medium

Technical Field

The present invention relates to the field of medical testing, and in particular, to a method and an apparatus for ST testing, a computer device, and a storage medium.

Background

The dynamic electrocardiogram analysis system uses a portable recorder to continuously collect electrocardiogram data information of 24 hours or more in a natural state of a human body, and processes, analyzes, replays and prints the electrocardiogram data information through computer software to assist a doctor in analyzing the electrocardiogram data information. In a dynamic electrocardiogram analysis system, ST segment analysis has great significance for clinically detecting diseases such as myocardial infarction, myocardial ischemia, pre-excitation syndrome and the like.

In the existing ST event analysis of the dynamic electrocardiogram analysis software, a doctor needs to manually set reference points, including a baseline point, a J point and an ST measuring point. But for more than 10 ten thousand heart beats in 24 hours, the doctor can only determine one heart beat to be the baseline point of the current heart beat; due to the diversity of heart beat morphology, the set baseline point is unlikely to be suitable for 24 hour heart beats, leading to ST false detection; and when there is interference in the signal, the influence on ST is greater, so that it is impossible to accurately detect whether ST is abnormal.

Disclosure of Invention

Based on this, the embodiment of the present invention provides an ST detection method, apparatus, computer device and storage medium, which can solve the problem that the ST segment detection is affected by the cardiac morphology change, so as to make the detection result more accurate,

a method of ST detection, the method comprising:

acquiring data of a target QRS wave, and analyzing the data of the target QRS wave to obtain a starting position and an end position of the target QRS wave;

calculating according to the starting position and the end position to obtain a target ST measured value;

obtaining a target ST trend graph according to each target ST measured value obtained through calculation;

and detecting whether the ST is abnormal according to the target ST trend graph.

In one embodiment, the calculating a target ST measurement value according to the starting position and the ending position includes: acquiring a preset distance; calculating to obtain a first ST measuring point according to the starting point position and the preset distance; calculating to obtain a second ST measuring point according to the end point position and the preset distance; and calculating a target ST measuring value according to the first ST measuring point and the second ST measuring point.

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

In one embodiment, the calculating the target ST measurement value from the first ST measurement point and the second ST measurement point comprises: acquiring a first amplitude corresponding to the first ST measuring point and acquiring a second amplitude corresponding to the second ST measuring point; and calculating the amplitude difference between the first amplitude and the second amplitude, and taking the amplitude difference as a target ST measured value.

In one embodiment, said deriving a target ST trend graph from each of said calculated target ST measurement values comprises: acquiring a target time point corresponding to each target ST measured value; and sequencing each target ST measured value according to the target time point, and obtaining a target ST trend graph according to a sequencing result.

In one embodiment, the detecting whether ST is abnormal according to the target ST trend graph includes: acquiring the offset potential of the ST to be detected in the target ST image, and acquiring the threshold value of the offset potential; determining whether the offset potential of the ST to be detected meets the requirement of the threshold value or not according to the threshold value of the offset potential; when the offset potential meets the requirement of the threshold value, determining that the ST to be detected is normal; and when the offset potential does not meet the requirement of the threshold value, determining that the ST to be detected is abnormal.

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

In a second aspect, an embodiment of the present invention provides an ST detection apparatus, including:

the acquisition module is used for acquiring data of a target QRS wave and analyzing the data of the target QRS wave to obtain a starting position and an end position of the target QRS wave;

the calculating module is used for calculating according to the starting position and the end position to obtain a target ST measured value;

the analysis module is used for obtaining a target ST trend graph according to each target ST measured value obtained through calculation;

and the detection module is used for detecting 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, where the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the following steps:

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the processor is caused to execute the following steps:

According to the ST detection method, the ST detection device, the computer equipment and the storage medium, the data of the target QRS wave is obtained, the data of the target QRS wave is analyzed to obtain the starting position and the end position of the target QRS wave, then the target ST measured value is obtained through calculation according to the starting position and the end position, the target ST trend graph is obtained according to each target ST measured value obtained through calculation, and finally whether the ST is abnormal or not is detected according to the target ST trend graph. The method comprises the steps of calculating to obtain target ST measured values through the starting position and the end position of a target QRS wave, obtaining an ST trend graph according to each target ST measured value, and detecting whether ST is abnormal or not through the target ST trend graph, so that the problem that the ST segment detection is influenced by the heart beat form change can be solved, and the detection result can be more accurate.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.

