caa a22 4500 445304464 CHVBK 20180317142608.0 cr unu---uuuuu 170323e20100601xx s 000 0 eng 10.1007/s13246-010-0021-9 doi (NATIONALLICENCE)springer-10.1007/s13246-010-0021-9 Autonomous auscultation of the human heart employing a precordial electro-phonocardiogram and ensemble empirical mode decomposition [Elektronische Daten] [J. Botha, C. Scheffer, W. Lubbe, A. Doubell] The research presented in this paper serves to provide a tool to autonomously screen for cardiovascular disease in the rural areas of Africa. With this tool, cardiovascular disease can potentially be detected in its initial stages, which is essential for effective treatment. The autonomous auscultation system proposed here utilizes recorded heart sounds and electrocardiogram signals to automatically distinguish between normal and abnormal heart conditions. Patients that are identified as abnormal by the system can then be referred to a specialist consultant, which will save a lot of unnecessary referrals. In this study, heart sound and electrocardiogram signals were recorded with the prototype precordial electro-phonocardiogram device, as part of a clinical study to screen patients for cardiovascular disease. These volunteers consisted of 28 patients with a diagnosed cardiovascular disease and, for control purposes, 34 persons diagnosed with healthy hearts. The proposed system employs wavelets to first denoise the recorded signals, which is then followed by segmentation of heart sounds. Frequency spectrum information was extracted as diagnostic features from the heart sounds by means of ensemble empirical mode decomposition and auto regressive modelling. The respective features were then classified with an ensemble artificial neural network. The performance of the autonomous auscultation system used in concert with the precordial electro-phonocardiogram prototype showed a sensitivity of 82% and a specificity of 88%. These results demonstrate the potential benefit of the precordial electro-phonocardiogram device and the developed autonomous auscultation software as a screening tool in a rural healthcare environment where large numbers of patients are often cared for by a small number of inexperienced medical personnel. Australasian College of Physical Scientists and Engineers in Medicine, 2010 Auscultation nationallicence Neural network nationallicence Electronic stethoscope nationallicence Heart sound nationallicence Empirical mode decomposition nationallicence Botha J. Department of Mechanical and Mechatronic Engineering, Stellenbosch University, Private Bag X1, 7602, Matieland, South Africa aut Scheffer C. Department of Mechanical and Mechatronic Engineering, Stellenbosch University, Private Bag X1, 7602, Matieland, South Africa aut Lubbe W. Cardiology Unit, Department of Internal Medicine, Faculty of Health Sciences, Stellenbosch University, PO Box 19063, 7505, Tygerberg, South Africa aut Doubell A. Cardiology Unit, Department of Internal Medicine, Faculty of Health Sciences, Stellenbosch University, PO Box 19063, 7505, Tygerberg, South Africa aut Australasian Physical & Engineering Sciences in Medicine Springer Netherlands 33/2(2010-06-01), 171-183 0158-9938 33:2<171 2010 33 13246 https://doi.org/10.1007/s13246-010-0021-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13246-010-0021-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Botha J. Department of Mechanical and Mechatronic Engineering, Stellenbosch University, Private Bag X1, 7602, Matieland, South Africa aut NATIONALLICENCE 700 1- Scheffer C. Department of Mechanical and Mechatronic Engineering, Stellenbosch University, Private Bag X1, 7602, Matieland, South Africa aut NATIONALLICENCE 700 1- Lubbe W. Cardiology Unit, Department of Internal Medicine, Faculty of Health Sciences, Stellenbosch University, PO Box 19063, 7505, Tygerberg, South Africa aut NATIONALLICENCE 700 1- Doubell A. Cardiology Unit, Department of Internal Medicine, Faculty of Health Sciences, Stellenbosch University, PO Box 19063, 7505, Tygerberg, South Africa aut NATIONALLICENCE 773 0- Australasian Physical & Engineering Sciences in Medicine Springer Netherlands 33/2(2010-06-01), 171-183 0158-9938 33:2<171 2010 33 13246 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer