dc.creator | Chidean, Mihaela I. | es |
dc.creator | Barquero Pérez, Óscar | es |
dc.creator | Goya Esteban, Rebeca | es |
dc.creator | Sánchez Sixto, Alberto | es |
dc.creator | Cruz Torres, Blanca de la | es |
dc.creator | Naranjo Orellana, Jose | es |
dc.creator | Sarabia Cachadiña, Elena | es |
dc.creator | Caamaño, Antonio J. | es |
dc.date.accessioned | 2024-06-03T14:12:40Z | |
dc.date.available | 2024-06-03T14:12:40Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Chidean, M.I., Barquero Pérez, Ó., Goya Esteban, R., Sánchez Sixto, A., Cruz Torres, B.d.l., Naranjo Orellana, J.,...,Caamaño, A.J. (2018). Full Band Spectra Analysis of Gait Acceleration Signals for Peripheral Arterial Disease Patients. Frontiers in Phisiology, 9 (1061). https://doi.org/10.3389/fphys.2018.01061. | |
dc.identifier.issn | 1664-042X | es |
dc.identifier.uri | https://hdl.handle.net/11441/159623 | |
dc.description.abstract | Peripheral arterial disease (PAD) is an artherosclerotic occlusive disorder of distal arteries,
which can give rise to the intermittent claudication (IC) phenomenon, i.e., limb pain
and necessity to stop. PAD patients with IC have altered their gait, increasing the
fall risk. Several gait analysis works have studied acceleration signals (from sensors)
to characterize the gait. One common technique is spectral analysis. However, this
approach mainly uses dominant frequency (fd) to characterize gait patterns, and in a
narrow spectral band, disregarding the full spectra information. We propose to use a
full band spectral analysis (up to 15 Hz) and the fundamental frequency (f0) in order to
completely characterize gait for both control subjects and PAD patients. Acceleration gait
signals were recorded using an acquisition equipment consisting of four wireless sensor
nodes located at ankle and hip height on both sides. Subjects had to walk, free-fashion,
up to 10 min. The analysis of the periodicity of the gait acceleration signals, showed
that f0 is statistically higher (p < 0.05) in control subjects (0.9743 ± 0.0716) than in PAD
patients (0.8748 ± 0.0438). Moreover, the spectral envelope showed that, in controls,
the power spectral density distribution is higher than in PAD patients, and that the power
concentration is hither around the fd. In conclusion, full spectra analysis allowed to better
characterize gait in PAD patients than classical spectral analysis. It allowed to better
discriminate PAD patients and control subjects, and it also showed promising results to
assess severity of PAD. | es |
dc.format | application/pdf | es |
dc.format.extent | 8 p. | es |
dc.language.iso | eng | es |
dc.publisher | Frontiers Media S.A. | es |
dc.relation.ispartof | Frontiers in Phisiology, 9 (1061). | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Peripheral arterial disease | es |
dc.subject | Gait | es |
dc.subject | Full spectral | es |
dc.subject | Fundamental frequency | es |
dc.subject | Spectral envelope | es |
dc.title | Full Band Spectra Analysis of Gait Acceleration Signals for Peripheral Arterial Disease Patients | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Fisioterapia | es |
dc.relation.publisherversion | https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2018.01061/full | es |
dc.identifier.doi | 10.3389/fphys.2018.01061 | es |
dc.journaltitle | Frontiers in Phisiology | es |
dc.publication.volumen | 9 | es |
dc.publication.issue | 1061 | es |