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.
Chakraborty, Chinmay: -
Chinmay Chakraborty is an Assistant Professor (Sr.) in the Department of Electronics and Communication Engineering, BIT Mesra, India. His primary areas of research include wireless body area network, internet of medical things, energy efficient wireless communications and networking and point-of-care diagnosis. He authored the books PSTN-IP Telephony Gateway for Ensuring QoS in Heterogeneous Networks (2014), Advanced Classification Techniques for Healthcare Analysis (2019) and Smart Medical Data Sensing and IoT Systems Design in Healthcare (2019). He is an Editorial Board Member in the Journal of Wireless Communication Technology, Int. Journal of Telecomm. Engg., etc. and also a member of the International Advisory Board for Malaysia Technical Scientist Congress and the Machine Intelligence Research Labs. He received a young research excellence award, Global Peer Review Award, Young Faculty Award and Outstanding Researcher Award.
Fraser, Kym: -
Kym Fraser is a researcher at the Future Industries Institute, University of South Australia, Adelaide, Australia. He also holds professorships at the University of Brawijaya, Indonesia, University of Kurdistan Hewlêr, Iraq and Aalborg University, Denmark. Before becoming an academic, he spent 25 years in practice in the areas of operations, service and quality management. Since entering academia his research efforts have tended to fall within the broad field of business and management. He has published in top-tier journals such as International Journal of Production Research, Journal of Biomedical Science; Computer Methods and Programs in Biomedicine, Sustainability, Studies in Higher Education to name a few. He has established collaborative relationships with five international research institutions and published over 80 research articles in internationally refereed books, journals and conferences.
Rashid, Tarik A.: -
Tarik A. Rashid is a professor in the Computer Science and Engineering Department, School of Science and Engineering, University of Kurdistan Hewlêr, Erbil, KRG, Iraq. He received his Ph.D. degree in computer science and informatics from the Computer Science and Informatics Department, College of Engineering, Mathematical, and Physical Sciences, University College Dublin (UCD) in 2006. He was a Postdoctoral Fellow of the Computer Science and Informatics School, University College Dublin (UCD) from 2006 to 2007. His research covers three fields of interest. The first field is the expansion of machine learning and data mining to deal with time series applications. The second field is the development of DNA computing, optimization, swarm intelligence, and nature-inspired algorithms and their applications. The third field is networking, telecommunication and telemedicine applications. He has established collaborative relationships with several international research institutions and published over 100 research articles in internationally refereed books, journals and conferences.
