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Full Description
Assistive Technology Intervention in Healthcare focuses 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.
Contents
1.Detection of Scoliosis from anteroposterior X-Ray images
2.Review on Healthcare Management
3.IoT Technologies for Smart Healthcare
4.A Novel Design of Sequential and Combinational Circuits using Reversible Logic Synthesis
5.Denoising of biomedical images using two dimensional Fourier Bessel series expansion based empirical wavelet transform
6. Alert System for Epileptic Seizure
7.Early Diabetic Retinopathy Detection using Augmented continuous Particle Swarm Optimization Clustering
8.Computational Fluid Dynamics of Carotid Artery Blood Flow for Low Gravity Environment
9.Prediction of E-Signing of Loan Based on Financial Stats of Applicant using Machine Learning
10.Heel-end and Toe-end based Gait Kinematics of Female Young Adults: An Implication to Therapeutic Intervention
11.Blockchain based Electronic Health Record (EHR) system enforced by ensemble multi contract approach
12.EMG features as an indicator of muscle strength for the assessment of non-specific low back pain
13.IoT based Data Management and Self System for Public Healthcare
14. Biosensors in Healthcare
15.Early detection of Autism Spectrum Disorder using EEG, MRI and Behavioral data: A Review