FIG. 1 is a flow diagram of a method of ST detection in one embodiment;

FIG. 2 is a flow diagram of a calculation of a target ST measurement value in one embodiment;

FIG. 3 is a schematic diagram of a first ST measurement point and a second ST measurement point in one embodiment;

FIG. 4 is a flow diagram of a calculation of a first ST measurement point and a second ST measurement point in one embodiment;

FIG. 5 is a flow chart of a calculation of a target ST measurement in another embodiment;

FIG. 6 is a flow chart that illustrates a trend graph of target ST based on each of the target ST measurements in one embodiment;

FIG. 7 is a flow diagram illustrating an exemplary process for detecting ST anomalies;

fig. 8 is a flow chart of data acquisition of a target QRS wave in one embodiment;

FIG. 9 is a block diagram showing the structure of an ST detection apparatus according to an embodiment;

FIG. 10 is a block diagram showing a configuration of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

As shown in fig. 1, an ST detection method is proposed, which can be applied to a terminal, and this embodiment is exemplified as being applied to a terminal. The ST detection method specifically comprises the following steps:

and 102, acquiring data of a target QRS wave, and analyzing the data of the target QRS wave to obtain a starting position and an end position of the target QRS wave.

Wherein, the data of the target QRS wave refers to the data of the QRS wave needing to be analyzed, and comprises the following steps: position information of the target QRS wave. The QRS wave (or QRS complex) is the largest amplitude complex in a normal electrocardiogram, and reflects the whole process of ventricular depolarization. The QRS wave group time of a normal adult is 0.06-0.10 s, the QRS wave group time of an infant and a young child is 0.04-0.08 s, and the QRS wave group time gradually approaches to the adult with the age. The QRS complex is prolonged in time and is seen in ventricular hypertrophy, intraventricular conduction block and pre-excitation syndrome. The starting position refers to the time position of the target QRS wave appearing in the 24-hour electrocardiogram; the end position refers to the time position of the end of the target QRS wave. In a 24-hour electrocardiogram, a plurality of target QRS waves may exist, and the corresponding positions of each target QRS wave are different, so that the data of each target QRS wave can be analyzed to obtain the starting position and the ending position of each target QRS wave, and the corresponding position of each target QRS wave in the 24-hour electrocardiogram can be determined. In one embodiment, the starting position and the ending position of the target QRS wave can be obtained by automatic calculation inside the algorithm, so that the starting position and the ending position corresponding to each target QRS wave can be obtained respectively. The start and end positions of each target QRS wave can be used to calculate target ST measurements.

And 104, calculating to obtain a target ST measured value according to the starting position and the end position.

The target ST measurement value refers to a measurement value obtained when an ST segment corresponding to a target QRS wave is measured, and the target ST measurement value may indicate a change condition of the ST segment. The ST segment (or ST) is the ST segment of the electrocardiogram, which is a flat line from the end of the QRS complex to the start of the T wave, and reflects that all parts of the ventricle are excited and all parts are depolarized, so there is no potential difference. Because each target QRS wave only corresponds to one ST segment, relevant parameters of the ST segment corresponding to the target QRS wave can be set according to the starting position and the end position of each target QRS wave, and a target ST measurement value corresponding to the target QRS wave can be obtained through calculation according to the starting position, the end position and the relevant parameters of the ST segment. In one embodiment, relevant parameters of the ST segment can be set to be ST points, and the ST points can be set to be one or more according to requirements. Then, a target ST measurement value corresponding to each ST segment can be calculated according to the starting point position, the end point position and the ST point, and the calculated target ST measurement value can be used for analyzing to obtain a target ST trend graph.

And 106, obtaining a target ST trend graph according to each calculated target ST measured value.

