The Analysis Of Neuromuscular Devices: A Transformation Of Human Physiology Into Customizable Intelligent Technology Using Deep Learning Method

Abstract

In this era, development in neuro-interface technology is one of the key scientific focuses. Technology-oriented advancements result in machine learning techniques, particularly deep learning methods, that help in handling complex computations and large amounts of data. This paper explores the model where neuromuscular devices in human-like robots by leveraging the neurotransmitter data, help to identify the change in human emotions and behaviors. The data neu muscular devices get through a change in impulse, run through deep learning algorithms, and are ultimately converted into AI. The convergence of AI and neuromuscular devices has helped to boost healthcare solutions. Drawing on the Theory of Neuro transmission and the theory of Reinforcement learning, this study analyzes the Integration of Neuromuscular Devices and Personalized AI to enhance Human Physiology. Healthcare practices have been revolutionized and human physiology has been enhanced by the synergizing integration of Neuroscience, AI, and biomedical engineering in this research paper we can find out the ultimate impact of neuromuscular devices on human physiology based on the data collected by 98 individuals.