| Budget Amount *help |
¥1,800,000 (Direct Cost: ¥1,800,000)
Fiscal Year 1994: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1993: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Research Abstract |
In this study tne new method for identification of human muscle techonology in the case of elbow flexion, using inverse-analysis method. There is a known analytical method for obtaining the dynamic characterristics of an arbitraly complex movement, which consist of the following steps :
(1) Construction of the momentum-equation, based on the dynamic model of the body.
(2) Application of the inverse-analysis technique, on the experimental date.
(3) Calculation of the driving force and moment.
For the purpose, we need to develop further the inverse-analysis method, which gives us the oppotunity to obtain extended set OF muscle characteristics usefle for modeling complex purposeful-motion exercises. The inprovement is based on the Getetic Algorithm (GA), the programming technique imitating biological evoluation by means of natural selection. First, we study the human-elbow flexion of a mono-articular with maximum muscle effort against inertia loads. The biceps muscle is represented as an equivalent elbow-flexor which is composed by two-components : contactile component (CC) and series elastic component (SEC). The muscle parameters are obtained through GA-based method using inverse-analysis of the experimental data sets corresponding to 4 different values of the inertia load applied. The dynamics curves from the computer simulation wre found satisfactorily closed to the experimental curves, what shows the reliability of the prposed computational model.
Additionally, the dynamic analysis of constant-speed elbow-flexion was simulated, using the obtained parameter values. A real experiment with an isokinematic device was performed, and then the both simulation and real date were agreeably mached each other. This result also approves the properness of the developed method.
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