Architectural exploration in biomedical hardware design using a novel behavioral synthesis methodology

Economakos, G

dc.contributor.author	Economakos, G	en
dc.date.accessioned	2014-03-01T02:45:58Z
dc.date.available	2014-03-01T02:45:58Z
dc.date.issued	2009	en
dc.identifier.issn	22195491	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32492
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84863744004&partnerID=40&md5=35e03b5cbee493ef5ad33ba185edb617	en
dc.relation.uri	http://www.eurasip.org/proceedings/eusipco/eusipco2009/contents/papers/1569192680.pdf	en
dc.subject	Behavioral Synthesis	en
dc.subject	Design Quality	en
dc.subject	Detection Algorithm	en
dc.subject	Handheld Device	en
dc.subject	Hardware Design	en
dc.subject	Hardware Synthesis	en
dc.subject	High Performance	en
dc.subject	Low Power Consumption	en
dc.subject	Multi Objective Optimization	en
dc.subject	Performance Improvement	en
dc.subject	Rapid Prototyping	en
dc.subject	Time To Market	en
dc.subject.other	Behavioral synthesis	en
dc.subject.other	Component count	en
dc.subject.other	Design Quality	en
dc.subject.other	Design time	en
dc.subject.other	Diagnostic device	en
dc.subject.other	Hand held device	en
dc.subject.other	Hardware design	en
dc.subject.other	Hardware implementations	en
dc.subject.other	Hardware synthesis	en
dc.subject.other	Low-power consumption	en
dc.subject.other	Medical diagnostics	en
dc.subject.other	Multi objective optimizations (MOO)	en
dc.subject.other	Performance improvements	en
dc.subject.other	Processing solutions	en
dc.subject.other	QRS detection algorithms	en
dc.subject.other	Time-to-market	en
dc.subject.other	Multiobjective optimization	en
dc.subject.other	Rapid prototyping	en
dc.subject.other	Signal processing	en
dc.subject.other	Hardware	en
dc.title	Architectural exploration in biomedical hardware design using a novel behavioral synthesis methodology	en
heal.type	conferenceItem	en
heal.publicationDate	2009	en
heal.abstract	Medical diagnostics are changing rapidly, aided by a new generation of portable equipment and handheld devices that can be carried to the patient's bedside. Processing solutions for such equipment must offer high performance, low power consumption and also, minimize board space and component counts. Such a multi-objective optimization can be performed with behavioral hardware synthesis, offering design quality with significantly reduced design time. In this paper, an architectural exploration of the hardware implementation of a known QRS detection algorithm is performed, following a rapid prototyping approach offered by an advanced behavioral synthesis framework. Experimental results show that with this approach performance improvements are introduced with a fraction of design time, reducing dramatically time-to-market for modern diagnostic devices. © EURASIP, 2009.	en
heal.journalName	European Signal Processing Conference	en
dc.identifier.spage	983	en
dc.identifier.epage	987	en