Title :
Numerical analysis of the characteristics of physical manual dexterity
Author :
Johnson, D.C. ; LaCourse, J.R.
Author_Institution :
Dept. of Electr. Eng., New Hampshire Univ., Durham, NH, USA
Abstract :
The physiological fitness of the fourteen knuckled joints is analyzed to provide the basis for a numerical rating of physical manual dexterity. A method has been developed to test and analyze defined characteristics. A test algorithm is actuated by a computer which queues subject action, records subject response in EMG signals and joint angle amplitudes, and analyzes response patterns. Average physical performance patterns are examined and integrated into a quantitatively based numerical measurement system standardized by observational and experimental means. This system objectively assesses the functional ability or state of the fingers and hand, replacing the dependence on subjective observation. This provides examiners with a robust standard for monitoring and cross referencing digital fitness with a common and easily understood reference point
Keywords :
bioelectric potentials; biomechanics; biomedical measurement; computerised monitoring; medical signal processing; numerical analysis; EMG signals; cross referencing; digital fitness; fingers; hand; joint angle amplitudes; knuckled joints; monitoring; numerical measurement; numerical rating; physical manual dexterity; physical performance patterns; reference point; response patterns; test algorithm; Algorithm design and analysis; Biomedical monitoring; Electromyography; Fingers; Numerical analysis; Pattern analysis; Queueing analysis; Robustness; Signal analysis; Testing;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1992. IMTC '92., 9th IEEE
Conference_Location :
Metropolitan, NY
Print_ISBN :
0-7803-0640-6
DOI :
10.1109/IMTC.1992.245127
