ECG Signal De-noising with Signal Averaging and Filtering Algorithm

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 comparative...

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Bibliographic Details
Published in2008 Third International Conference on Convergence and Hybrid Information Technology Vol. 1; pp. 409 - 415
Main Authors Gautam, A., Young-Dong Lee, Wan-Young Chung
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2008
Subjects
Adaptive Filter
De-noising
ECG
Electrocardiography
Electromyography
Filtering algorithms
Noise cancellation
Noise reduction
Noise shaping
R-wave detection
Shape
Signal average
Signal denoising
Signal to noise ratio
SNR caculation
Stress
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Summary: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.
ISBN:0769534074
9780769534077
DOI:10.1109/ICCIT.2008.393