Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.26/57388 |
Summary: | Human gait is a complex motion that implies the movement of different parts of the body such as arms, legs and feet, being the functional human movements’ analysis indispensable for bio-mechanical diagnostic and treatment tool for clinics and rehabilitation services. During the rehabilitation process, walkers are frequently prescribed to improve the patient’s stability but can also be transformed into instruments for quantitative evaluation of rehabilitation progress by embedding sensors to capture the motion characteristics. In this work, a practical approach concerning the possibilities to use microwave Doppler radars embedded in four wheels walkers for gait capture is presented. The signals acquired from the sensors are processed using time-frequency transform such as STFT. A set of gait characteristics, such as gait velocity and stride rate, are extracted based on wavelet signal processing, STFT spectrogram and moving average filtering. A set of spectrogram features is calculated to discriminate between normal and abnormal gait. |
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Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in WalkersGaitRehabilitationMicrowave Doppler radarWireless instrumentationGait analysisHuman gait is a complex motion that implies the movement of different parts of the body such as arms, legs and feet, being the functional human movements’ analysis indispensable for bio-mechanical diagnostic and treatment tool for clinics and rehabilitation services. During the rehabilitation process, walkers are frequently prescribed to improve the patient’s stability but can also be transformed into instruments for quantitative evaluation of rehabilitation progress by embedding sensors to capture the motion characteristics. In this work, a practical approach concerning the possibilities to use microwave Doppler radars embedded in four wheels walkers for gait capture is presented. The signals acquired from the sensors are processed using time-frequency transform such as STFT. A set of gait characteristics, such as gait velocity and stride rate, are extracted based on wavelet signal processing, STFT spectrogram and moving average filtering. A set of spectrogram features is calculated to discriminate between normal and abnormal gait.Repositório ComumPostolache, OctavianDias Pereira, José Miguel CostaViegas, VítorGirão, Pedro Silva2025-03-21T12:00:24Z2024-102024-10-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.26/57388enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-02T16:34:29Zoai:comum.rcaap.pt:10400.26/57388Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:54:23.819311Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers |
title |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers |
spellingShingle |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers Postolache, Octavian Gait Rehabilitation Microwave Doppler radar Wireless instrumentation Gait analysis |
title_short |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers |
title_full |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers |
title_fullStr |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers |
title_full_unstemmed |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers |
title_sort |
Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers |
author |
Postolache, Octavian |
author_facet |
Postolache, Octavian Dias Pereira, José Miguel Costa Viegas, Vítor Girão, Pedro Silva |
author_role |
author |
author2 |
Dias Pereira, José Miguel Costa Viegas, Vítor Girão, Pedro Silva |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Postolache, Octavian Dias Pereira, José Miguel Costa Viegas, Vítor Girão, Pedro Silva |
dc.subject.por.fl_str_mv |
Gait Rehabilitation Microwave Doppler radar Wireless instrumentation Gait analysis |
topic |
Gait Rehabilitation Microwave Doppler radar Wireless instrumentation Gait analysis |
description |
Human gait is a complex motion that implies the movement of different parts of the body such as arms, legs and feet, being the functional human movements’ analysis indispensable for bio-mechanical diagnostic and treatment tool for clinics and rehabilitation services. During the rehabilitation process, walkers are frequently prescribed to improve the patient’s stability but can also be transformed into instruments for quantitative evaluation of rehabilitation progress by embedding sensors to capture the motion characteristics. In this work, a practical approach concerning the possibilities to use microwave Doppler radars embedded in four wheels walkers for gait capture is presented. The signals acquired from the sensors are processed using time-frequency transform such as STFT. A set of gait characteristics, such as gait velocity and stride rate, are extracted based on wavelet signal processing, STFT spectrogram and moving average filtering. A set of spectrogram features is calculated to discriminate between normal and abnormal gait. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-10 2024-10-01T00:00:00Z 2025-03-21T12:00:24Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/57388 |
url |
http://hdl.handle.net/10400.26/57388 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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1833602823160332288 |