کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10431741 910223 2015 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling suppressed muscle activation by means of an exponential sigmoid function: Validation and bounds
ترجمه فارسی عنوان
مدل سازی فعال سازی عضله را با استفاده از یک تابع سیگموئید نمایشی محاسبه می کند: اعتبار سنجی و محدوده
کلمات کلیدی
درهم تنیده، زور، سرعت چهارگوشه
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
چکیده انگلیسی
The aim of this study was to establish how well a three-parameter sigmoid exponential function, DIFACT, follows experimentally obtained voluntary neural activation-angular velocity profiles and how robust it is to perturbed levels of maximal activation. Six male volunteers (age 26.3±2.73 years) were tested before and after an 8-session, 3-week training protocol. Torque-angular velocity (T-ω) and experimental voluntary neural drive-angular velocity (%VA-ω) datasets, obtained via the interpolated twitch technique, were determined from pre- and post-training testing sessions. Non-linear regression fits of the product of DIFACT and a Hill type tetanic torque function and of the DIFACT function only were performed on the pre- and post-training T-ω and %VA-ω datasets for three different values of the DIFACT upper bound, αmax, 100%, 95% & 90%. The determination coefficients, R2, and the RMS of the fits were compared using a two way mixed ANOVA and results showed that there was no significant difference (p<0.05) due to changing αmax values indicating the DIFACT remains robust to changes in maximal activation. Mean R2 values of 0.95 and 0.96 for pre- and post-training sessions show that the maximal voluntary torque function successfully reproduces the T-ω raw dataset.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Biomechanics - Volume 48, Issue 4, 26 February 2015, Pages 712-715
نویسندگان
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