Cognitive Predictive Maintenance Tools for Brain Diseases: Design and Analysis: Chapman & Hall/CRC Internet of Things
Editat de Shweta Guptaen Limba Engleză Hardback – 13 aug 2024
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.
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Specificații
ISBN-13: 9781032156828
ISBN-10: 1032156821
Pagini: 196
Ilustrații: 1 Tables, black and white; 43 Line drawings, black and white; 26 Halftones, black and white; 69 Illustrations, black and white
Dimensiuni: 178 x 254 x 13 mm
Greutate: 0.52 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Internet of Things
Locul publicării:Boca Raton, United States
ISBN-10: 1032156821
Pagini: 196
Ilustrații: 1 Tables, black and white; 43 Line drawings, black and white; 26 Halftones, black and white; 69 Illustrations, black and white
Dimensiuni: 178 x 254 x 13 mm
Greutate: 0.52 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Internet of Things
Locul publicării:Boca Raton, United States
Public țintă
Postgraduate, Professional, and Undergraduate AdvancedCuprins
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.
Notă biografică
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.
Descriere
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.