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Sensors 2010, 10(12), 10733-10751; doi:10.3390/s101210733
Article

Upper Limb Portable Motion Analysis System Based on Inertial Technology for Neurorehabilitation Purposes

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1 Bioengineering and Telemedicine Centre, ETSI Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain 2 Institut Guttmann Neurorehabilitation Hospital, 08916, Barcelona, Spain 3 CETEMMSA Research Centre, 08301, Mataró, Spain
* Author to whom correspondence should be addressed.
Received: 8 October 2010 / Revised: 22 November 2010 / Accepted: 29 November 2010 / Published: 2 December 2010
(This article belongs to the Special Issue Sensors in Biomechanics and Biomedicine)
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Abstract

Here an inertial sensor-based monitoring system for measuring and analyzing upper limb movements is presented. The final goal is the integration of this motion-tracking device within a portable rehabilitation system for brain injury patients. A set of four inertial sensors mounted on a special garment worn by the patient provides the quaternions representing the patient upper limb’s orientation in space. A kinematic model is built to estimate 3D upper limb motion for accurate therapeutic evaluation. The human upper limb is represented as a kinematic chain of rigid bodies with three joints and six degrees of freedom. Validation of the system has been performed by co-registration of movements with a commercial optoelectronic tracking system. Successful results are shown that exhibit a high correlation among signals provided by both devices and obtained at the Institut Guttmann Neurorehabilitation Hospital.
Keywords: motion tracking; inertial sensors; neurorehabilitation; upper limb; biomechanical model motion tracking; inertial sensors; neurorehabilitation; upper limb; biomechanical model
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Pérez, R.; Costa, Ú.; Torrent, M.; Solana, J.; Opisso, E.; Cáceres, C.; Tormos, J.M.; Medina, J.; Gómez, E.J. Upper Limb Portable Motion Analysis System Based on Inertial Technology for Neurorehabilitation Purposes. Sensors 2010, 10, 10733-10751.

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