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Quantitative Assessment of Upper Limb Motion in Neurorehabilitation Utilizing Inertial Sensors

Bai, Lu, Pepper, Matthew G., Yan, Yong, Spurgeon, Sarah K., Sakel, Mohamed, Phillips, Malcolm (2015) Quantitative Assessment of Upper Limb Motion in Neurorehabilitation Utilizing Inertial Sensors. IEEE Transactions on Neural Systems and Rehabilitation Engineering, . pp. 232-243. ISSN 1534-4320. (doi:10.1109/TNSRE.2014.2369740)

Abstract

Two inertial sensor systems were developed for 3-D tracking of upper limb movement. One utilizes four sensors and a kinematic model to track the positions of all four upper limb segments/joints and the other uses one sensor and a dead reckoning algorithm to track a single upper limb segment/joint. Initial evaluation indicates that the system using the kinematic model is able to track orientation to 1 degree and position to within 0.1 cm over a distance of 10 cm. The dead reckoning system combined with the “zero velocity update” correction can reduce errors introduced through double integration of errors in the estimate in offsets of the acceleration from several meters to 0.8% of the total movement distance. Preliminary evaluation of the systems has been carried out on ten healthy volunteers and the kinematic system has also been evaluated on one patient undergoing neurorehabilitation over a period of ten weeks. The initial evaluation of the two systems also shows that they can monitor dynamic information of joint rotation and position and assess rehabilitation process in an objective way, providing additional clinical insight into the rehabilitation process.

Item Type: Article
DOI/Identification number: 10.1109/TNSRE.2014.2369740
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 19 Mar 2015 09:13 UTC
Last Modified: 29 May 2019 14:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/47726 (The current URI for this page, for reference purposes)
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