The target ST trend graph is a trend graph reflecting the ST trend for 24 hours. Since the target ST measurement value is a measurement value corresponding to each ST segment, and the target ST measurement value can represent the change condition of the ST segment, each target ST measurement value can be analyzed to obtain the complete change condition of the ST segment, i.e. to obtain the trend graph of the ST segment for 24 hours. In one embodiment, each target ST measurement may be calculated and analyzed according to a preset algorithm to obtain an analysis result. From the analysis results, a 24-hour target ST trend graph can be drawn by the software. The target ST trend map may be used to detect whether ST is abnormal.

And 108, detecting whether the ST is abnormal according to the target ST trend graph.

Detecting whether the ST is abnormal or not means detecting whether the ST meets the requirement or not, and when the ST meets the requirement, determining that the ST is normal; when ST is not satisfactory, it may be determined that ST is abnormal. Since the target ST trend graph can reflect the ST movement within 24 hours, whether the ST movement is abnormal or not can be detected by analyzing the target ST trend graph, and the ST can be determined to be normal when the ST movement in the target ST trend graph is not abnormal; when an abnormality in the movement direction of ST in the target ST trend graph is detected, it may be determined that ST is abnormal. In one embodiment, whether the ST movement direction is abnormal or not can be determined by detecting whether the offset potential of the ST in the target ST trend graph is abnormal or not, and when the offset potential is normal, the ST can be determined to be normal; when the offset potential is abnormal, it can be determined that ST is abnormal.

According to the ST detection method, the starting position and the ending position of the target QRS wave are determined, then the target ST measured values are obtained through calculation, the target ST trend graph is obtained according to each target ST measured value, whether ST is abnormal or not is detected through the target ST trend graph, the problem that ST segment detection is influenced by heart beat form change can be solved, and therefore the detection result can be more accurate.

As shown in fig. 2, in one embodiment, the calculating a target ST measurement value according to the starting position and the ending position includes:

step 202, obtaining a preset distance.

Wherein, the preset distance refers to a preset time distance from the target QRS wave. The preset distance can be set according to the requirements of the user, and different preset distances are obtained according to different requirements. In one embodiment, the predetermined distance may be calculated according to a sampling rate. For example, assuming that the preset distance is X, the sampling rate in 1 second is 256Hz, and 1 second is 1000 milliseconds, the preset distance X is 1/256 × 1000 is 3.9ms, and 3.9ms is obtained as the preset distance. The preset distance may be used to calculate a target ST measurement value.

And step 204, calculating to obtain a first ST measuring point according to the starting point position and the preset distance.

The first ST measurement point is the first position point required for calculating the target ST measurement value, and is also referred to as the baseline point for detecting ST. Since the first ST measurement point is the starting point of the ST segment and the detection standard point, a certain time position point before the starting position of the target QRS wave can be taken as the starting point of the ST segment, and the preset distance is a preset time distance from the target QRS wave, so that the first ST measurement point can be calculated according to the starting position of the target QRS wave and the preset distance. In one embodiment, a time position point corresponding to a preset distance before the starting position is calculated may be used as the starting point of the detection ST segment, and as shown in fig. 3, assuming that the preset distance is X, the starting position may be set as a point Q, and a position point spaced apart from the point Q by the time distance X is an ISO point, so the first ST measurement point may be an ISO point. The ISO point at this time is a time position point before the starting point position, and the distance between the ISO point and the Q point is the preset distance X, whereby the ISO point can be obtained as the first ST measurement point, which can be used for calculating the target ST measurement value.

And step 206, calculating to obtain a second ST measuring point according to the end point position and the preset distance.

The second ST measurement point is a second position point required for calculating the target ST measurement value, and is also referred to as an ST-stage shift measurement point. In one embodiment, a point in time after the end of the target QRS wave may be taken as the second ST measurement point. And calculating to obtain a second ST measuring point according to the end point position and the preset distance, wherein the second ST measuring point can be a time position point corresponding to the preset distance after the target QRS is calculated. As shown in fig. 3, assuming that the preset distance is X, the end point position may be a J point, and a position point spaced apart from the J point by a time distance X is an ST point, so the second ST measurement point may be an ST point. The ST point at this time is a time position point after the end position, and the distance between the ISO point and the Q point is the preset distance X, whereby the ST point is obtained as the second ST measurement point, and the target ST measurement value can be calculated from the calculated second ST measurement point.

