Wavelet Based ECG Denoising by Employing Cauchy Distribution at Subbands

摘要：

This paper presents a new ECG denoising method based on the modeling of wavelet coefficients in each subband with a Cauchy probability density function. By using this statistical model, thresholds are estimated at each level on wavelet coefficients for noise reduction. We evaluated this approach on offline single lead noisy ECG records from Cardiovascular Research Centre of University of Glasgow. Results show that our proposed technique provides better performance factors i.e. signal-to-noise ratio (SNR) and percentage of zeros (PZ).

关键词： Cauchy Distribution Function Discrete Wavelet Transform Probability Density Function (PDF)

作者: Ramchandra Manthalkar Shubhada Ardhapurkar Suhas Gajre

作者单位: Department of Electronics and Telecomm.Engineering, S.G.G.S.Institute of Engineering and Technology, Department of Electronics and Communication, M.I.T.College of Engineering,Aurangabad, MAHARASHTRA

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1718-1721

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）