Adaptive Noise Filter for Real-Time Stress ECG Signal Analysis
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Abstract
The stress Electrocardiogram (ECG) gives more efficient results for the diagnosis of cardiovascular diseases, which may not be apparent when the patients are at rest. However, the noise produced by the movement of the patient and the environment often contaminates the ECG signal. Motion artifact is the most prevalent and difficult type of interference to filter in stress test ECG. It corrupts the quality of the desired signal thus reducing the reliability of the stress test. In this work, we first describe a quantitative study of adaptive filtering for processing the stress ECG signals. The proposed method uses the motion information obtained from a 3-axis accelerometer as a noise reference signal for the adaptive filter and the optimal weight of the adaptive filter is adjusted by the Modified Error Data Normalized Step-Size (MEDNSS) algorithm. Finally, the performance of the proposed algorithm is tested on the stress ECG signal from the subject.
Keywords
stress ECG, adaptive filter, motion artifacts, accelerometer
Article Details
References
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[2] Michael H. C., Steven J. B., Michael J. S., Cynthia M. T., Thomas J. R., and Sidney C. S. - ACC/AHA Guidelines for Ambulatory Electrocardiography, Journal of the American College of Cardiology 34 (3) (1999) 913-948.
[3] Shafa-at A. S., Nauman R., Tahir Z. - Baseline Wander Removal From ECG Signal using State Space Recursive Least Squares (SSRLS) Adaptive Filter, 2nd
[4] Yan Z., Fugui L., Zhigang Z., Dandan L., Xiaoyan Z., Jingyuan W. - Studies on application of support vector machine in diagnose of coronary heart disease, 6th International Conference on Electromagnetic Field Problems and Applications, 2012.
[5] Vinod K. P. - Adaptive filtering for baseline wander removal in ECG, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010.
[6] Sung W. Y., Se D. M., Yong H. Y., Seungpyo L., Myoungho L. - Adaptive motion artifacts reduction using 3-axis accelerometer in E-textile ECG measurement system, J. Med. Syst. 32 (2) (2008) 101-106.
[7] Tong D. A., Bartels K. A., and Honeyager K. S. - Adaptive reduction of motion artifact in the electrocardiogram, Proceedings of the Second Joint EMBSBMES Conference, 2002, pp. 1403-1404.
[8] Mary Anne D. R., Luis G. S. - Adaptive noise cancelling of motion artifact in stress ECG signals using accelerometer, Proceedings of the Second Joint EMBSBMES Conference, 2002, pp. 1756-1757.
[9] Joonwan K., Alexander D. P. - Performance analysis of the adjusted step size NLMS algorithm, Proceedings of the 36th Southeastern Symposium on System Theory, 2004, pp. 467-471.
[10] Porr B, Howell L. - R-peak detector stress test with a new noisy ECG database reveals significant performance differences amongst popular detectors. BioRxiv 2019, pp. 1-2.