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Proceedings Paper

Detection of cardiac activity changes from human speech
Author(s): Jaromir Tovarek; Pavol Partila; Miroslav Voznak; Martin Mikulec; Miralem Mehic
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Paper Abstract

Impact of changes in blood pressure and pulse from human speech is disclosed in this article. The symptoms of increased physical activity are pulse, systolic and diastolic pressure. There are many methods of measuring and indicating these parameters. The measurements must be carried out using devices which are not used in everyday life. In most cases, the measurement of blood pressure and pulse following health problems or other adverse feelings. Nowadays, research teams are trying to design and implement modern methods in ordinary human activities. The main objective of the proposal is to reduce the delay between detecting the adverse pressure and to the mentioned warning signs and feelings. Common and frequent activity of man is speaking, while it is known that the function of the vocal tract can be affected by the change in heart activity. Therefore, it can be a useful parameter for detecting physiological changes. A method for detecting human physiological changes by speech processing and artificial neural network classification is described in this article. The pulse and blood pressure changes was induced by physical exercises in this experiment. The set of measured subjects was formed by ten healthy volunteers of both sexes. None of the subjects was a professional athlete. The process of the experiment was divided into phases before, during and after physical training. Pulse, systolic, diastolic pressure was measured and voice activity was recorded after each of them. The results of this experiment describe a method for detecting increased cardiac activity from human speech using artificial neural network.

Paper Details

Date Published: 20 May 2015
PDF: 7 pages
Proc. SPIE 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII, 94960V (20 May 2015); doi: 10.1117/12.2177282
Show Author Affiliations
Jaromir Tovarek, VSB Technical Univ. of Ostrava (Czech Republic)
Pavol Partila, VSB Technical Univ. of Ostrava (Czech Republic)
Miroslav Voznak, VSB Technical Univ. of Ostrava (Czech Republic)
Martin Mikulec, VSB Technical Univ. of Ostrava (Czech Republic)
Miralem Mehic, VSB Technical Univ. of Ostrava (Czech Republic)


Published in SPIE Proceedings Vol. 9496:
Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII
Harold H. Szu; Liyi Dai; Yufeng Zheng, Editor(s)

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