Cognitive Predictive Maintenance Tools in Brain Diseases - Design and Analysis

This book involves the design, analysis, and application of various Cognitive Predictive Maintenance Tests with help of tools like vibration analysis tools, Ultrasonic analysis tools, Infrared analysis tools, Oil analysis tools, Laser-shaft alignment tools, and Motor circuit analysis tools in the prediction of various Cognitive diseases like Epilepsy, Parkinson’s Disease, Alzheimer’s, depression, etc. which is need of the day since there are no proper medical tests available to predict the diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates Innovative processes for treating Cognitive Diseases. Early and exact Identification and treatment strategies are incorporated. Uses Future Technologies like Artificial Intelligence, Machine Learning, IoT, Data Science, etc. are used for solutions. Analysis with the existing Cognitive Diseases Solutions is incorporated and Simulations are provided. Novelty of the book lies in the Accurate Prediction of Cognitive diseases. Encompassing novel technologies like the Industrial Internet of Things, Artificial Intelligence, Machine Learning, Data Sciences, Big Data, and various communication protocols or devices available for cognitive diseases for the design of newly designed equipment would be an asset of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of the product. Can be added to the curriculum of Medical colleges and Biomedical Engineering students. Possible vendors can be Biomedical Research centers like Biotechnika, Indian Medical Research Association (ICMR). It would be a breakthrough for Biomedical Companies to launch the new product.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Internet of Things
Release date:	November 2023
First published:	2024
Editors:	Shweta Gupta
Dimensions:	254 x 178mm (L x W)
Pages:	224
ISBN-13:	978-1-03-215682-8
Categories:	Books Promotions
LSN:	1-03-215682-1
Barcode:	9781032156828

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