Title

Ankle injury assessment using inertial 3D data

RIS ID

81620

Publication Details

S. Zhang, F. Naghdy, D. Stirling, M. Ros & A. Gray, "Ankle injury assessment using inertial 3D data," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 810-815.

Abstract

Sport injuries can prevent athletes from maintaining a high level of performance; keep them away from competitions during long periods of recovery, resulting in loss of income or even career. An objective system to assess the nature of the sport injury, adopt effective rehabilitation training at each stage and determine more effectively the time that the injured athletes can safely return to competition can reduce such liabilities. The diagnosis and monitoring of rehabilitation of sport injuries are critical for professional athletes. This study explores the feasibility of using inertial sensors to objectively aid in the assessment of sporting injuries and to monitor the progress made by an injured athlete during rehabilitation. This is proposed through observation, and contrasting the resultant deficits of muscle strength, and balance control, between healthy and injured parts of the body. The posture and gait of an athlete is monitored using a motion capture suit consisting of 17 tri-axial inertial sensor units. Three methods of Centre of Mass (COM), Symmetry angle (SA) and Gaussian Mixture Models (GMM) are applied to injured and control limbs, for a group from professional athletes when they perform single leg stance and one meter forward hopping. All of the three methods successfully distinguish between injured and control limbs. The results are presented and future extension of the methods is discussed.

Please refer to publisher version or contact your library.

Share

COinS
 

Link to publisher version (DOI)

http://dx.doi.org/10.1109/AIM.2013.6584193