Autor(es):
Alves, Bruna ; Fantoni, Alessandro ; Matos, José Pedro ; Costa, João
Data: 2025
Identificador Persistente: http://hdl.handle.net/10400.21/22092
Origem: Repositório Científico do Instituto Politécnico de Lisboa
Assunto(s): Gait analysis; Gait cycle duration; Gait symmetry; Wearable sensor; LiDAR; Arduino; Prosthesis evaluation; Rehabilitation; Internet of Things; IoT; Lower limb amputee; Lower limb amputation; Prosthesis; Biomedical monitoring; Prosthetics; IPL/IDI&CA2024/OPAPIC2D_ISEL
Descrição
This 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.
