An Efficient Kalman Noise Canceller for Cardiac Signal Analysis in Modern Telecardiology Systems

The monitoring of electrocardiography (ECG) in ambulatory conditions is an important task for achieving success in remote healthcare monitoring. In this paper, Kalman-based adaptive artifact cancellation structures, which are the hybrid versions of least-mean-square (LMS) algorithm variants, are pro...

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Bibliographic Details
Main Authors: Asiya Sulthana, Md. Zia Ur Rahman, Shafi Shahsavar Mirza
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8386745/