Title :
ECG signal denoising using noise invalidation
Author :
Nikvand, N. ; Rafsanjani, H. Bagherzadeh ; Khalilzadeh, M.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
This paper presents an ECG denoising scheme based on the previously introduced noise invalidation method. The method provides an adaptive data dependent threshold which can be used to denoise ECG signals in an orthogonal basis of choice, by discarding coefficients that are smaller than the proposed threshold. Performance of the noise invalidation method is evaluated using mean square error by denoising a set of ECG signals corrupted by various types of noise, which usually affect ECG signal quality in practice.
Keywords :
electrocardiography; mean square error methods; medical signal processing; noise; signal denoising; ECG denoising scheme; ECG signal denoising; mean square error method; noise invalidation method; AWGN; Artificial neural networks; Databases; Electrocardiography; Filtering; Adaptive Thresholding; Denoising; ECG; Wavelet Transform;
Conference_Titel :
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
Conference_Location :
Isfahan
Print_ISBN :
978-1-4244-7483-7
DOI :
10.1109/ICBME.2010.5704917
