Description
Behavioral Biometrics and Artificial Intelligence for Neurodegenerative Diseases Assessment explores cutting-edge, non-invasive techniques for the early detection of neurodegenerative diseases. The book focuses on behavioral biometrics, which analyzes patterns in a person's actions rather than directly measurable traits. By utilizing artificial intelligence methods—like machine learning and deep neural networks—it enables the observation of subtle changes in gait, handwriting, and speech. These advanced approaches offer promise for earlier and more accurate diagnosis, potentially improving outcomes for millions affected by conditions such as Alzheimer's and Parkinson's diseases through timely intervention and personalized care.In addition to its core coverage, the book delves into the practical applications of wearable sensors and the use of everyday devices like smartphones and tablets in assessments. It provides comprehensive chapters on how these technologies can aid clinicians and researchers in monitoring disease progression outside traditional clinical settings.- Presents motor patterns and the evolution of the most common neurodegenerative diseases- Reviews most used behavioral biometrics for neurodegenerative disease assessment and how to measure them- Outlines AI tools for neurodegenerative disease assessment
Table of Contents
1. Introduction to neurodegenerative diseases2. Machine learning3. Feature extraction, feature selection, dimensionality reduction4. Classification and Regression Models5. Training and Testing by ensuring intrer-patient separation scheme6. Model validation7. Neural Networks8. Deep Neural Networks for Computer Vision9. Overview of modern architectures for image classification10. Overview of modern architectures for time series classification11. The mechanics of the movement12. A review of noninvasive sensors and techniques for detecting the early sign of neurodegenerative disease using machine learning13. Wearable sensors for Neurodegenerative disease assessment14. Detection of early signs of neurodegenerative disease through smartphone app analyzing gait and five-time sit to stand tests15. Detection of early signs of neurodegenerative disease through smartphones and speech audio16. Detection of early signs of neurodegenerative disease through digital tablets and Handwriting17. Computer Vision techniques for detecting neurodegenerative disease through neuroimaging techniques.18. Explainable artificial intelligent techniques as a way to trust AI19. Conclusions and future research directions
