Quantitative Evaluation of Cerebellar Ataxia Through Automated Assessment of Upper Limb Movements
Ha Tran, Pubudu N Pathirana, Malcolm Horne, Laura Power, David J Szmulewicz
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2019
Cerebellar damage can result in peripheral dysfunction manifesting as poor and inaccurate coordination, irregular movements, and tremors. Conventionally, the severity assessment of Cerebellar ataxia (CA) is primarily based on expert clinical opinion and hence likely to be subjective. In order to establish inter-rater concordance with enhanced reliability and effectiveness in the assessment of upper limb function, a novel automated system employing Microsoft Kinect© is considered to capture the motion of the patient's finger for objective assessment. This essentially mimics the commonly used finger tracking task clinically assessed through subjective observation. A clinical trial was conducte..View full abstract
Awarded by National Health and Medical Research Council (NHMRC)
This work was supported in part by the National Health and Medical Research Council (NHMRC) under Grant GNT1101304 and Grant APP1129595 and in part by CSIRO's Data61.