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Gait analysis and automatic gait event identification using accelerometers

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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 http://hdl.handle.net/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


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