Title
ECG Noise Cancellation Based on Grey Spectral Noise Estimation.
Abstract
In recent years, wearable devices have been popularly applied in the health care field. The electrocardiogram (ECG) is the most used signal. However, the ECG is measured under a body-motion condition, which is easily coupled with some noise, like as power line noise (PLn) and electromyogram (EMG). This paper presents a grey spectral noise cancellation (GSNC) scheme for electrocardiogram (ECG) signals where two-stage discrimination is employed with the empirical mode decomposition (EMD), the ensemble empirical mode decomposition (EEMD) and the grey spectral noise estimation (GSNE). In the first stage of the proposed GSNC scheme, the input ECG signal is decomposed by the EMD to obtain a set of intrinsic mode functions (IMFs). Then, the noise energies of IMFs are estimated by the GSNE. When an IMF is considered as noisy one, it is forwarded to the second stage for further check. In the second stage, the suspicious IMFs are reconstructed and decomposed by the EEMD. Then the IMFs are discriminated with a threshold. If the IMF is considered as noisy, it is discarded in the reconstruction process of the ECG signal. The proposed GSNC scheme is justified by forty-three ECG signal datasets from the MIT-BIH cardiac arrhythmia database where the PLn and EMG noise are under consideration. The results indicate that the proposed GSNC scheme outperforms the traditional EMD and EEMD based noise cancellation schemes in the given datasets.
Year
DOI
Venue
2019
10.3390/s19040798
SENSORS
Keywords
Field
DocType
ECG noise cancellation,power line noise,electromyogram noise,empirical mode decomposition,ensemble empirical mode decomposition,grey model,grey spectral noise estimation
Pattern recognition,Electronic engineering,Artificial intelligence,Active noise control,Engineering,Power line noise,Hilbert–Huang transform
Journal
Volume
Issue
ISSN
19
4
1424-8220
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Shing-Hong Liu19718.03
Cheng-Hsiung Hsieh2319.79
Wenxi Chen32211.15
Tan-Hsu Tan42110.28