Efficient and Simplified Adaptive Noise Cancelers for ECG Sensor Based Remote Health Monitoring

• Published in: IEEE sensors journal Vol. 12; no. 3; pp. 566 - 573
• Main Authors: Rahman, M. Z. U., Shaik, R. A., Reddy, D. V. R. K.
• Format: Journal Article
• Language: English
• Published: IEEE 01.03.2012
• Subjects: Adaptive filtering; Biomedical telemetry; Computational complexity; Convergence; electrocardiographic (ECG); Electrocardiography; least mean square (LMS) algorithm; Least squares approximation; Noise; noise cancellation; Signal processing algorithms; telecardiology

In this paper, several simple and efficient sign and error nonlinearity-based adaptive filters, which are computationally superior having multiplier free weight update loops are used for cancellation of noise in electrocardiographic (ECG) signals. The proposed implementation is suitable for applicat...