Assistive Technology Intervention in Healthcarefocuses on various applications of intelligent techniques in biomedical engineering and health informatics. It aims to create awareness about disability reduction and recovery of accidental disability with the help of various rehabilitative systems. Novel technologies in disability treatment, management and assistance, including healthcare devices and their utility from home to hospital, are described. The book deals with simulation, modeling, measurement, control, analysis, information extraction and monitoring of physiological data in clinical medicine and biology.
Features
- Covers the latest evolutionary approaches to solve optimization problems in the biomedical engineering field
- Explains machine learning–based approaches to improvement in health engineering areas
- Reviews the IoT, cloud computing and data analytics in healthcare informatics
- Discusses modeling and simulations in the design of biomedical equipment
- Explores monitoring of physiological data
This book is aimed at researchers and graduate students in biomedical engineering, clinical engineering and bioinformatics.
Author(s): Shruti Jain, Sudip Paul
Publisher: CRC Press
Year: 2022
Language: English
Pages: 294
City: Boca Raton
Cover Page
Half Title Page
Title Page
Copyright Page
Contents Page
Preface Page
Acknowledgments Page
Editors Page
Contributors Page
Chapter 1 Detection of Scoliosis from Anteroposterior X-Ray Images
Chapter 2 Review of Healthcare Management
Chapter 3 IoT Technologies for Smart Healthcare
Chapter 4 A Novel Design of Digital Circuits Using Reversible Logic Synthesis
Chapter 5 Denoising of Biomedical Images Using Two-Dimensional Fourier-Bessel Series Expansion-Based Empirical Wavelet Transform
Chapter 6 Alert System for Epileptic Seizures
Chapter 7 Early Diabetic Retinopathy Detection Using Augmented Continuous Particle Swarm Optimization Clustering
Chapter 8 Computational Fluid Dynamics of Carotid Artery Blood Flow for Low-Gravity Environments
Chapter 9 Predictions of Loan E-Signing Based on Financial Status of Applicants Using Machine Learning
Chapter 10 Heel-End- and Toe-End-Based Gait Kinematics of Female Young Adults: Implications of Therapeutic Intervention
Chapter 11 Blockchain-Based Electronic Health Record System Enforced by Ensemble Multi-Contract Approach
Chapter 12 EMG Features as an Indicator of Muscle Strength for the Assessment of Non-Specific Low Back Pain
Chapter 13 IoT-Based Data Management and Systems for Public Healthcare
Chapter 14 Biosensors in Healthcare
Chapter 15 Early Detection of Autism Spectrum Disorder Using EEG, MRI and Behavioral Data: A Review
Index