And a step 208 of calculating a target ST measurement value according to the first ST measurement point and the second ST measurement point.

The target ST measurement value refers to the measurement value of the ST segment corresponding to the target QRS wave. Since the target ST measurement value can reflect the behavior of the ST segment, and the first ST measurement point and the second ST measurement point are two location points for calculating the target ST measurement value, respectively, the target ST measurement value can be calculated from the first ST measurement point and the second ST measurement point. In one embodiment, the target ST measurement value may be calculated according to the correlation parameters of the first ST measurement point and the second ST measurement point, for example, assuming that the correlation parameter of the first ST measurement point is the amplitude corresponding to the first ST measurement point, and the correlation 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 target ST measurement value may be calculated according to the amplitudes corresponding to the two measurement points. A target ST measurement value is calculated by setting a first ST measurement point and a second ST measurement point of an ST segment corresponding to a target QRS wave according to relevant parameters of the first ST measurement point and the second ST measurement point, and a correct first ST measurement point and a correct second ST measurement point can be obtained through automatic analysis; then, according to the correct relevant parameters of the first ST measuring point (namely, the baseline point) and the second ST measuring point (namely, the ST-segment shift measuring point), the correct target ST measuring value can be calculated, the doctor operation can be reduced, the ST-segment measuring point and the ST-segment measuring value can be accurately obtained, and the detection efficiency is improved.

As shown in fig. 4, in one embodiment, the calculating a first ST measurement point and the calculating a second ST measurement point includes:

step 402, calculating a difference between the starting position and the preset distance to obtain a first ST measurement point.

The difference between the starting point position and the preset distance is a difference obtained by subtracting the preset distance from a 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 may be set to a point at a time position before the starting position of the target QRS wave, so that a point at a time distant from the starting position of the target QRS wave by a preset distance may be used as the baseline point. In one embodiment, the time point spaced apart from the starting point by the preset distance may be obtained by calculating a difference between the starting point and the preset distance. As shown in fig. 3, the starting position may be a point Q (the point Q is 74ms), and the preset distance may be X (X is 39 ms); the first ST measurement point may be obtained by calculating a difference between the starting point position and the preset distance, where Q-X may be calculated to be 74-39 to 35ms, the obtained time point of 35ms may be an ISO point, and the ISO point may be set as the first ST measurement point.

Step 404, calculating the sum of the end point position and the preset distance to obtain a second ST measurement point.

The sum of the end point position and the preset distance is a value obtained by adding the preset distance to a time point corresponding to the end point position. Since the second ST measurement point is a second position point required for calculating the target ST measurement value, in actual operation, the second ST measurement point may be set to a certain time point after the end position of the target QRS wave, so a time point separated from the end position by a time distance of a preset distance may be taken as the second ST measurement point. In one embodiment, the time point separated from the end position by the preset distance may be obtained by calculating the sum of the end position and the preset distance. As shown in fig. 3, the end point position may be a J point (the J point position is 152ms), and the preset distance may be X (X is 39 ms); the second ST measurement point may be obtained by calculating the sum of the end point position and the preset distance, where J + X is 153+39 is 191ms, and the obtained 191ms time point is the ST point, and the second ST measurement point may be represented by the ST point. A first ST measuring point can be obtained by calculating the difference between the starting point position and the preset distance; a second ST measuring point can be obtained by calculating the sum of the end point position and the preset distance; the position relation between the starting point position and the end point position and the first ST measuring point and the second ST measuring point is determined through the preset distance, the first ST measuring point and the second ST measuring point can be accurately obtained, and the problem that the ST segment detection is influenced by the heart beat form change is solved.

As shown in fig. 5, in one embodiment, the calculating a target ST measurement value from the first ST measurement point and the second ST measurement point includes:

step 502, obtaining a first amplitude corresponding to the first ST measurement point, and obtaining a second amplitude corresponding to the second ST measurement point.

