Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing. 1st Edition Adel Al-Jumaily – Ebook Instant Download/Delivery ISBN(s): 9781032386942,1032386940,9781003838128, 100383812X
Product details:
- ISBN 10: 100383812X
- ISBN 13: 9781003838128
- Author: Adel Al-Jumaily
Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing
Table contents:
Chapter 1 Upper Limb Recovery Prediction Based on Multilevel Mixed Effect EMG Synergy and Biomarker Values
Chapter 2 EMG Feature Extraction Based on Cardinality with Deep Learning Concepts
Chapter 3 Surface Electromyography Sensors for Human Activity Recognition: Recent Advancements and Perspectives
Chapter 4 ECG Signal Monitoring and Processing in the Operating Room
Chapter 5 Photoplethysmography and Inertial Sensors in Wearable Devices for Healthcare: Multimodal Signal Processing for Increasing Accuracy
Chapter 6 Non-Invasive System for Measuring Parameters Relevant to Sleep Quality and Detecting Sleep Diseases: The Data Model
Chapter 7 Predicting Incidence of Stroke via Supervised Machine Learning Methods on Class Imbalanced Data
Chapter 8 Ultrasound Vector Flow Imaging, a Promising Technique towards a New Carotid Atheroma Risk Stratification
Chapter 9 A Pre-Screening Technique for Coronary Artery Disease with Multi-Channel Phonocardiography and Electrocardiography
Chapter 10 Exploring the Feasibility of Estimating the Carotid-to-Femoral Pulse Wave Velocity Using Machine Learning Algorithms
Chapter 11 DVT Diagnosis Based on HOS and Scattering Operators
Chapter 12 Non-Invasive AI-Assisted Techniques for 3D Printing of the Heart via Image Analysis: Current State, Challenges, and Future Directions
Chapter 13 COVID-19 and Pneumonia Detection System Using Deep Learning with Chest X-Ray Images
Chapter 14 Scattering Operators and High-Order Statistics along with Elastography to Identify and Characterize Salivary Gland Abnormalities
Chapter 15 Intelligent Feature Selection Algorithm Using SA-SVM Classification for Skin Cancer Diagnosis
Chapter 16 A Review on Advanced CNN Architecture in Diagnosing Alzheimer’s Disease
Chapter 17 Combination of Sensors-Based Monitoring System and Internet of Things (IoT): A Survey and Framework for Remote and Intensive Care Unit Patients
Chapter 18 End-to-End Solutions for the Remote Monitoring of Post-Operative Prehabilitation Program
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