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A wearable IoT-based system for gait cycle duration and symmetry assessment in lower-limb amputees

2025-07Conference paper Embargoed access
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datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorAlves, Bruna
dc.contributor.authorFantoni, Alessandro
dc.contributor.authorMatos, José Pedro
dc.contributor.authorCosta, João
dc.date.accessioned2025-09-02T13:47:55Z
dc.date.available2025-09-02T13:47:55Z
dc.date.issued2025-07
dc.descriptionFundação para a Ciência e Tecnologia (FCT), Center of Technology and Systems (CTS) UIDB/00066/2020 e UIDP/00066/2020, e IPL/IDI&CA2024/OPAPIC2D_ISEL.
dc.description.abstractThis study presents the development of a wearable sensor designed to assess gait asymmetry. The device uses the TF mini-S LiDAR sensor to detect mid-stance and calculates the gait cycle duration to assess symmetry. The Arduino Nano RP2040 Connect microcontroller was chosen for its compact size, real-time data processing capabilities, and seamless integration with the Arduino Cloud, facilitating remote monitoring and data storage. The TF mini-S LiDAR was found to be the most suitable sensor due to its field of view and high frame rate, allowing accurate mid-stance detection. The final device combines portability, high data update rates, and precise detection, making it an effective tool for monitoring gait rehabilitation, including LLA. This wearable sensor contributes to improving prosthetic adaptation and offers healthcare systems a reliable means of monitoring patient progress.eng
dc.identifier.citationAlves B, Fantoni A, Matos JP, Costa J. A wearable IoT-based system for gait cycle duration and symmetry assessment in lower-limb amputees. In: 9th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE), Caparica / Lisbon (Portugal), July 4, 2025. p. 121-6.
dc.identifier.doi10.1109/yef-ece66503.2025.11117464
dc.identifier.urihttp://hdl.handle.net/10400.21/22092
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/11117464
dc.relation.ispartof2025 9th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGait analysis
dc.subjectGait cycle duration
dc.subjectGait symmetry
dc.subjectWearable sensor
dc.subjectLiDAR
dc.subjectArduino
dc.subjectProsthesis evaluation
dc.subjectRehabilitation
dc.subjectInternet of Things
dc.subjectIoT
dc.subjectLower limb amputee
dc.subjectLower limb amputation
dc.subjectProsthesis
dc.subjectBiomedical monitoring
dc.subjectProsthetics
dc.subjectIPL/IDI&CA2024/OPAPIC2D_ISEL
dc.titleA wearable IoT-based system for gait cycle duration and symmetry assessment in lower-limb amputeeseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2025-07
oaire.citation.conferencePlaceCosta da Caparica, Portugal
oaire.citation.endPage126
oaire.citation.startPage121
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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