The first amplitude refers to an amplitude value corresponding to the first ST measurement point, and the second amplitude refers to an amplitude value corresponding to the second ST measurement point. Since the amplitude values corresponding to different measurement points are also different in the 24-hour electrocardiogram, it is necessary to acquire a first amplitude corresponding to the first ST measurement point and a second amplitude corresponding to the second ST measurement point, respectively. In one embodiment, the amplitude value corresponding to the first ST measurement point may be 1.0mV, and then the first amplitude may be obtained to be 1.0 mV; the amplitude value corresponding to the second ST measurement point may be 0.5mV, and then the second amplitude may be obtained to be 0.5 mV. The first amplitude and the second amplitude are obtained and may be used to calculate a target ST measurement.

Step 504, calculating an amplitude difference between the first amplitude and the second amplitude, and using the amplitude difference as a target ST measurement value.

The amplitude difference between the first amplitude and the second amplitude is 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 an amplitude value corresponding to the first ST measurement point and an amplitude value corresponding to the second ST measurement point, the correspondence between the first ST measurement point and the second ST measurement point can be obtained by calculating an amplitude difference between the first amplitude and the second amplitude. In one embodiment, the first amplitude may be set to 1.2mV, the second amplitude may be set to 1.1mV, and the amplitude difference between the first amplitude and the second amplitude is 1.2-1.1-0.1 mV. And taking the obtained 0.1mV as a measured value of the ST segment corresponding to the target QRS wave, namely a target ST measured value. By calculating the amplitude difference between the first amplitude corresponding to the first ST measuring point and the second amplitude corresponding to the second ST measuring point, the measured value of the ST segment corresponding to the target QRS wave can be obtained, namely the target ST measured value can be obtained, automatic analysis of the first ST measuring point and the second ST measuring point is realized, the accurate target ST measured value is obtained, and the ST detection result is more accurate.

As shown in fig. 6, in one embodiment, the obtaining a target ST trend graph according to each of the calculated target ST measurement values includes:

step 602, obtaining a target time point corresponding to each target ST measurement value.

The target time point refers to a corresponding time point of the target ST measurement value on the electrocardiogram. In the 24-hour electrocardiogram, since time points on the electrocardiogram are different for different ST segments, target time points corresponding to target ST measurement values for each ST segment are also different, and target time points corresponding to target ST measurement values can be acquired separately. In one embodiment, assuming that a target time point corresponding to one target ST measurement value is 152ms and a target time point corresponding to another target ST measurement value is 169ms, two target time points, 152ms and 169ms, are obtained respectively.

And step 604, sorting each target ST measured value according to the target time point, and obtaining a target ST trend graph according to a sorting result.

In one embodiment, the target time point corresponding to the target ST measurement value ① is assumed to be 152ms, the target time point corresponding to the target ST measurement value ② is 132ms, the target time point corresponding to the target ST measurement value ③ is 169ms, the time sequence corresponding to the target time point is 132ms < 152ms < 169ms, the target ST measurement value corresponding to each target time point is ordered according to the target ST measurement value ② < target ST measurement value ① < target ST measurement value ③, the target ST measurement values are calculated, analyzed and then a 24-hour ST trend graph is drawn.

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

step 702, 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 offset potential refers to the deviation of the potential corresponding to the ST to be detected and the equipotential line, and the deviation includes: an upward offset and a downward offset; the threshold value of the offset potential is a critical value of the offset potential. In one embodiment, the offset potential of the ST to be detected is assumed to be 0.01 mV. Since the ST should not fall below 0.05mV in any normal ECG cascade, and should be higher or fall outside the above range, it is an abnormal ECG, 0.05mV may be used as the offset threshold. That is, the offset potential was 0.01mV and the threshold value of the offset potential was 0.05 mV.

Step 704, determining whether the offset potential of the ST to be detected meets the requirement of the threshold value according to the threshold value of the offset potential. When the offset potential meets the requirement of the threshold, step 706 is entered; when the offset potential does not meet the threshold requirement, step 708 is entered.

