[1] RAJ S, RAY K C, SHANKAR O. Development of robust, fast and efficient QRS complex detector:a methodological review[J]. Australasian Physical and Engineering Sciences in Medicine, 2018, 41(3):581-600. [2] PAN J, TOMPKINS W J. A real-time QRS detection algorithm[J]. IEEE Transactions on Bio-Medical Engineering, 1985, BME-32(3):230-236. [3] LU X, PAN M, YU Y. QRS detection based on improved adaptive threshold[J]. Journal of Healthcare Engineering, 2018, 2018:Article No. 5694595. [4] SAHOO S, BISWAL P, DAS T, et al. De-noising of ECG signal and QRS detection using Hilbert transform and adaptive thresholding[J]. Procedia Technology, 2016, 25:68-75. [5] NAKAI Y, IZUMI S, NAKANO M, et al. Noise tolerant QRS detection using template matching with short-term autocorrelation[C]//Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Piscataway:IEEE, 2014:34-37. [6] SHIN J H, CHOI B H, LIM Y G, et al. Automatic ballistocardiogram (BCG) beat detection using a template matching approach[C]//Proceedings of the 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Piscataway:IEEE, 2008:1144-1146. [7] JENKAL W, LATIF R, TOUMANARI A, et al. Enhanced algorithm for QRS detection using discrete wavelet transform (DWT)[C]//Proceedings of the 27th International Conference on Microelectronics. Piscataway:IEEE, 2015:39-42. [8] MARTÍNEZ J P, ALMEIDA R, OLMOS S, et al. A wavelet-based ECG delineator:evaluation on standard databases[J]. IEEE Transactions on Biomedical Engineering, 2004, 51(4):570-581. [9] 李明星,李旭雯,魏鑫.心电信号的QRS波检测算法的研究[J].兵器装备工程学报,2018,39(9):177-175.(LI M X, LI X W, WEI X. A study on QRS detection algorithm of ECG signal[J]. Journal of Ordnance Equipment Engineering, 2018, 39(9):177-175. [10] BENITEZ D S, GAYDECKI P A, ZAIDI A, et al. A new QRS detection algorithm based on the Hilbert transform[C]//Proceedings of the Computers in Cardiology 2000. Piscataway:IEEE, 2000:379-382. [11] FEDOTOV A A, AKULOVA A S, AKULOV S A. Effective QRS-detector based on Hilbert transform and adaptive thresholding[C]//Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, IFMBE 57. Cham:Springer, 2016:140-144. [12] 李鸿强,苗长云,张龙宇,等.心电医疗监护物联网关键技术研究[J].计算机应用研究,2010,27(12):4600-4603.(LI H Q, MIAO C Y, ZHANG L Y, et al. Research on key technologies of ECG monitoring system based on Internet of things[J]. Application Research of Computers, 2010, 27(12):4600-4603.) [13] D'ALOIA M, LONGO A, RIZZI M. Noisy ECG signal analysis for automatic peak detection[J]. Information, 2019, 10(2):Article No. 35. [14] ŠARLIJA M, JURIŠIC F, POPOVIC S. A convolutional neural network based approach to QRS detection[C]//Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis. Piscataway:IEEE, 2017:121-125. [15] PAL S, MITRA M. Empirical mode decomposition based ECG enhancement and QRS detection[J]. Computers in Biology and Medicine, 2012, 42(1):83-92. [16] MANIKANDAN M S, SOMAN K P. A novel method for detecting R-peaks in ElectroCardioGram (ECG) signal[J]. Biomedical Signal Processing and Control, 2012, 7(2):118-128. [17] BURGUERA A. Fast QRS detection and ECG compression based on signal structural analysis[J]. IEEE Journal of Biomedical and Health Informatics, 2019, 23(1):123-131. [18] ELGENDI M, ESKOFIER B, DOKOS S, et al. Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems[J]. PLoS One, 2014, 9(1):Article No. e84018. [19] LUO S, JOHNSTON P. A review of electrocardiogram filtering[J]. Journal of Electrocardiology, 2010, 43(6):486-496. [20] THIAMCHOO N, PHUKPATTARANONT P. R peak detection algorithm based on continuous wavelet transform and Shannon energy[J]. ECTI Transactions on Computer and Information Technology, 2016, 10(2):167-175. [21] MOODY G B, MARK R G. The impact of the MIT-BIH arrhythmia database[J]. IEEE Engineering in Medicine and Biology Magazine, 2001, 20(3):45-50. [22] LAI D, ZHANG F, WANG C. A real-time QRS complex detection algorithm based on differential threshold method[C]//Proceedings of the 2015 IEEE International Conference on Digital Signal Processing. Piscataway:IEEE, 2015:129-133. [23] SHARMA L D, SUNKARIA R K. A robust QRS detection using novel pre-processing techniques and kurtosis based enhanced efficiency[J]. Measurement, 2016, 87:194-204. [24] 孙亚楠,吕可嘉,张瑞.一种新的心电信号R峰自动检测方法[J].西北大学学报(自然科学版),2018,48(1):16-23.(SUN Y N, LYU K X, ZHANG R. A novel automatic R peak detection method using ECG[J]. Journal of Northwest University (Natural Science Edition), 2018, 48(1):16-23.) |