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The major challenge in phonocardiography and heart sound analysis is the involvement of environments with adverse effects such as noise, distortion and multiple sources. Methods existing in literature which address the above said problem have their own limitations and lacunae. The objective of this research work is to investigate and develop noise estimation, noise reduction, segmentation and classification algorithms for Phonocardiograms, so as to improve the performance over the existing heart sound processing methods in literature.

Produktbeschreibung
The major challenge in phonocardiography and heart sound analysis is the involvement of environments with adverse effects such as noise, distortion and multiple sources. Methods existing in literature which address the above said problem have their own limitations and lacunae. The objective of this research work is to investigate and develop noise estimation, noise reduction, segmentation and classification algorithms for Phonocardiograms, so as to improve the performance over the existing heart sound processing methods in literature.
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Autorenporträt
Vishwanath Madhava Shervegar received the B.E. degree in Electronics and Communication Engineering from Manipal Academy of Higher Education, Manipal, India, the M.Tech. from Manipal Academy of Higher Education, Manipal, India and Ph.D. degree in Electrical Engineering from Visvesvaraya Technological University, Belgaum, India.