This paper reports the architecture of a low-cost smart crutches system for mobile health applications. The prototype is based on a set of sensorized crutches connected to a custom Android application. Crutches were instrumented with a 6-axis inertial measurement unit, a uniaxial load cell, WiFi connectivity, and a microcontroller for data collection and processing. Crutch orientation and applied force were calibrated with a motion capture system and a force platform. Data are processed and visualized in real-time on the Android smartphone and are stored on the local memory for further offline analysis. The prototype's architecture is reported along with the post-calibration accuracy for estimating crutch orientation (5 degrees RMSE in dynamic conditions) and applied force (10 N RMSE). The system is a mobile-health platform enabling the design and development of real-time biofeedback applications and continuity of care scenarios, such as telemonitoring and telerehabilitation.
Arcobelli, V.A., Zauli, M., Galteri, G., Cristofolini, L., Chiari, L., Cappello, A., et al. (2023). mCrutch: A Novel m-Health Approach Supporting Continuity of Care. SENSORS, 23(8), 1-18 [10.3390/s23084151].
mCrutch: A Novel m-Health Approach Supporting Continuity of Care
Arcobelli, Valerio Antonio
;Zauli, Matteo;Galteri, Giulia;Cristofolini, Luca;Chiari, Lorenzo;Cappello, Angelo;De Marchi, Luca;Mellone, Sabato
2023
Abstract
This paper reports the architecture of a low-cost smart crutches system for mobile health applications. The prototype is based on a set of sensorized crutches connected to a custom Android application. Crutches were instrumented with a 6-axis inertial measurement unit, a uniaxial load cell, WiFi connectivity, and a microcontroller for data collection and processing. Crutch orientation and applied force were calibrated with a motion capture system and a force platform. Data are processed and visualized in real-time on the Android smartphone and are stored on the local memory for further offline analysis. The prototype's architecture is reported along with the post-calibration accuracy for estimating crutch orientation (5 degrees RMSE in dynamic conditions) and applied force (10 N RMSE). The system is a mobile-health platform enabling the design and development of real-time biofeedback applications and continuity of care scenarios, such as telemonitoring and telerehabilitation.File | Dimensione | Formato | |
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