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Sound recognition using dedicated microprocessor architecture

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dc.contributor.author BARLEANU, Alexandru
dc.contributor.author AROTARITEI, Dragos
dc.date.accessioned 2019-10-29T08:34:44Z
dc.date.available 2019-10-29T08:34:44Z
dc.date.issued 2005
dc.identifier.citation BARLEANU, Alexandru, AROTARITEI, Dragos. Sound recognition using dedicated microprocessor architecture. In: Microelectronics and Computer Science: proc. of the 4th intern. conf., September 15-17, 2005. Chişinău, 2005, vol. 2, pp. 87-89. ISBN 9975-66-038-X. en_US
dc.identifier.isbn 9975-66-038-X
dc.identifier.uri http://repository.utm.md/handle/5014/5538
dc.description.abstract In this paper we present a novel approach for a healthcare monitoring system. The proposed system use a hierarchical monitoring of the patient health using wearable devices and a signal array PsoC embedded in a system architecture. Patterns are analyzed using filtering and wavelet decomposition. Abnormal situation are send using Internet communication card and TCP/IP stack that are part of the system architecture. Signal processing is made locally using wavelets and personalized statistical approach. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject lung sounds en_US
dc.subject e-health en_US
dc.subject wavelets en_US
dc.subject respiratory dysfunctions en_US
dc.title Sound recognition using dedicated microprocessor architecture en_US
dc.type Article en_US


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