Efficient implementation of biomedical hardware using open source descriptions and behavioral synthesis

Economakos, G

dc.contributor.author	Economakos, G	en
dc.date.accessioned	2014-03-01T02:45:15Z
dc.date.available	2014-03-01T02:45:15Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32227
dc.subject	Behavioral Synthesis	en
dc.subject	Design Quality	en
dc.subject	Detection Algorithm	en
dc.subject	Efficient Implementation	en
dc.subject	Handheld Device	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	Open Source	en
dc.subject	Performance Improvement	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	Efficient implementation	en
dc.subject.other	Hand held device	en
dc.subject.other	Hardware synthesis	en
dc.subject.other	Low-power consumption	en
dc.subject.other	Medical diagnostics	en
dc.subject.other	Open sources	en
dc.subject.other	Open-source code	en
dc.subject.other	Performance improvements	en
dc.subject.other	QRS detection algorithms	en
dc.subject.other	Time-to-market	en
dc.subject.other	Multiobjective optimization	en
dc.subject.other	Bioinformatics	en
dc.title	Efficient implementation of biomedical hardware using open source descriptions and behavioral synthesis	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696771	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696771	en
heal.identifier.secondary	4696771	en
heal.publicationDate	2008	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, open source code of a QRS detection algorithm is implemented in hardware using 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.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696771	en