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Advances in Telemedicine for Health Monitoring - Technologies, design and applications (Hardcover)
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Advances in Telemedicine for Health Monitoring - Technologies, design and applications (Hardcover)
Series: Healthcare Technologies
Expected to ship within 10 - 15 working days
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Advances in telemedicine technologies have offered clinicians
greater levels of real-time guidance and technical assistance for
diagnoses, monitoring, operations or interventions from colleagues
based in remote locations. The topic includes the use of
videoconferencing, mentorship during surgical procedures, or
machine-to-machine communication to process data from one location
by programmes running in another. 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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