شماره ركورد كنفرانس
5255
عنوان مقاله
Estimating the neck angle based on the electromyographic activity of the upper trapezius muscle using curve fitting
پديدآورندگان
Bachelor of Medical Engineering, Faculty of Engineering, Islamic Azad University, Tehran East Branch, Tehran Abolfazl, Babaei ablofazlbabaei@gmail.com , Bachelor of Information Technology Engineering, Faculty of Technical Engineering, Islamic Azad University, Tehran South Branch, Tehran Mohammad, Babaei mohammad_ba@yahoo.com , Specialized Doctorate in Medical Engineering, Intelligent Systems Research Center in Cognitive Sciences, Islamic Azad University, Qazvin Branch Babak, Rezaei Afshar babak.rezaee@srbiau.ac.ir
تعداد صفحه
11
كليدواژه
Electromyography , estimation of neck angle , RMS , curve fitting , upper trapezius muscle
سال انتشار
1401
عنوان كنفرانس
اولين سمپوزيوم بين المللي كاربردهاي هوش مصنوعي
زبان مدرك
انگليسي
چكيده فارسي
Estimating the neck angle is very important in rehabilitation and physiotherapy applications, as well as the control of intelligent robotic systems. In this research, neck angle estimation has been done using electromyography signals and their processing. Therefore, in this research, 7 male volunteers with a weight of 70±8 kg, a height of 170±5 cm, and an age of 29±6 years, who did not have any neuromuscular disease, were asked to bend their neck to 90 degrees for 7 consecutive times in 6 seconds. move and then return to the original angle. Then, by extracting the characteristics of the obtained signal, an estimate of the amplitude of the electromyography signal was obtained by fitting a 10-degree curve. The obtained estimate differed from the reality of neck movements by about 3.8 degrees, which indicates a 96.2% accuracy of the estimate.
كشور
ايران
لينک به اين مدرک