Inertial motion tracking of human arm movements in stroke rehabilitation

We present a real-time monitoring system for measuring human upper limb movements in post-stroke rehabilitation. It is based on an advanced inertial sensor MT9 that is commercially available. Human upper limb motion is represented by a kinematic chain in which there are six joint variables to be considered: three for the shoulder and the others for the elbow. Kinematic models are built to study human upper limb motion in three-dimension, based on measurements of the wrist motion. A simulated annealing based optimisation method is adopted to reduce errors in measurements. Experimental results demonstrate the favorable performance of the proposed system in real motion circumstances.

[1]  Robert G Radwin,et al.  Anatomical and mechanical changes following repetitive eccentric exertions. , 2005, Clinical biomechanics.

[2]  Huosheng Hu,et al.  CSM-420 A Survey - Human Movement Tracking and Stroke Rehabilitation , 2004 .

[3]  Michael Harrington,et al.  FlightTracker: a novel optical/inertial tracker for cockpit enhanced vision , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

[4]  C. Tsallis,et al.  Generalized simulated annealing , 1995, cond-mat/9501047.

[5]  E. Roth,et al.  Physical activity and exercise recommendations for stroke survivors: an American Heart Association scientific statement from the Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention; the Council on Cardiovascular Nursing; the Council on Nutrition, Physical , 2004, Circulation.

[6]  John J. Craig Zhu,et al.  Introduction to robotics mechanics and control , 1991 .

[7]  Vijay Kumar,et al.  Design and virtual prototyping of rehabilitation aids , 1999 .

[8]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[9]  William Harwin,et al.  Robot Aided Therapy: Challenges Ahead for Upper Limb Stroke Rehabilitation , 2004 .

[10]  Thomas B. Moeslund,et al.  Pose estimation of a human arm using kinematic constraints , 2001 .

[11]  Ales Ude,et al.  Robust estimation of human body kinematics from video , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[12]  Thadeu Josino Pereira Penna,et al.  Fitting curves by simulated annealing , 1995 .

[13]  E. Roth,et al.  Top Ten Things To Know Physical Activity and Exercise Recommendations for Stroke Survivors , 2004 .

[14]  Norman I. Badler,et al.  Real-Time Inverse Kinematics Techniques for Anthropomorphic Limbs , 2000, Graph. Model..