A Novel and Fast P Wave Detection Algorithm in ECG Signals
-
摘要: 该文提出了一种新的、简单、实时性好的多导联ECG P波检测算法。该方法先检测QRS-T波群的范围,然后消除ECG中QRS-T波群,最后在TQ段利用低通差分法(LPD)和切线法检测P波起点和终点,并取两种方法的平均作为最终结果。切线法是临床医生T波终点定位所使用的方法,该文首次将其应用到P波起点和终点定位。利用CSE数据库对算法进行测试,一致性分析发现本算法检测结果和CSE数据库注解具有较好的一致性,算法检测到的P波起点、终点相对于CSE程序注解的总体平均偏差分别为-2.01 ms、3.94 ms,偏差的标准差分别是4.96 ms、5.86 ms。Abstract: This paper presents a new, simple and fast algorithm of automated P wave detection in multi-lead ECG Signals. Range of QRS-T complex is detected firstly. Then QRS-T complex is eliminated. Finally, P wave's onset and offset are detected by using the average of low-pass difference method and tangent method. Tangent method is always used to locate the offset of T Wave but it will firstly be used to locate the P wave onset and offset in this paper. The proposed algorithm is tested by the annotated CSE database. Result shows that algorithm test result has a good consistency with BIS CSE annotation. Compared with the mean and standard deviation of P wave onset and offset, our algorithm and CSE annotation is -2.01 ms, 3.94 ms and 4.96 ms, 5.86 ms.
-
Keywords:
- ECG /
- P wave /
- lead /
- low-pass difference (LPD) /
- tangent method
-
-
[1] Surawicz B, Childers R, Deal B J, et al. AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram[J]. J Am Coll Cardiol, 2009, 53(11):976-981.
[2] 叶文宇. 心电自动诊断技术的研究[D]. 天津:天津大学, 2003. [3] Kors A J, Herpen G V. Computer analys is of the electrocardiogram[J/OL]. http://link.springer.com/referenceworkentry/10.1007/978-1-84882-046-3_37.
[4] Laguna P, Jane R, Caminal P. Automatic detection of wave boundaries in multilead ECG signals:validation with the CSE database[J]. Comput Biomed Res, 1994, 27(1):45-60.
[5] Laguna P, Vigo D, Jane R, et al. Automatic wave onset and offset determination in ECG signal:validation with the CSE database[J]. Comput Cardiol, 1992:167-170
[6] Martinez J P, Almeida R, Salvador O, et al. A wavelet-based ECG delineator:evaluation on standard databases[J]. IEEE Trans Biomed Eng, 2004, 51(4):570-581.
[7] Yochum M, Renaud C, Jacquir S. Automatic detection of P, QRS and T patterns in 12 leads ECG signal based on CWT[J]. Biomed Sign Proc Contr, 2016, 25:46-52.
[8] Lin C, Kail G, Tourneret J Y, et al. P and T wave delineation and waveform estimation in ECG signals using a block gibbs sampler[J]. IEEE ICASSP, 2011,7882(1):540.
[9] Sayadi O, Shamsollahi M. A model-based Bayesian framework for ECG beat segmentation[J]. Physiol Measur, 2009, 30(3):335-352.
[10] Tompkins W J. Biomedical digital signal processing:c-language examples and laboratory experiments for the IBM PC[J]. PrenticeHall, Inc, 1993, 30(3):335-352.
[11] Pan J, Tompkins J W. A real-time QRS detection algorithm[J]. IEEE Trans Biomed Eng, 1985, BME-32(3):230-236.
[12] Neilson J M M. Dynamic QT interval analysis[J]. Herzschrittmachertherapie & Elektrophysiologie, 2000, 8(4):131-141.
[13] Gonzalez-Fernandez R, Rivero-Varona M, Oca-Colina G M de. Detection of P wave in electrocardiogram[J/OL].https://www.deepdyve.com/lp/institute-of-electrical-and-electronics-engineers/detection-of-p-wave-in-electrocardiogram-FjYq3opNQX.
[14] Schreier G, Hayn D, Lobodzinski S. Development of a new QT algorithm with heterogenous ECG databases[J]. J Electrocardiol, 2003, 36:145-150.
[15] Recommendations for measurement standards in quantitative electrocardiography[J]. Eur Heart J, 1985, 6(10):815-825.
[16] Willems J L, Arnaud P, Bemmel J H V, et al. A reference data base for multilead electrocardiographic computer measurement programs[J]. J Am Coll Cardiol, 1987, 10(6):1313-1321.
计量
- 文章访问数: 13
- HTML全文浏览量: 0
- PDF下载量: 3