Sound recognition using dedicated microprocessor architecture

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