Analyzing motoric and physiological data in describing upper extremity movement in the aged

ABSTRACT

Cognitive functions, motoric expression, and changes in physiology are often studied separately, with little attention to the relationships, or correlations, among these entities. In this study, we implement an integrated approach by combining motion capture (action) and EMG (physiological) parameters as synchronized data streams resulting from the action and associated physiological data. Our experiments were designed to measure the preparatory movement capabilities of the upper extremities. In particular, measurement of changes in preparatory activity during the aging process are of interest to us, as the attempt is to develop means to compensate for loss of adaptive capabilities that aging entails. To achieve this goal, it is necessary to quantify preparation phases (timing and intensity). We measured motion capture and EMG parameters when subjects raised their arms without constraint (condition one) and raised their arms while holding a ball (second condition). Furthermore, on comparing aging and young participants, we confirmed that with aging the temporal relationships between actual movement and the preceding EMG signal change.

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INDEX TERMS

Primary Classification:
  J. Computer Applications
  J.3 LIFE AND MEDICAL SCIENCES

Keywords:
electromyogram, factor analysis, feature extraction, integration analysis, motion capture, multivariate analysis of variance