Electrocardiogram lead patch suitable for multiple body types and data processing method thereof

Abstract

The invention discloses an electrocardiogram lead patch suitable for multiple body types and a data processing method thereof. The electrocardiogram lead patch comprises lead points, five lead points form a group to form a lead patch, the lead points are distributed in a manner that two lead points on one side are ranked, three lead points on the other side are ranked, and the two lead points on one side and the three lead points on the other side are staggered in position. The method has the advantages of being capable of automatically adapting to users of different body types, simplifying the electrocardiogram monitoring process, improving the accuracy and efficiency of electrocardiosignal collection, and being particularly suitable for special crowds such as adults and children of thin and small body types.

Description

Technical Field

[0001] The invention relates to an electrocardiogram lead patch suitable for multiple body types and a data processing method thereof. Background Art

[0002] Electrocardiogram (ECG) is an important diagnostic tool for heart disease. Traditional ECG monitoring requires multiple lead patches to be precisely placed on specific locations on the patient's body surface, but this process is complicated and prone to errors. For example, if they are placed on the sternum and ribs, problems such as increased baseline noise, waveform distortion, and signal attenuation will occur, leading to misinterpretation of the ECG. It also has poor adaptability to special body types (such as extremely thin or children). Summary of the invention

[0003] The purpose of the present invention is to solve the problems existing in the existing disclosed technology, thereby designing an electrocardiogram lead patch suitable for multiple body types.

[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an electrocardiogram lead patch suitable for multiple body types, including lead points, the lead points are formed into a group of 5 to form a lead patch, the lead points are distributed in a pattern of two lead points on one side and three lead points on the other side, and the positions of the two lead points on one side and the three lead points on the other side are staggered.

[0005] A chest strap with an electrocardiogram lead patch, the chest strap comprises a transverse section, a left section and a right section, the left section and the right section are arranged on both sides of the transverse section, and the chest strap is provided with 6 lead patches V1, V2, V3, V4, V5, and V6, V1 is arranged on the inner side of the right section corresponding to the fourth intercostal space on the right edge of the sternum; V2, V3, V4, V5, and V6 are arranged on the inner side of the left section; V2 corresponds to the fourth intercostal space on the left edge of the sternum; V4 corresponds to the intersection of the left clavicle midline and the fifth intercostal space, and is located on the nipple line; V3 is located at the midpoint between V2 and V4, between the fourth and fifth intercostal spaces; V5 and V6 are respectively located at the level of V4 and extend to the anterior axillary line and the middle axillary line, both in the fifth intercostal space.

[0006] Furthermore, the ends of the left section and the right section are provided with connecting pieces for detachably connecting to the back side.

[0007] A method for electrocardiogram lead patch suitable for multiple body types,

[0008] Step 1: Data Collection

[0009] At the beginning, each patch starts data collection synchronously, and each patch records its own ECG signal;

[0010] Step 2: Preliminary signal processing

[0011] 2.1 Signal filtering: Use a bandpass filter to remove high-frequency noise and low-frequency interference from all collected ECG signals;

[0012] 2.2 Signal normalization: In order to eliminate the potential amplitude differences between different lead points, the filtered signal is normalized;

[0013] Step 3: Identification and elimination of wrong lead positions

[0014] 3.1 Statistical analysis: Calculate the correlation between the ECG signal of each lead point and the signals of its surrounding lead points;

[0015] 3.2 Anomaly detection: Identify lead points with low correlation with surrounding lead point signals and mark them as abnormal;

[0016] 3.3 Signal consistency test: further test the signal consistency of the lead points marked as abnormal; detect whether the characteristics of the R wave are consistent with most lead points, and remove those that are not consistent;

[0017] Step 4: Optimal lead point selection

[0018] 4.1 Signal quality assessment: Signal quality assessment is performed on all lead points that have not been eliminated, including signal-to-noise ratio and R wave amplitude indicators;

[0019] 4.2 Data fusion: According to the signal quality evaluation results, the lead point with the highest signal-to-noise ratio is selected as the best lead point;

[0020] Step 5: ECG Generation

[0021] Generate an ECG using the ECG signals obtained from the optimal lead points.

