Gait analysis is commonly performed in controlled environments. However, there is a growing interest in methods assessing motor performance in free-living conditions. Inertial measurement units (IMU) constitute a valid solution in the estimation of spatio-temporal gait parameters. However, performance of IMU-based methods is influenced by several factors and their validation in free-living conditions calls for a mobile gold standard as reference. To this end, the present study deals with the validation of a wearable multi-sensor system (INDIP) for digital gait assessment in free-living conditions. The INDIP integrates four magneto-inertial units, two distance sensors and two pressure insoles. Since its validation is on-going, preliminary outcomes obtained for two tasks from lab-based acquisitions on one healthy subject are presented and discussed. Results show low percentage errors (always <5%) and hopefully will be confirmed on more subjects and more complex tasks.
A novel multi-sensor system for gait assessment in real-world conditions: preliminary results / Salis, F.; Bertuletti, S.; Caruso, M.; Bonci, T.; Scott, K.; Rossanigo, R.; Della Croce, U.; Mazza, C.; Cereatti, A.. - (2020), pp. 472-475. ( 7th National Congress of Bioengineering, GNB 2020 ita 2020).
A novel multi-sensor system for gait assessment in real-world conditions: preliminary results
Salis F.;Bertuletti S.;Caruso M.;Bonci T.;Rossanigo R.;Della Croce U.;Cereatti A.
2020-01-01
Abstract
Gait analysis is commonly performed in controlled environments. However, there is a growing interest in methods assessing motor performance in free-living conditions. Inertial measurement units (IMU) constitute a valid solution in the estimation of spatio-temporal gait parameters. However, performance of IMU-based methods is influenced by several factors and their validation in free-living conditions calls for a mobile gold standard as reference. To this end, the present study deals with the validation of a wearable multi-sensor system (INDIP) for digital gait assessment in free-living conditions. The INDIP integrates four magneto-inertial units, two distance sensors and two pressure insoles. Since its validation is on-going, preliminary outcomes obtained for two tasks from lab-based acquisitions on one healthy subject are presented and discussed. Results show low percentage errors (always <5%) and hopefully will be confirmed on more subjects and more complex tasks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
