基于改进差分阈值算法的心电检测技术研究

doi:10.16180/j.cnki.issn1007-7820.2020.02.002

Abstract

Abstract:

Aiming at the limitation of fixed threshold in differential threshold algorithm, an algorithm based on adaptive peak threshold and R wave interval threshold was proposed. The algorithm automatically selected the peak threshold based on the characteristics of the ECG signal, and selected the R-wave interval threshold to improve the adaptability and accuracy of the algorithm. In this study, the ECG signal in the MIT-BIH arrhythmia database was used as the experimental sample. The combination of bandpass filtering and wavelet threshold filtering were utilized to complete the denoising of ECG signals. The ECG signals were detected by the improved differential adaptive threshold algorithm. The experimental results showed that the algorithm could improve the detection accuracy of R wave of ECG signal to 99.57%. The algorithm effectively reduced the occurrence of false detections and missed inspections, and accurately calculated heart rate, heart rate variability, physical fatigue, mental fatigue and common arrhythmia classification.

Key words: wavelet threshold filtering, improved differential threshold, adaptive, ECG detection, human physiological state, classification of arrhythmias

CLC Number:

TN911.6

ZHANG Xiaojun,WU Zhilu. Research of ECG Detection Technology Based on Improved Differential Threshold Algorithm[J].Electronic Science and Technology, 2020, 33(2): 6-13.

Figures/Tables 16

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References 16

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分解尺度	低频频域/Hz	高频频域/Hz
1	0~90	90~180
2	0~45	45-90
3	0~22.5	22.5~45
4	0~11.25	11.25~22.5
5	0~5.625	5.625~11.25
6	0~2.812 5	2.812 5~5.625
7	0~1.406 25	1.406 25~2.812 5
8	0~0.703 125	0.703 125~1.406 25
9	0~0.351 562 5	0.351 562 5~0.703 125

类别	判定条件
漏搏	2.4 s≥RR间期≥2×AHR
停搏	RR间期≥2.4 s
心动过速	IHR≥100次/min
心动过缓	IHR≤60次/min
心律不齐	相邻RR间期差≥0.16 s

记录编号	实际心拍数	检测心拍数	漏检数	准确率 /%
100	2 273	2 272	1	99.96
101	1 865	1 861	4	99.79
102	2 187	2 094	93	95.75
103	2 084	2 072	12	99.42
104	2 229	566	1 663	25.39
105	2 572	1 385	1 187	53.85
106	2 027	1 090	937	53.77
107	2 137	2 047	90	95.79
109	2 532	2 299	233	90.80
111	2 124	451	1 673	21.23
112	2 539	2 527	12	99.53
113	1 795	1 795	0	100
114	1 879	840	1 039	44.70
115	1 953	1 953	0	100
116	2 412	1 904	508	78.94
117	1 535	1 534	1	99.94
118	2 288	2 206	82	96.42
119	1 987	1 982	5	99.75
小计	38 418	30 878	7 540	80.84

记录编号	实际心拍数	检测心拍数	漏检数	误检数	准确率 /%
100	2 273	2 273	0	0	100
101	1 865	1 875	0	10	99.46
102	2 187	2 187	0	0	100
103	2 084	2 084	0	0	100
104	2 229	2 256	0	27	98.79
105	2 572	2 569	3	0	99.88
106	2 027	2 027	0	0	100
107	2 137	2 137	0	0	100
109	2 532	2 518	14	0	99.45
111	2 124	2 136	0	12	99.44
112	2 539	2 508	31	0	98.78
113	1 795	1 795	0	0	100
114	1 879	1 903	0	24	98.72
115	1 953	1 953	0	0	100
116	2 412	2 396	16	0	99.34
117	1 535	1 552	0	17	98.89
118	2 288	2 279	9	0	99.61
119	1 987	1 989	0	2	99.90
小计	38 418	38 437	73	92	99.57

Research of ECG Detection Technology Based on Improved Differential Threshold Algorithm

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