Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare (eBook, ePUB)

Redaktion: Bajaj, Varun; Sinha, G. R.

• Format: ePub

Produktbeschreibung

This book emphasizes the real-time challenges in medical modalities for variety of applications for analysis, classification and identification of different states for improvement of healthcare systems. Each chapter starts with the introduction, need and motivation of the medical modality and covers applications, alongwith real-time case studies.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 344
• Erscheinungstermin: 10. August 2021
• Englisch
• ISBN-13: 9781000400236
• Artikelnr.: 62129933

Autorenporträt

Varun Bajaj is working as a faculty in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India. G R Sinha is an Adjunct Professor at International Institute of Information Technology Bangalore (IIITB) and currently deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar.

Inhaltsangabe

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.