Artificial Intelligence Role in Identifying Paralysis with Paralysis Prediction and Monitoring Model

Vemuri Bharath Kumar*, Govardhana Giridhari Narayana Sri Ranga**, Mary Sujatha***
*-*** Department of Computer Science, National Sanskrit University, Tirupati, Andhra Pradesh, India.
Periodicity:July - December'2022
DOI : https://doi.org/10.26634/jdp.10.2.19247

Abstract

Computer vision, autonomous driving, natural language processing, and speech recognition are just a few of the industrial and research disciplines that are being transformed by Artificial Intelligence (AI) and Machine Learning (ML) approaches. The availability of automated solutions may improve the precision and reproducibility of the execution of crucial activities in a variety of sectors, including radiology, diagnostics, and many others, where it is already having a significant impact. Paralysis occurs when people are unable to make voluntary muscle movements. Paralysis is caused by a problem with the nervous system. This paper focuses on the study of the contribution of Artificial Intelligence in identifying paralysis and explores the idea of building a Paralysis Prediction and Monitoring Model (PPAMM) with the help of AI and ML techniques. It is used to determine the frequency of nerve stimulation in the affected region as well as monitor the stimulus and paralysis-precipitating factors.

Keywords

Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Paralysis Predicting and Monitoring Model (PPAMM).

How to Cite this Article?

Kumar, V. B., Ranga, G. G. N. S. and Sujatha, M. (2022). Artificial Intelligence Role in Identifying Paralysis with Paralysis Prediction and Monitoring Model. i-manager’s Journal on Digital Signal Processing, 10(2), 33-39. https://doi.org/10.26634/jdp.10.2.19247

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