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Advances in Telemedicine for Health Monitoring: Technologies, design and ap Technologies, Design and Applications

Rashid, Tarik A
Advances in Telemedicine for Health Monitoring: Technologies, design and ap Technologies, Design and Applications Cover Image
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Book Information
Edition: 1st
Publisher: IET (Institution of Engineering and Technology)
ISBN: 1-78561-986-1 (1785619861)
ISBN-13: 978-1-78561-986-1 (9781785619861)
Binding: Hardcover
Copyright: 2020
Publish Date: 05/20
Weight: 0.00 Lbs.
Pages: 320
Subject Class: M-A (Medical Administration and Health Policy)
Return Policy: Non-Returnable.
 
Class Specifications
Abstract: This edited book presents a variety of technologies with applications in telemedicine, originating from the fields of biomedical sensors, wireless sensor networking, computer-aided diagnosis methods, signal and image processing and analysis, automation and control, virtual and augmented reality, multivariate analysis, and data acquisition devices. The Internet of Medical Things (IoMT), surgical robots, telemonitoring, and teleoperation systems are also explored, as well as the associated security and privacy concerns in this field. Topics covered include critical factors in the development, implementation and evaluation of telemedicine; surgical tele-mentoring; technologies in medical information processing; recent advances of signal/image processing techniques in healthcare; a real-time ECG processing platform for telemedicine applications; data mining in telemedicine; social work and tele-mental health services for rural and remote communities; applying telemedicine to social work practice and education; advanced telemedicine systems for remote healthcare monitoring; the impact of tone-mapping operators and viewing devices on visual quality of experience of colour and grey-scale HDR images; modelling the relationships between changes in EEG features and subjective quality of HDR images; IoMT and healthcare delivery in chronic diseases; and transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy.
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