Hardware embedded system on a chip for the normal ECG recognition

Dimopoulos, AC; Pavlatos, C; Papakonstantinou, G

dc.contributor.author	Dimopoulos, AC	en
dc.contributor.author	Pavlatos, C	en
dc.contributor.author	Papakonstantinou, G	en
dc.date.accessioned	2014-03-01T02:51:43Z
dc.date.available	2014-03-01T02:51:43Z
dc.date.issued	2008	en
dc.identifier.issn	16800737	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35606
dc.subject	Attribute Grammars	en
dc.subject	ECG	en
dc.subject	FPGA	en
dc.subject	SoC	en
dc.subject.other	Attribute grammars	en
dc.subject.other	ECG	en
dc.subject.other	FPGA	en
dc.subject.other	Generic platforms	en
dc.subject.other	Measurement parameters	en
dc.subject.other	Parsing algorithm	en
dc.subject.other	SoC	en
dc.subject.other	Syntactic pattern recognition	en
dc.subject.other	System on a chip	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Context free grammars	en
dc.subject.other	Context sensitive grammars	en
dc.subject.other	Electrochromic devices	en
dc.subject.other	Embedded systems	en
dc.subject.other	Field programmable gate arrays (FPGA)	en
dc.subject.other	Formal languages	en
dc.subject.other	Pattern recognition	en
dc.subject.other	Physics	en
dc.subject.other	Programmable logic controllers	en
dc.subject.other	Reconfigurable hardware	en
dc.subject.other	Syntactics	en
dc.subject.other	Electrocardiography	en
dc.title	Hardware embedded system on a chip for the normal ECG recognition	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-69367-3-58	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-69367-3-58	en
heal.publicationDate	2008	en
heal.abstract	This paper proposes a highly efficient embedded system, implemented entirely in reconfigurable hardware, for the extraction of electrocardiogram (ECG) measurement parameters and the recognition of the normal ECG. The entire process takes place on an FPGA and is based on the syntactic pattern recognition approach. The underling model for this system is that of Attribute Grammars (AG), whose descriptive power allows the concurrent recognition and measurement of the input ECG. The proposed generic platform for syntactic pattern recognition applications, is using the fastest parallel Context Free Grammar parsing algorithm in the bibliography. © 2008 Springer-Verlag.	en
heal.journalName	IFMBE Proceedings	en
dc.identifier.doi	10.1007/978-3-540-69367-3-58	en
dc.identifier.volume	20 IFMBE	en
dc.identifier.spage	213	en
dc.identifier.epage	216	en