کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4064490 1266212 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Muscle stiffness estimation using a system identification technique applied to evoked mechanomyogram during cycling exercise
ترجمه فارسی عنوان
برآورد سختی عضله با استفاده از یک روش شناسایی سیستم برای اعمال مکانیومیوگرام تحریک شده در طی تمرین دوچرخه سواری
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی ارتوپدی، پزشکی ورزشی و توانبخشی
چکیده انگلیسی

The aims of this study were to develop a method to extract the evoked mechanomyogram (MMG) during cycling exercise and to clarify muscle stiffness at various cadences, workloads, and power. Ten young healthy male participants were instructed to pedal a cycle ergometer at cadences of 40 and 60 rpm. The loads were 4.9, 9.8, 14.7, and 19.6 N, respectively. One electrical stimulus per two pedal rotations was applied to the vastus lateralis muscle at a knee angle of 80° in the down phase. MMGs were measured using a capacitor microphone, and the MMGs were divided into stimulated and non-stimulated sequences. Each sequence was synchronously averaged. The synchronously averaged non-stimulated MMG was subtracted from the synchronously averaged stimulated MMG to extract an evoked MMG. The evoked MMG system was identified and the poles of the transfer function were calculated. The poles and mass of the vastus lateralis muscle were used to estimate muscle stiffness. Results showed that muscle stiffness was 186–626 N/m and proportional to the workloads and power. In conclusion, our method can be used to assess muscle stiffness proportional to the workload and power.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Electromyography and Kinesiology - Volume 25, Issue 6, December 2015, Pages 847–852
نویسندگان
, , ,