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dc.contributor.authorTorrent Poch, Marc
dc.contributor.authorBourke, Alan
dc.contributor.authorLlanas Parra, Francesc Xavier
dc.contributor.authorCatalà Mallofré, Andreu
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2010-10-22T10:14:05Z
dc.date.available2010-10-22T10:14:05Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationTorrent, M. [et al.]. Ambulatory mobility characterization using body inertial system: an application to fall detection. A: International Work-Conference on Artificial Neural Networks. "10th International Work-Conference on Artificial Neural Networks". Salamanca: Springer Verlag, 2009, p. 1129-1136.
dc.identifier.isbn978-3-642-02477-1
dc.identifier.urihttp://hdl.handle.net/2117/9919
dc.description.abstractThe aim of this paper is to study the use of a prototype of wearable device for long term monitoring of gait and balance using inertial sensors. First, it is focused on the design of the device that can be used all day during the patient daily life activities, because it is small, usable and non invasive. Secondly, we present the system calibration to ensure the quality of the sensors data. Afterwodrs, we focus in the experimental methodology for data harvest from extensive types of falls. Finally a statistical analysis allows us to determine the discriminant information to detect falls.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherSpringer Verlag
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
dc.subject.lcshBiomedical applications of biotechnology
dc.subject.lcshBiotechnology
dc.subject.lcshFalls (Accidents) in old age--Prevention
dc.subject.lcshDetectors
dc.titleAmbulatory mobility characterization using body inertial system: an application to fall detection
dc.typeConference report
dc.subject.lemacCaigudes (Accidents) en la vellesa
dc.subject.lemacDetectors
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac3264725
dc.description.versionPostprint (author’s final draft)
local.citation.authorTorrent, M.; Bourke, A.; Llanas, F.; Català, A.
local.citation.contributorInternational Work-Conference on Artificial Neural Networks
local.citation.pubplaceSalamanca
local.citation.publicationName10th International Work-Conference on Artificial Neural Networks
local.citation.startingPage1129
local.citation.endingPage1136


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