Quality improvement of ambulatory electrocardiographic (ECG) signals is an important subject and crucial in computer aided diagnosis and monitoring. However, the poor quality of the signals necessitates signal enhancements. Hence, in this paper, three adaptive filter structures are presented to eliminate the diverse forms of noise. The performance of each technique 18 thoroughly investigated by simulated signals as well as signals obtained from human subjects. A two stage filter consisting of an adaptive noise cancellar and adaptive recurrent filter has been found to reduce efficiently the various types of noise while the characteristics of the relevant ECG signal is little affected.
Abou-Chadi, F. E. (2021). 'Adaptive Enhacement of Ambulatory Electrocardiograms.', MEJ- Mansoura Engineering Journal, 19(4), pp. 38-50. doi: 10.21608/bfemu.2021.163733
VANCOUVER
Abou-Chadi, F. E. Adaptive Enhacement of Ambulatory Electrocardiograms.. MEJ- Mansoura Engineering Journal, 2021; 19(4): 38-50. doi: 10.21608/bfemu.2021.163733
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