Title :
A multi-parameter assessment tool for upper limb motion in neurorehabilitation
Author :
Bai, Lu ; Pepper, Matthew G. ; Yan, Yong ; Spurgeon, Sarah K. ; Sakel, Mohamed ; Phillips, Malcolm
Author_Institution :
Instrum., Control & Embedded Syst. Res. Group, Univ. of Kent, Canterbury, UK
Abstract :
In this paper a system utilizing inertial sensors for the 3D tracking of upper limb movement in neuro-rehabilitation is presented. Both inertial tracking and kinematic modeling algorithms are adopted in the motion monitoring system. Experiments are carried out to evaluate the performance of the tracking system. The results show that the system is capable of providing accurate displacement measurements of upper limb movement when the kinematic model is applied. This system can measure position to within 0.5 cm over a period of 25 seconds estimated through the kinematic modeling.
Keywords :
artificial limbs; biomechanics; displacement measurement; injuries; kinematics; motion estimation; neurophysiology; sensors; tracking; 3D tracking; displacement measurement; inertial sensor; inertial tracking; kinematic modeling algorithm; motion monitoring system; multi-parameter assessment tool; neurorehabilitation; size 0.5 cm; time 25 s; tracking system; upper limb motion; Acceleration; Elbow; Kinematics; Sensors; Three dimensional displays; Tracking; Wrist; 3D motion tracking; inertial sensors; inertial tracking; kinematic modeling; motion monitoring; upper limb motion;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
Conference_Location :
Binjiang
Print_ISBN :
978-1-4244-7933-7
DOI :
10.1109/IMTC.2011.5944169