TY - GEN
T1 - Analyzing motoric and physiological data in describing upper extremity movement in the aged
AU - Pradhan, Gaurav N.
AU - Engineer, Navzer
AU - Nadin, Mihai
AU - Prabhakaran, Balakrishnan
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Electromyogram
KW - Factor analysis
KW - Feature extraction
KW - Motion capture
KW - Multivariate analysis of variance
UR - https://www.scopus.com/pages/publications/57549085384
U2 - 10.1145/1389586.1389646
DO - 10.1145/1389586.1389646
M3 - Conference contribution
SN - 9781605580678
T3 - 1st International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2008
BT - 1st International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2008
T2 - 1st International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2008
Y2 - 16 July 2008 through 18 July 2008
ER -