Determining whether the offset potential of the ST to be detected meets the threshold requirement of the offset potential refers to determining 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 value of the offset potential is 0.05mV, the offset potential does not exceed the threshold range, and when the offset potential does not exceed the threshold range, enter the determination step 706; assuming that the offset potential is 0.06mV and the threshold value of the offset potential is 0.05mV, the offset potential exceeds the threshold range, and when the offset potential exceeds the threshold range, the process proceeds to the determination step 708.

Step 706, determining that the ST to be detected is normal.

Wherein, the step of determining that the ST to be detected is normal refers to that the movement direction of the ST to be detected is normal. The offset potential is the deviation of the potential corresponding to the ST to be detected and the equipotential line, namely the deviation degree of the ST to be detected, so that the movement direction of the ST to be detected can be represented by the offset potential, and when the offset potential of the ST to be detected meets the threshold requirement, the offset potential can be determined to be normal, and the ST to be detected can be determined to be normal. In one embodiment, assuming that the offset potential is 0.02mV and the threshold value of the offset potential is 0.05mV, 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, determining that the ST to be detected is abnormal.

The step of determining the ST abnormality to be detected refers to the abnormal movement of the ST to be detected. The offset potential is the deviation of the potential corresponding to the ST to be detected and the equipotential line, so that the moving direction of the ST to be detected can be represented by the offset potential, and when the offset potential of the ST to be detected does not meet the threshold requirement, the abnormal offset potential can be determined, so that the abnormal ST to be detected can be determined. In one embodiment, assuming that the offset potential is 0.07mV and the threshold value of the offset potential is 0.05mV, the offset potential at this time is abnormal, so that the ST abnormality to be detected corresponding to the offset potential can be determined. The method comprises the steps of judging whether the offset potential meets the threshold requirement or not by obtaining the offset potential and the threshold value of the offset potential of the ST to be detected in a target ST trend graph, determining that the ST to be detected is normal when the offset potential meets the threshold requirement, and determining that the ST to be detected is abnormal when the offset potential does not meet the threshold requirement, so that the movement direction of the ST can be correctly determined, and the problem of influence of more than 10 ten thousand heart beat morphological changes in 24 hours on ST detection is solved.

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

and step 802, acquiring electrocardiogram data corresponding to the target QRS wave.

The electrocardiogram data corresponding to the target QRS wave refers to the data related to the 24-hour electrocardiogram of the target QRS wave. In one embodiment, the electrocardiogram data corresponding to the target QRS wave may be obtained according to the selection of the user, and the 24-hour electrocardiogram corresponding to different target QRS waves may be different, and the obtained electrocardiogram data may be different.

Step 804, obtaining position information of each target QRS wave in the electrocardiogram data.

The position information of each target QRS wave refers to the information of the corresponding position of each target QRS wave on a 24-hour electrocardiogram. Since a plurality of target QRS waves may be included in the 24-hour electrocardiogram, the position information of each target QRS wave is obtained from the electrocardiogram data, 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 electrocardiogram data, for example, in the electrocardiogram data, the location information corresponding to the target QRS wave in a time period of 66ms to 113ms is obtained by analysis, and the location information can be directly obtained.

Step 806, analyzing the position information to obtain data of a target QRS wave corresponding to each target QRS wave.

In one embodiment, assuming that the time period of 74ms to 152ms in the electrocardiographic data is the position information corresponding to the target QRS wave, the obtained position information can be analyzed, so as to obtain the data of the target QRS wave. For example, in the time period of 74ms to 152ms, the time point of 74ms is the starting point of the target QRS wave, and 152ms is the ending point of the target QRS wave, so that the position data of the target QRS wave, that is, the data of the target QRS wave can be obtained. By analyzing electrocardiogram data, then determining the position of a target QRS wave in a 24-hour electrocardiogram to obtain the position information of the target QRS wave, the data of the target QRS wave can be obtained by analyzing the obtained position information, and the position of the target QRS wave in the 24-hour electrocardiogram can be accurately determined to obtain the data of the target QRS wave.

