"Version: 20210207"--Title page verso.

Includes bibliographical references.

1. Automatic detection of hypertension by flexible analytic wavelet transform using electrocardiogram signals / Kapil Gupta, Smith K. Khare, Varun Bajaj and Irshad Ahmed Ansari -- 2. Computational intelligence in surface electromyogram signal classification / Turker Tuncer, Sengul Dogan, Fatih Ertam and Abdulhamit Subasi -- 3. Analysis of IoT interventions to solve voice pathologies challenges / Wahengbam Kanan Kumar, Mithlesh Prasad Singh, Aheibam Dinamani Singh, Rajesh Kumar and Kishorjit Nongmeikapam -- 4. Deep learning for cuffless blood pressure monitoring / Jamal Esmaelpoor, Zahra Momayez Sanat and Mohammad Hassan Moradi -- 5. Reliability of machine learning methods for diagnosis and prognosis during the COVID-19 pandemic : a comprehensive critical review / Hamid Reza Marateb, Mohammad Reza Mohebbian, Mehdi Shirzadi, Arezoo Mirshamsi, Shadi Zamani, Atena Abrisham chi, Fatame Bafande and Miguel �Angel Ma�ananas -- 6. Forecasting confirmed cases of Corona patients in India using regression and Gaussian analysis / Dhyan Chandra Yadav and Saurabh Pal -- 7. A model for advanced patient feedback procedures in diagnostics / Marjo Rissanen, Antti Rissanen and Kalle Saastamoinen -- 8. Soft computing techniques for efficient processing of large medical data / Hussain Ahmed Choudhury and Nidul Sinha -- 9. A comparison of Parkinson's disease prediction using ensemble data mining techniques with features selection methods / Dhyan Chandra Yadav and Saurabh Pal -- 10. A comparative analysis of image enhancement techniques for detection of microcalcification in screening mammogram / Gaurav Makwana, Ram Narayan Yadav and Lalita Gupta -- 11. Computational intelligence for eye disease detection / Amit Kumar Verma -- 12. Recent trends in medical image segmentation with special focus on brain tumours and retinal images / Mithlesh Prasad Singh, Aheibam Dinamani Singh, Rajesh Kumar, Kishorjit Nongmeikapam and Wahengbam Kanan Kumar -- 13. Analysis of AI based PID controller for health care system / Vandana Dubey, Harsh Goud and Prakash Chandra Sharma.

Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface of high-performance computing, computational intelligence and medical science, has seen the emergence of intelligent medical systems. These systems can provide a deeper insight into many healthcare and medical problems. They can also aid in controlling, analyzing and the management of medical applications and can provide significant improvement in the quality of life and efficacy of clinical treatment. However, the successful application of high-performance computing in medicine requires in-depth knowledge and understanding of medical systems. This book focuses on the advances and applications of high-performance computing for medical systems and provides an insight into the latest developments in the field. It will help readers to understand the high-performance computing research domain as related to intelligent medical systems, its effect on our lives and its present limitations. Part of IOP Series in Next Generation Computing.

Researchers, scientists and engineers in the fields of medical and healthcare data analysis and computing, and computational intelligence and high performance computing.

Also available in print.

Mode of access: World Wide Web.

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Varun Bajaj (PhD, MIEEE 16 SMIEEE20) has been in the department of Electronics and Communication Engineering, at the Indian Institute of Information Technology, Design, and Manufacturing (IIITDM) Jabalpur, India since 2014. He worked as a visiting faculty in IIITDM Jabalpur from September 2013 to March 2014. He worked as Assistant Professor at the Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India during 2009-2010. He received BE degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006, MTech Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009. He received his PhD degree in the Discipline of Electrical Engineering, at the Indian Institute of Technology Indore, India in 2014. He is an Associate Editor of IEEE Sensor Journal and Subject Editor-in-Chief of IET Electronics Letters. He served as a Subject Editor of IET Electronics Letters from Nov. 2018 to June 2020. He is Senior Member IEEE June 2020, MIEEE 16-20, and also contributes as an active technical reviewer of leading international journals of IEEE, IET, and Elsevier, etc. He has authored more than 110 research papers in various reputed international journals/conferences like IEEE Transactions, Elsevier, Springer, IOP etc. He has edited IOP books, and CRC Press (Taylor & Francis Group). The citation impact of his publications is around 2365 citations, h index of 24, and i10 index of 55 (Google Scholar Sep 2020). He is a recipient of various reputed national and international awards. His research interests include biomedical signal processing, image processing, time-frequency analysis, and computer-aided medical diagnosis. Irshad Ahmad Ansari has been working at the Department of Electronics and Communication Engineering, at PDPM Indian Institute of Information Technology, Design, and Manufacturing (IIITDM) Jabalpur, India since 2017. He received BTech degree in Electronics and Communication Engineering from Gautam Buddha Technical University, Lucknow, India in 2010, MTech Degree in Control and Instrumentation from Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India in 2012. He completed his PhD from IIT Roorkee with MHRD teaching assistantship and subsequently joined Gwangju Institute of Science and Technology, South Korea as a Postdoctoral fellow. His major research interests include image processing, signal processing, soft computing, brain-computer interface and machine learning. He is a Senior IEEE member. He has authored more than 32 research papers in various international journals and conferences.

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