Estimation of Temporal Gait Events from a Single Accelerometer Through the Scale-Space Filtering Idea.
The purpose of this paper is to develop an accelerometry system capable of performing gait event demarcation and calculation of temporal parameters using a single waist-mounted device. Particularly, a mobile phone positioned over the L2 vertebra is used to acquire trunk accelerations during walking....
| Publicado en: | Journal of Medical Systems Vol. 40; no. 12; pp. 1 - 11 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Dec2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118584397&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118584397 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Dec2016 vid: 40 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118584397 118584397 118584397 10.1007/s10916-016-0612-4 118584397 ppf: 1 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Estimation of Temporal Gait Events from a Single Accelerometer Through the Scale-Space Filtering Idea. aug: au: González, Iván Fontecha, Jesús Hervás, Ramón Bravo, José affil: University of Castilla-La Mancha, Esc. Sup. de Informática , Paseo de la Universidad 4 13071 Ciudad Real Spain sug: subj: Gait Analysis Methods Accelerometers Smartphone Human Algorithms Female Male Aged, 80 and Over Adult Funding Source Clinical Assessment Tools Frail Elderly Accidental Falls Aged, 80 & over Adult: 19-44 years Female Male ab: The purpose of this paper is to develop an accelerometry system capable of performing gait event demarcation and calculation of temporal parameters using a single waist-mounted device. Particularly, a mobile phone positioned over the L2 vertebra is used to acquire trunk accelerations during walking. Signals from the acceleration magnitude and the vertical acceleration are smoothed through different filters. Cut-off points between filtered signals as a result of convolving with varying levels of Gaussian filters and other robust features against temporal variation and noise are used to identify peaks that correspond to gait events. Five pre-frail older adults and five young healthy adults were recruited in an experiment. Cadence, step/stride time, step/stride CV, step asymmetry and percentages of the stance/swing and single/double support phases, among the two groups of different mobility were quantified by the system. pubtype: Academic Journal doctype: equations & formulas research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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