Phase-Locked Loop Based Cancellation of ECG Power Line Interference

doi:10.3969/j.issn.1673-5188.2018.01.008

ZTE Communications ›› 2018, Vol. 16 ›› Issue (1): 47-51.DOI: 10.3969/j.issn.1673-5188.2018.01.008

收稿日期:2017-07-30 出版日期:2018-02-25 发布日期:2020-03-16

Phase-Locked Loop Based Cancellation of ECG Power Line Interference

LI Taihao^1,², ZHOU Jianshe¹, LIU Shupeng³, SHI Jinsheng¹, REN Fuji⁴

1. Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China
2. Flatley Discovery Lab, Boston 02129, USA
3. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
4. Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 7708506, Japan

Received:2017-07-30 Online:2018-02-25 Published:2020-03-16
About author:LI Taihao (litaihao@heartdynamic.cn) received the M.S. and Ph.D. degrees in information system engineering from University of Tokushima, Japan in 2003 and 2006, respectively. During 2006-2011, he was a postdoc researcher at Harvard University, USA. He is now a professor with Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, China. His research interests include affective computing, natural language processing, and artificial intelligence.|ZHOU Jianshe (zhoujianshe@solcnu.net) is a board member of Chinese Linguistics Association, a director member of Expert Committee of the Linguistics Committee of Beijing, and the deputy director of Beijing Linguistics Association. He is the vice president of Capital Normal University, China and a professor with Beijing Advanced Innovation Center for Imaging Technology there. His research interests include linguistics, neuroscience, and algorithms.|LIU Shupeng (liusp@i.shu.edu.cn) received his Ph.D. degree in 2007 from Shanghai Jiaotong University, China. He is an associate professor with School of Communications and Information Engineering, Shanghai University, China. His research interests include signal processing, Raman spectra, and image processing.|SHI Jinsheng (shijsh@aliyun.com) received his Ph.d. degree from Nankai University, China. He is a professor at Capital Normal University, China. His research interests include linguistics, affective computing.|REN Fuji (ren@is.tokushima-u.ac.jp) received his B.E. and M.E. degrees from Beijing University of Posts and Telecommunications, China in 1982 and 1985, respectively. He received his Ph.D. degree in 1991 from Hokkaido University, Japan. He is a professor at the Faculty of Engineering, the University of Tokushima, Japan. His research interests include natural language processing, affective computing, artificial intelligence, and language understanding.

摘要/Abstract

Abstract:

Power line (PL) interference is one significant artifact in electrocardiography (ECG) that needs to be reduced to ensure accurate recording of cardiac signals. Because PL interference is non-stationary and has varying frequency, phase, and amplitude in ECG measurement, adaptive techniques are often necessary to track and cancel the interference. In this paper we present a phase-locked loop (PLL)-based adaptive filter to cancel PL interference. The PLL obtains the reference signal that is fed into the adaptive filter to remove the PL interference at the central frequency of 50 Hz. It is found that the technique can effectively cancel PL interference in real ECG signals and, when compared with some existing techniques such as least mean squares (LMS) adaptive filter, the new technique produces better results in terms of signal-to-interference ratio (SIR).

Key words: phase-locked loop, ECG, adaptive filter, power line cancellation

. [J]. ZTE Communications, 2018, 16(1): 47-51.

LI Taihao, ZHOU Jianshe, LIU Shupeng, SHI Jinsheng, REN Fuji. Phase-Locked Loop Based Cancellation of ECG Power Line Interference[J]. ZTE Communications, 2018, 16(1): 47-51.

图/表 8

Figure 1. Principle of adaptive noise cancellation.

Figure 2. The cancellation scheme of 50 Hz power line interference.

Figure 3. The proposed model.

Figure 4. The noisy ECG signal.

Figure 5. The proposed method.

Figure 6. Tracking performance(Δf/f=8%).

Table 1 Performance comparison at different SIR in

SIR _in(dB)	N	-20	0	20
SIR _out (dB)	AF	35.02	35.02	35.02
SIR _out (dB)	PLL-based AF	25.87	29.47	30.07

Table 2 Performance comparison at different frequencies (SIR in = 0 dB)

Fixed SIR_in (dB)	SIR_out (dB)
Δf/f	0.1%	1%	10%
AF	20.11	2.7	-0.92
PLL-based AF	28.16	28.59	31.42

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Phase-Locked Loop Based Cancellation of ECG Power Line Interference

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