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  1. Strutture

Validation of Estimators for Weight-Bearing and Shoulder Joint Loads Using Instrumented Crutches

Articolo
Data di Pubblicazione:
2023
Abstract:
This research paper aimed to validate two methods for measuring loads during walking with instrumented crutches: one method to estimate partial weight-bearing on the lower limbs and another to estimate shoulder joint reactions. Currently, gait laboratories, instrumented with high-end measurement systems, are used to extract kinematic and kinetic data, but such facilities are expensive and not accessible to all patients. The proposed method uses instrumented crutches to measure ground reaction forces and does not require any motion capture devices or force platforms. The load on the lower limbs is estimated by subtracting the forces measured by the crutches from the subject’s total weight. Since the model does not consider inertia contribution in dynamic conditions, the estimation improves with low walking cadence when walking with the two-point contralateral and the three-point partial weight-bearing patterns considered for the validation tests. The shoulder joint reactions are estimated using linear regression, providing accurate values for the forces but less accurate torque estimates. The crutches data are acquired and processed in real-time, allowing for immediate feedback, and the system can be used outdoors in real-world walking conditions. The validation of this method could lead to better monitoring of partial weight-bearing and shoulder joint reactions, which could improve patient outcomes and reduce complications.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
partial weight bearing, instrumented crutches, walking aid, gait analysis, biomechanical model, shoulder joint, shoulder load, load measurement
Elenco autori:
Ghidelli, Marco; Nuzzi, Cristina; Crenna, Francesco; Lancini, Matteo
Autori di Ateneo:
GHIDELLI MARCO
LANCINI MATTEO
Nuzzi Cristina
Link alla scheda completa:
https://iris.unibs.it/handle/11379/580445
Link al Full Text:
https://iris.unibs.it/retrieve/handle/11379/580445/202662/sensors-23-06213.pdf
Pubblicato in:
SENSORS
Journal
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