As shown in fig. 9, an embodiment of the present invention provides an ST detection apparatus, including:

an obtaining module 902, configured to obtain data of a target QRS wave, and analyze the data of the target QRS wave to obtain a start position and an end position of the target QRS wave;

a calculating module 904, configured to calculate a target ST measurement value according to the starting point position and the ending point position;

an analysis module 906, configured to obtain a target ST trend graph according to each calculated target ST measurement value;

a detecting module 908 for detecting whether ST is abnormal according to the target ST trend graph.

In one embodiment, said calculating a target ST measurement value from said starting position and said ending position comprises: the obtaining module 902 is further configured to obtain a preset distance; the calculating module 904 is further configured to calculate to obtain a first ST measuring point according to the starting point position and the preset distance; the calculating module 904 is further configured to calculate to obtain a second ST measuring point according to the end point position and the preset distance; the calculating module 904 is further configured to calculate a target ST measurement value according to the first ST measurement point and the second ST measurement point.

In one embodiment, said calculating a first ST measurement point and said calculating a second ST measurement point comprises: the calculating module 904 is further configured to calculate a difference between the starting point position and the preset distance to obtain a first ST measurement point; the calculation module 904 is further configured to calculate a sum of the end point position and the preset distance to obtain a second ST measurement point.

In one embodiment, said calculating a target ST measurement value from said first ST measurement point, second ST measurement point comprises: the obtaining module 902 is further configured to obtain a first amplitude corresponding to the first ST measurement point, and obtain a second amplitude corresponding to the second ST measurement point; the calculation module 904 is further configured to calculate an amplitude difference between the first amplitude and the second amplitude, the amplitude difference being a target ST measurement value.

In one embodiment, said deriving a target ST trend map from each of said calculated target ST measurement values comprises: the obtaining module 902 is further configured to obtain a target time point corresponding to each target ST measurement value; the analyzing module 906 is further configured to sort each of the target ST measurement values according to a time sequence according to the target time point, and obtain a target ST trend graph according to a sorting result.

In one embodiment, the detecting whether ST is abnormal according to the target ST trend graph includes: the obtaining module 902 is further configured to obtain an offset potential of the ST to be detected in the target ST trend graph, and obtain a threshold of the offset potential; the analysis module 906 is further configured to determine whether the offset potential of the ST to be detected meets the requirement of the threshold value according to the threshold value of the offset potential; the detection module 908 is further configured to determine that the ST to be detected is normal when the offset potential meets the requirement of the threshold; the detecting module 908 is further configured to determine that the ST to be detected is abnormal when the offset potential does not meet the requirement of the threshold.

In one embodiment, before said acquiring data of a target QRS wave, further comprising: the obtaining module 902 is further configured to obtain electrocardiogram data corresponding to the target QRS wave; the obtaining module 902 is further configured to obtain position information of each target QRS wave in the electrocardiographic data; the analyzing module 906 is further configured to analyze the position information to obtain data of a target QRS wave corresponding to each target QRS wave.

FIG. 10 is a diagram illustrating an internal structure of a computer device in one 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 by a system bus. Wherein 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 that, when executed by the processor, causes the processor to implement the ST detection method. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform the ST detection method. The network interface is used for communicating with the outside. Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, the ST detection method provided herein may be implemented in the form of a computer program that is executable on a computer device such as that shown in fig. 10. The memory of the computer device may store therein the respective program templates constituting the ST detecting means. Such as an acquisition module 902, a calculation module 904, an analysis module 906, and a detection module 908.

A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring data of a target QRS wave, and analyzing the data of the target QRS wave to obtain a starting position and an end position of the target QRS wave; calculating according to the starting position and the end position to obtain a target ST measured value; obtaining a target ST trend graph according to each target ST measured value obtained through calculation; and detecting whether the ST is abnormal according to the target ST trend graph.

In one embodiment, said calculating a target ST measurement value from said starting position and said ending position comprises: acquiring a preset distance; calculating to obtain a first ST measuring point according to the starting point position and the preset distance; calculating to obtain a second ST measuring point according to the end point position and the preset distance; and calculating a target ST measuring value according to the first ST measuring point and the second ST measuring point.

In one embodiment, said calculating a first ST measurement point and said calculating a second ST measurement point comprises: calculating the difference between the starting point position and the preset distance to obtain a first ST measuring point; and calculating the sum of the end point position and the preset distance to obtain a second ST measuring point.

In one embodiment, said calculating a target ST measurement value from said first ST measurement point, second ST measurement point comprises: acquiring a first amplitude corresponding to the first ST measuring point and acquiring a second amplitude corresponding to the second ST measuring point; and calculating the amplitude difference between the first amplitude and the second amplitude, and taking the amplitude difference as a target ST measured value.

In one embodiment, said deriving a target ST trend map from each of said calculated target ST measurement values comprises: acquiring a target time point corresponding to each target ST measured value; and sequencing each target ST measured value according to the target time point, and obtaining a target ST trend graph according to a sequencing result.

In one embodiment, the detecting whether ST is abnormal according to the target ST trend graph includes: acquiring the offset potential of the ST to be detected in the target ST trend graph, and acquiring the threshold value of the offset potential; determining whether the offset potential of the ST to be detected meets the requirement of the threshold value or not according to the threshold value of the offset potential; when the offset potential meets the requirement of the threshold value, determining that the ST to be detected is normal; and when the offset potential does not meet the requirement of the threshold value, determining that the ST to be detected is abnormal.

In one embodiment, before said acquiring data of a target QRS wave, further comprising: acquiring electrocardiogram data corresponding to the target QRS wave; acquiring position information of each target QRS wave in the electrocardiogram data; and analyzing the position information to obtain data of the target QRS wave corresponding to each target QRS wave.

A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of: acquiring data of a target QRS wave, and analyzing the data of the target QRS wave to obtain a starting position and an end position of the target QRS wave; calculating according to the starting position and the end position to obtain a target ST measured value; obtaining a target ST trend graph according to each target ST measured value obtained through calculation; and detecting whether the ST is abnormal according to the target ST trend graph.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. An ST detection method, the method comprising:

2. The method of claim 1, wherein said calculating a target ST measurement value from said starting position and said ending position comprises:

acquiring a preset distance;

calculating to obtain a first ST measuring point according to the starting point position and the preset distance;

calculating to obtain a second ST measuring point according to the end point position and the preset distance;

and calculating a target ST measuring value according to the first ST measuring point and the second ST measuring point.

3. The method of claim 2, wherein said calculating a first ST measurement point and said calculating a second ST measurement point comprises:

calculating the difference between the starting point position and the preset distance to obtain a first ST measuring point;

and calculating the sum of the end point position and the preset distance to obtain a second ST measuring point.

4. The method of claim 2, wherein said calculating a target ST measurement value from said first ST measurement point and said second ST measurement point comprises:

acquiring a first amplitude corresponding to the first ST measuring point and acquiring a second amplitude corresponding to the second ST measuring point;

and calculating the amplitude difference between the first amplitude and the second amplitude, and taking the amplitude difference as a target ST measured value.

5. The method according to claim 1, wherein said deriving a target ST trend map from each of said calculated target ST measurements comprises:

acquiring a target time point corresponding to each target ST measured value;

and sequencing each target ST measured value according to the target time point, and obtaining a target ST trend graph according to a sequencing result.

6. The method according to claim 1, wherein said detecting whether ST is abnormal from said 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 value of the offset potential;

determining whether the offset potential of the ST to be detected meets the requirement of the threshold value or not according to the threshold value of the offset potential;

when the offset potential meets the requirement of the threshold value, determining that the ST to be detected is normal;

and when the offset potential does not meet the requirement of the threshold value, determining that the ST to be detected is abnormal.

7. The method of claim 1, prior to said acquiring data of a target QRS wave, further comprising:

acquiring electrocardiogram data corresponding to the target QRS wave;

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

and analyzing the position information to obtain data of the target QRS wave corresponding to each target QRS wave.

8. An ST detection apparatus, characterized in that the apparatus comprises:

9. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.