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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