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Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare
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Main description:

Covers different modalities for improvement of healthcare system
Describes implementation strategies and their applications in diagnosis of modalities
Reviews automatic identification of related disorders using medical modality
Discusses bio-potential signals and their appropriate analysis for studying different disorders
Includes case studies, real-time examples and research directions


Contents:

1. Classification of Alertness and Drowsiness States using the Complex Wavelet Transform based Approach for EEG Records. 2. Stochastic Event Synchrony based on a Modified Sparse Bump Modeling: Application to PTSD EEG Signals. 3. HealFavor: A Chatbot Application in Healthcare. 4. Diagnosis of Neuromuscular Disorders using Machine Learning Techniques. 5. Prosthesis control using undersampled surface electromyographic signals. 6. Title of chapter:Assessment and Diagnostic Methods for Coronavirus Disease 2019 (COVID-19). 7. Predictive Analysis of Breast Cancer using Infrared Images with Machine Learning Algorithms. 8. Histopathological Image Analysis and Classification Techniques for Breast Cancer Detection. 9. Study of Emotional Intelligence & Neuro-Fuzzy System. 10. Essential Statistical Tools for Analysis of Brain Computer Interface. 11. Brain Computer Interfaces: The basics, state of the art and future. 12. Oriented Approaches for Brain Computing and Human Behavior Computing Using Machine Learning. 13. An Automated Diagnosis System for Cardiac Arrhythmia Classification.


PRODUCT DETAILS

ISBN-13: 9780367705367
Publisher: Taylor & Francis (CRC Press)
Publication date: August, 2021
Pages: 368
Weight: 460g
Availability: Available
Subcategories: Biomedical Engineering, Radiology

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