DocumentCode :
3493607
Title :
ECG Signal De-noising with Signal Averaging and Filtering Algorithm
Author :
Gautam, Alka ; Lee, Young-Dong ; Chung, Wan-Young
Author_Institution :
Grad. Sch. of Design & IT, Dongseo Univ., Busan
Volume :
1
fYear :
2008
fDate :
11-13 Nov. 2008
Firstpage :
409
Lastpage :
415
Abstract :
This study uses the signal averaging and filtering method for ECG signal de-noising and R-wave detection with moving minimum slot and maximum point selecting method. Signal averaging and filtering method reduces random noise (major component of EMG noise) in ECG signal and also gives the comparatively good result for baseline wander noise cancellation. Signal to noise ratio (SNR) improves in filtered ECG signal, while signal shape is also remains undistorted. Comparative observation of Normal ECG and stress ECG (recorded from wearable ubiquitous sensor node) is made on basis of heart rate calculation and signal to noise ratio. We conclude that R-wave detection with moving minimum slot and maximum point selecting method and signal averaging and filtering method gives the comparatively good result without signal distortion.
Keywords :
electrocardiography; filtering theory; medical signal processing; random noise; signal denoising; ECG; R-wave detection; baseline wander noise cancellation; heart rate calculation; maximum point selecting method; minimum slot selecting method; random noise; signal averaging; signal denoising; signal filtering; Electrocardiography; Electromyography; Filtering algorithms; Noise cancellation; Noise reduction; Noise shaping; Shape; Signal denoising; Signal to noise ratio; Stress; Adaptive Filter; De-noising; ECG; R-wave detection; SNR caculation; Signal average;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
Type :
conf
DOI :
10.1109/ICCIT.2008.393
Filename :
4682061
Link To Document :
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