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Dynamic Prediction Of Voluntary And Involuntary Moment Of Artificial Elbow Using Artificial Neural Network

عنوان مقاله: Dynamic Prediction Of Voluntary And Involuntary Moment Of Artificial Elbow Using Artificial Neural Network
شناسه ملی مقاله: MSHCONG07_031
منتشر شده در هفتمین کنفرانس بین المللی یافته های نوین در علوم پزشکی و بهداشت با رویکرد ارتقای سلامت در سال 1403
مشخصات نویسندگان مقاله:

Seyed Masoud Ghoreishi Mokri - Department of Medicine at Privolzhsky Research Medical University, Nizhny Novgorod, Russia
Vahid Hosseini - Dentistry student at Privolzhsky Research Medical University, Nizhny Novgorod, Russia
Bhosale Shravani Shriram - General medicine department of privolzhsky research medical university
Khafaji Mohammed Balyasimovich - Assistant professor department hospital surgery, Privolzhsky Research Medical University, PRMU, Nizhny Novgorod, Russia

خلاصه مقاله:
The elbow is a crucial upper body limb that plays a key role in supporting the hand's main functions. It serves as the connection point between the ulna, radius, and arm bone. Disruption of the elbow joint process is common, leading to the option of enhancing efficiency through surgical intervention and joint replacement. By utilizing a DNN neural network in MATLAB to analyze the dynamics of the artificial joint, precise and efficient results were achieved, highlighting the importance of this approach. Examining the sagging and dynamic structure of artificial joint sagging is one of the most important cases of this work. Additionally, a more detailed examination of voluntary and involuntary performance can be conducted for improved behavioral analysis.

کلمات کلیدی:
Artificial elbow, DNN neural network, Matlab, Dynamic function

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/2090222/