Title :
Wavelet-based adaptive denoising of phonocardiographic records
Author_Institution :
Dept. of Control Eng. & Inf. Technol., Budapest Univ. of Technol. & Econ., Hungary
Abstract :
The various noise components make the diagnostic evaluation of phonocardiographic records difficult or in some cases even impossible. This paper presents a novel wavelet-based denoising method using two-channel signal recording and an adaptive cross-channel coefficient thresholding technique. The qualitative evaluation of the denoising performance has shown that the proposed method cancels noises more effectively than the other examined techniques. The introduced method can be used as preprocessor stage in all fields of phonocardiography, including the recording of fetal heart sounds on the maternal abdominal surface.
Keywords :
acoustic signal processing; adaptive signal processing; bioacoustics; cardiology; interference suppression; medical signal processing; obstetrics; signal reconstruction; wavelet transforms; adaptive cross-channel coefficient thresholding; auscultation; electronic stethoscope; fetal heart sounds; heart sounds; maternal abdominal surface; phonocardiographic records; preprocessor stage; qualitative evaluation; signal reconstruction; two-channel signal recording; wavelet-based adaptive denoising; Abdomen; Acoustic noise; Acoustic signal detection; Band pass filters; Heart; Microphones; Noise cancellation; Noise reduction; Stethoscope; Working environment noise;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020582
