این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Electrical and Electronic Engineering، جلد ۱۴، شماره ۴، صفحات ۳۰۸-۳۱۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی A Nonlinear Method to Estimate Simultaneous Force Pattern Generated by Hand Fingers; Application in Prosthetic Hand
چکیده انگلیسی مقاله In this study a method has been introduced to map the features extracted from the recorded electromyogram signals from the forearm and the force generated by the fingers. In order to simultaneously record of sEMG signals and the force produced by fingers, 9 requested movements of fingers conducted by 10 healthy people. Estimation was done for 6 degrees of freedom (DoF) and generalized regression neural network (GRNN) was selected for system training. The optimal parameters, including the length of the time windows, the parameters of the neural network, and the characteristics of the sEMG signal were calculated to improve the performance of the estimate. The performance was obtained based on R2 criterion. The Total value of R2 for 6 DoF was 92.8±5.2% that obtained by greedy looking system parameters in all the subjects. The result shows that proposed method can be significant in simultaneous myoelectric control.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله | S. Mirzakuchaki
Department of Electrical and Electronic Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran.


| Z. Paydar
Department of Electrical and Electronic Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-194-2&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/446/article-446-1073162.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 4-Biomedical Signal Processing
نوع مقاله منتشر شده Research Paper
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات