Gait analysis and automatic gait event identification using accelerometers

Zdragkas, GI; Avaritsiotis, JN

dc.contributor.author	Zdragkas, GI	en
dc.contributor.author	Avaritsiotis, JN	en
dc.date.accessioned	2014-03-01T02:45:17Z
dc.date.available	2014-03-01T02:45:17Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32258
dc.subject	Data Analysis	en
dc.subject	Gait Analysis	en
dc.subject	Signal Processing	en
dc.subject	Real Time	en
dc.subject.other	Acceleration signals	en
dc.subject.other	Data analysis	en
dc.subject.other	Event identification	en
dc.subject.other	Footstep detection	en
dc.subject.other	Real time	en
dc.subject.other	Three axis accelerometers	en
dc.subject.other	Bioinformatics	en
dc.subject.other	Signal processing	en
dc.subject.other	Accelerometers	en
dc.title	Gait analysis and automatic gait event identification using accelerometers	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696843	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696843	en
heal.identifier.secondary	4696843	en
heal.publicationDate	2008	en
heal.abstract	In this paper a method for footstep detection and gait event identification is presented. A three-axis accelerometer can be mounted on someone's foot to record the acceleration signals produced by their gait. The data can be analysed in real time or after a period of time to identify the gait events and their respective acceleration values. Data analysis consists of signal processing in order to point out some characteristics of the signals. Furthermore an algorithm is proposed for the automatic gait event identification based on these signals.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696843	en