TY - GEN
T1 - A wearable system for knee flexion/extension monitoring
T2 - 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020
AU - Resta, Paolo
AU - Lo Presti, Daniela
AU - Schena, Emiliano
AU - Massaroni, Carlo
AU - Formica, Domenico
AU - Kim, Taesung
AU - Shin, Donjoo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - Human gait is a significant health indicator used in a wide range of applications, including diagnosis, monitoring, rehabilitation, and sport. Among all the human joints movements, the knee flexion/extension is a crucial movement, and its evaluation may provide valuable information related to pathologies, walking disorders, to evaluate the efficiency of prescribed therapies and the rehabilitation of patients, and to improve performances of athletes. In this work, we designed, fabricated, and tested a wearable system (i.e., an instrumented knee brace) for monitoring knee movements under static and dynamic conditions. The system consists of a single fiber Bragg grating (FBG) sensor encapsulated in a soft and flexible polymer matrix in contact with the knee brace. The metrological characterization of two sensors (dimensions 50 mm × 30mm × 10mm and 40mm × 30mm × 10mm) has been performed by applying strains up to 2% which correspond to max length variations (ΔLMAX) of 0.76 mm and 0.55 mm for the big and the small sensors, respectively. Additionally, pilot trials have been carried to preliminary test the instrumented knee brace for monitoring flexion/extension movements during walking at different speeds (i.e., 3 km/h, 4 km/h, 5 km/h). Both the sensors showed an approximately linear response in the range of interest and sensitivities up to 3.944 nm-mm-1, The wearable system was able to monitor the number of gait cycles and to discriminate the knee flexion and extension movements during walking.
AB - Human gait is a significant health indicator used in a wide range of applications, including diagnosis, monitoring, rehabilitation, and sport. Among all the human joints movements, the knee flexion/extension is a crucial movement, and its evaluation may provide valuable information related to pathologies, walking disorders, to evaluate the efficiency of prescribed therapies and the rehabilitation of patients, and to improve performances of athletes. In this work, we designed, fabricated, and tested a wearable system (i.e., an instrumented knee brace) for monitoring knee movements under static and dynamic conditions. The system consists of a single fiber Bragg grating (FBG) sensor encapsulated in a soft and flexible polymer matrix in contact with the knee brace. The metrological characterization of two sensors (dimensions 50 mm × 30mm × 10mm and 40mm × 30mm × 10mm) has been performed by applying strains up to 2% which correspond to max length variations (ΔLMAX) of 0.76 mm and 0.55 mm for the big and the small sensors, respectively. Additionally, pilot trials have been carried to preliminary test the instrumented knee brace for monitoring flexion/extension movements during walking at different speeds (i.e., 3 km/h, 4 km/h, 5 km/h). Both the sensors showed an approximately linear response in the range of interest and sensitivities up to 3.944 nm-mm-1, The wearable system was able to monitor the number of gait cycles and to discriminate the knee flexion and extension movements during walking.
KW - fiber Bragg grating sensors
KW - flexible sensors
KW - Healthcare 4.0
KW - knee motion monitoring
KW - wearable system
UR - https://www.scopus.com/pages/publications/85088862420
U2 - 10.1109/MetroInd4.0IoT48571.2020.9138192
DO - 10.1109/MetroInd4.0IoT48571.2020.9138192
M3 - Conference contribution
AN - SCOPUS:85088862420
T3 - 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings
SP - 273
EP - 277
BT - 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 June 2020 through 5 June 2020
ER -