[0022] Advantages: Covering the area around the heart, automatically selecting the best lead point for ECG signal collection and analysis through intelligent algorithms, solving the problems of complexity, inaccuracy and poor adaptability to special groups of people in traditional ECG lead placement. It can automatically adapt to users of different body types, simplify the ECG monitoring process, and improve the accuracy and efficiency of ECG signal collection, especially for special groups such as thin adults and children. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the lead patch structure.

[0024] Figure 2 A schematic diagram of the chest strap structure.

[0025] Figure 3 The figure is a flow chart of the method. DETAILED DESCRIPTION

[0026] The following will be combined with the attached embodiment of the present invention Figure 1-3, the technical solutions in the embodiments of the present invention are described clearly and completely. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0027] Example 1 Reference Figure 1 , an electrocardiogram lead patch suitable for multiple body types, including lead points 3, the lead points are grouped into a lead patch 1 of 5, the lead points are arranged in a pattern of two lead points on one side and three lead points on the other side, and the positions of the two lead points on one side and the three lead points on the other side are staggered.

[0028] Example 2 Reference Figure 2 A chest strap 2 with an electrocardiogram lead patch, the chest strap comprising a transverse section 21, a left section 22 and a right section 23, the left section and the right section are arranged on both sides of the transverse section, and a total of 6 lead patches 1, V1, V2, V3, V4, V5, and V6, are arranged on the chest strap, V1 is arranged on the inner side of the right section corresponding to the fourth intercostal space on the right edge of the sternum; V2, V3, V4, V5, and V6 are arranged on the inner side of the left section; V2 corresponds to the fourth intercostal space on the left edge of the sternum; V4 corresponds to the intersection of the left clavicle midline and the fifth intercostal space, and is located on the nipple line; V3 is located at the midpoint between V2 and V4, between the fourth and fifth intercostal spaces; V5 and V6 are respectively located at the level of V4 and extend to the anterior axillary line and the middle axillary line, both in the fifth intercostal space.

[0029] The utility model relates to a chest strap with an electrocardiogram lead patch. The ends of the left section and the right section are provided with connecting pieces for being detachably connected around the back.

[0030] Example 3 Reference Figure 3 ,A method for multi-body type ECG lead patch, step 1: data collection

[0031] At the beginning, each patch starts data collection synchronously, and each patch records its own ECG signal; each lead point not only records its own ECG signal, but also records the signals of several surrounding lead points. The purpose of this is to use local signal redundancy to enhance the accuracy and robustness of subsequent signal analysis.

[0032] Step 2: Preliminary signal processing

[0033] 2.1 Signal filtering: Use a bandpass filter to remove high-frequency noise (such as electromagnetic interference) and low-frequency interference (such as baseline drift caused by breathing) from all collected ECG signals;

[0034] 2.2 Signal normalization: In order to eliminate the potential amplitude differences between different lead points, the filtered signal is normalized;

[0035] Step 3: Identification and elimination of wrong lead positions

[0036] 3.1 Statistical analysis: Calculate the correlation between the ECG signal of each lead point and the signals of its surrounding lead points; the ECG signals of adjacent lead points should have a high degree of similarity

[0037] 3.2 Anomaly detection: Identify lead points with low correlation with surrounding lead point signals and mark them as abnormal; abnormal lead points may be placed incorrectly or have problems with signal acquisition

[0038] 3.3 Signal consistency test: further test the signal consistency of the lead points marked as abnormal; detect whether the characteristics of the R wave are consistent with most lead points, and remove those that are not consistent;

[0039] Step 4: Optimal lead point selection

[0040] 4.1 Signal quality assessment: Signal quality assessment is performed on all lead points that have not been eliminated, including signal-to-noise ratio and R wave amplitude indicators;

[0041] 4.2 Data fusion: Based on the signal quality evaluation results, select the lead point with the highest signal-to-noise ratio as the best lead point; if there are multiple lead points with similar signal quality, data fusion technology can be used to integrate the data of these lead points to improve the overall quality of the final ECG signal.

[0042] Step 5: ECG Generation

[0043] Generate an ECG using the ECG signals obtained from the optimal lead points.

