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

Publish Year: 1403
Type: Conference paper
Language: English
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MSHCONG07_031

Index date: 30 September 2024

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

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.

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

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