Artificial Intelligence in Telemedicine : Processing of Biosignals and Medical images (Paperback)

PART 1 Biosignal and Medical Image Processing for Disease Diagnosis

Chapter 1 Lightweight One-Dimensional CNN for Cardiac Arrhythmia Classification

Chapter 2 An Automatic System for Pertussis Diagnosis with Temperature Monitoring Using CNN

Chapter 3 DocPresRec: Doctor’s Handwritten Prescription Recognition Using Deep Learning Algorithm

Chapter 4 An Efficient Deep Learning Approach for Brain Stroke Detection: Application of Telemedicine

Chapter 5 An Automated Detection of Notable ABCD Diagnostics of Melanoma in Dermoscopic Images

Chapter 6 Comparative Study of CNN and LSTM-Based Hand Gesture Classification Using EMG Signals

Chapter 7 Improved Transfer Learning-Enabled Heuristic Technique for Pneumonia Detection on Graphical Processing Unit Platform

Chapter 8 Improved Adaptive Learning Framework for an Effective Removal of Noise in ECG Signal for Telemedicine System

PART 2 Role of Artificial Intelligence and IoT in Health Care

Chapter 9 Human Disease Prediction System ? Application of AI Techniques in Chronic Diseases

Chapter 10 Internet of Things in Mental Healthcare Worldwide ? A Study

Chapter 11 Internet of Things: A Promise to Smart Healthcare

Chapter 12 A Brief Review on Wireless Capsule Endoscopy Image Compression

Chapter 13 A Comprehensive Review on Leukemia Diseases Based on Microscopic Blood Cell Images

Chapter 14 Effects of Numerical Mapping Techniques on Performance in Genomic Signal Processing

Chapter 15 Importance of 5G/6G in Telemedicine System during the Pandemic Situation

Chapter 16 Applications of Artificial Intelligence Techniques in Healthcare
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