Patient-specific performance assessment of arm movements in daily life activities is fundamental for neurological rehabilitation therapy. In most applications, the shoulder movement is simplified through a socket-ball joint, neglecting the movement of the scapular-thoracic complex. This may lead to significant errors. We propose an innovative bi-articular model of the human shoulder for estimating the position of the hand in relation to the sternum. The model takes into account both the scapular-toracic and gleno-humeral movements and their ratio governed by the scapular-humeral rhythm, fusing the information of inertial and textile-based strain sensors.

A bi-articular model for scapular-humeral rhythm reconstruction through data from wearable sensors

LORUSSI, FEDERICO;CARBONARO, NICOLA;DE ROSSI, DANILO EMILIO;TOGNETTI, ALESSANDRO
2016

Abstract

Patient-specific performance assessment of arm movements in daily life activities is fundamental for neurological rehabilitation therapy. In most applications, the shoulder movement is simplified through a socket-ball joint, neglecting the movement of the scapular-thoracic complex. This may lead to significant errors. We propose an innovative bi-articular model of the human shoulder for estimating the position of the hand in relation to the sternum. The model takes into account both the scapular-toracic and gleno-humeral movements and their ratio governed by the scapular-humeral rhythm, fusing the information of inertial and textile-based strain sensors.
Lorussi, Federico; Carbonaro, Nicola; DE ROSSI, DANILO EMILIO; Tognetti, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/794240
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