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Accession number;99A0938095
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| Title;Generation of optimal stimulation for FES standing up using computer model simulation. |
| Author;
EOM G-M
(Tohoku Univ.)
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Journal Title;Record of Electrical and Communication Engineering Conversazione, Tohoku University
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Journal Code:F0511A
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ISSN:0385-7719
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VOL.68;NO.1;PAGE.114-117(1999)
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| Figure&Table&Reference;FIG.5, TBL.1 |
| Pub. Country;Japan |
| Language;English |
| Abstract;The most attention of this thesis was paid to the automatic generation of stimulation data for FES standing-up in paraplegic patients, to overcome the difficulties in the present EMG-based method. Automatic generation of "standard stimulation data" was selected as a first purpose of this thesis. At first, a simulation system of FES induced motion was developed. Musculotendon model in the system was simplified for application in the stimulation data generation. Standard stimulation data for unassisted standing was generated by dynamic optimization with the simulation system. The generated stimulation data were roughly in agreement with the normal subjects' EMG and the cost function was properly incorporated in it. From these, it may be said that the model-based method is useful for generating standard stimulation data. The same technique could be applied to generation of patient-specific stimulation data once the musculoskeletal system of a patient was properly identified. Therefore, a model and an identification scheme were developed. In the model, musculotendon and moment arm are lumped together resulting in a torque generator, whch facilitated simple and noninvasive identification. A systematic protocol was developed for the identification. The model and its identification method were validated taking he vastus lateralis muscle at the knee joint as an example. The predicted joint angle trajectories closely matched the experimental data. This shows that the model was proper and the identification was successful. This also implies that the model-based generation of patient specific stimulation data is promising. (author abst.) |
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