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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Главные авторы:	Asiya Sulthana, Md. Zia Ur Rahman, Shafi Shahsavar Mirza
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2018-01-01
Серии:	IEEE Access
Предметы:	Adaptive noise cancellers artifacts convergence electrocardiography Kalman filter telecardiology
Online-ссылка:	https://ieeexplore.ieee.org/document/8386745/
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