[0044] Covering the area around the heart, the intelligent algorithm automatically selects the best lead point for ECG signal collection and analysis, solving the problems of complexity, inaccuracy and poor adaptability to special groups of people in traditional ECG lead placement. It can automatically adapt to users of different body types, simplify the ECG monitoring process, and improve the accuracy and efficiency of ECG signal collection, especially for special groups such as thin adults and children.

[0045] Embodiment 4 A chest strap with an electrocardiogram lead patch has drive buttons corresponding to the lead points on the outer sides of the left and right segments. The drive buttons are connected to the control center through signals, and the control gives priority to adopting the lead point data corresponding to the drive buttons.

[0046] The drive button allows the physician or user to manually select certain lead points as candidate points for the subsequent automatic selection process of the best lead point.

[0047] 1. Preliminary selection of candidate sites:

[0048] -When the drive button is pressed, the corresponding lead point is activated and its signal data is processed first. The data of the candidate lead point will be used for preliminary signal quality analysis, including signal-to-noise ratio detection and waveform consistency assessment.

[0049] 2. Signal quality assessment:

[0050] -For each candidate lead point, the system will calculate the correlation between its signal and the signals of surrounding lead points and the signal-to-noise ratio, and screen out the lead point with the best signal quality.

[0051] 3. Best lead point selection:

[0052] -Based on the above evaluation, the system will select the lead point with the clearest and most stable signal from the candidate set. If the quality of multiple lead points is similar, the system will use data fusion technology to synthesize the signals of these points to further improve the accuracy of the ECG.

[0053] 4.ECG generation:

[0054] - Generate an ECG using ECG signals or synthetic signals obtained from the best lead points to provide diagnostic support to doctors.

[0055] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An electrocardiogram lead patch suitable for multiple body types, comprising lead points, Features: The lead points are grouped into 5 to form a lead patch, and the lead points are arranged in a sequence of two lead points on one side and three lead points on the other side, and the positions of the two lead points on one side and the three lead points on the other side are staggered.

2. A chest strap having the electrocardiogram lead patch according to claim 1, Features: The chest strap includes a transverse section, a left section and a right section. The left section and the right section are arranged on both sides of the transverse section. There are 6 lead patches V1, V2, V3, V4, V5 and V6 on the chest strap. V1 is arranged on the inner side of the right section corresponding to the fourth intercostal space on the right edge of the sternum; V2, V3, V4, V5 and V6 are arranged on the inner side of the left section; V2 corresponds to the fourth intercostal space on the left edge of the sternum; V4 corresponds to the intersection of the left midclavicular line and the fifth intercostal space, and is located on the nipple line; V3 is located at the midpoint between V2 and V4, between the fourth and fifth intercostal spaces; V5 and V6 are located at the level of V4 and extend to the anterior axillary line and the middle axillary line, respectively, both in the fifth intercostal space.

3. A chest strap with an electrocardiogram lead patch according to claim 2, Features: Connecting pieces for detachably connecting to the back are provided at the ends of the left section and the right section.

4. A data processing method for electrocardiogram lead patches of various sizes, Features: Step 1: Data Collection At the beginning, each patch starts data collection synchronously, and each patch records its own ECG signal; Step 2: Preliminary signal processing 2.1 Signal filtering: Use a bandpass filter to remove high-frequency noise and low-frequency interference from all collected ECG signals; 2.2 Signal normalization: In order to eliminate the potential amplitude differences between different lead points, the filtered signal is normalized; Step 3: Identification and elimination of wrong lead positions 3.1 Statistical analysis: Calculate the correlation between the ECG signal of each lead point and the signals of its surrounding lead points; 3.2 Anomaly detection: Identify lead points with low correlation with surrounding lead point signals and mark them as abnormal; 3.3 Signal consistency test: further test the signal consistency of the lead points marked as abnormal; detect whether the characteristics of the R wave are consistent with most lead points, and remove those that are not consistent; Step 4: Optimal lead point selection 4.1 Signal quality assessment: Signal quality assessment is performed on all lead points that have not been eliminated, including signal-to-noise ratio and R wave amplitude indicators; 4.2 Data fusion: According to the signal quality evaluation results, the lead point with the highest signal-to-noise ratio is selected as the best lead point; Step 5: ECG Generation Generate an ECG using the ECG signals obtained from the optimal lead points.

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