Gait rehabilitation Assessment Based on Microwave Doppler Radars Embedded in Walkers

Bibliographic Details
Main Author: Postolache, Octavian
Publication Date: 2024
Other Authors: Dias Pereira, José Miguel Costa, Viegas, Vítor, Girão, Pedro Silva
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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spelling 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
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url http://hdl.handle.net/10400.26/57388
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