Cognitive Predictive Maintenance Tools for Brain Diseases
Design and Analysis
1st Edition
Published on 13. August 2024
196 pages
978-1-000-99291-5 (ISBN)
Description
This book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson's disease, Alzheimer's disease, and depression. These are needed since there are no proper medical tests available to predict these 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.
Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions.
Analysis with existing cognitive disease solutions is incorporated and simulations provided.
The novelty of the book lies in the accurate prediction of cognitive diseases.
Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.
Key features:
Incorporates innovative processes for treating cognitive diseases.
Early and exact identification and treatment strategies are incorporated.
Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions.
Analysis with existing cognitive disease solutions is incorporated and simulations provided.
The novelty of the book lies in the accurate prediction of cognitive diseases.
Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
1 Tables, black and white; 43 Line drawings, black and white; 26 Halftones, black and white; 69 Illustrations, black and white
ISBN-13
978-1-000-99291-5 (9781000992915)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
approx. 07/2026
1st Edition
Chapman & Hall/CRC
€107.50
Not yet published
Book
08/2024
1st Edition
Chapman & Hall/CRC
€206.20
Shipment within 10-20 days
Person
Shweta Gupta is an Associate Professor at the School of Technology, Woxsen University, Telangana , India
She has been a reviewer for various national and international journals. She is also a senior member of Hong Kong Group of Conferences. Her areas of research are cognitive science and biomedical science.
She has been a reviewer for various national and international journals. She is also a senior member of Hong Kong Group of Conferences. Her areas of research are cognitive science and biomedical science.
Content
1. Brain its Structure and Functions. 2. Current status of Cognitive Disorders and their Diagnosis. 3. Cognitive Medical Tests and Therapies Available . 4. Characterization of Biomedical Signals in Neurological Disorders. 5. Overview of Distinct Electronic Devices and Circuits. 6. Exploration and Application of Cognitive Illness Predictors, such as Parkinson's and Epilepsys. 7. Artificial Intelligence-Based Biosensors. 8. Design of Circuits for Various Cognitive Diseases using Cognitive Predictive Maintenance Tools. 9. Advances in the Treatment of Cognitive Diseases Using IOT-Based Wearable Devices. 10. Prediction and Maintenance of Alzheimer's Disease (AD) using Ultrasound and Infrared Spectroscopy Sensors/AR Techniques. 11. Deep Learning in Mental Illnesses: Understanding Networks.
