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.
2023
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].
Arcobelli, Valerio Antonio; Zauli, Matteo; Galteri, Giulia; Cristofolini, Luca; Chiari, Lorenzo; Cappello, Angelo; De Marchi, Luca; Mellone, Sabato...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/940737
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