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Smart Healthcare for Disease Diagnosis and Prevention

  • ID: 4806678
  • Book
  • January 2020
  • Region: Global
  • 270 Pages
  • Elsevier Science and Technology
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Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering.

The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views.

  • Discusses how new advanced technologies are used in real healthcare applications to improve patient safety
  • Explores how medical data such as signals and images can be used in diagnosis
  • Covers how wireless communications devices, such as sensor networks, RFID, wireless body area network, and wearable sensors are used in the medical environment

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1. A very short story for a new future 2. Design and development of command prompt assist device for locked in syndrome patients 3. Stem cell factor induces mast cell degranulation and proliferation independent of CD81 receptor 4. Triply periodic minimal surface porous implants to reconstruct bone defects 5. Preparation and characterization of gold nanoparticles conjugated insulin 6. Application of machine learning for early diagnosis of Parkinson's disease 7. Power spectrum analysis of heart rate variability during internally and externally operative attention 8. Investigation of heart rate variability with the help of Welch periodogram in Indian young adults based on body physique 9. An insight into Parkinson's disease: researches and its complexities 10. Investigation into the occupational ride comfort due to exposure of whole body vibration 11. Fuzzy entropy based seizure detection algorithms for EEG data analysis 12. Low-cost ultrasonic-based shoe for visually impaired people 13. Design of array multiplier circuit using reversible logic approach with optimized performance parameters 14. Smart diagnosis of cardiac arrhythmias using optimal feature rank score algorithm for solar based energy storage ECG acquisition system 15. Therapeutic approach in cerebral palsy treatment and management: Outcomes and benefits 16. Magnetic nanoparticles mediated cancer hyperthermia 17. Bone cancer detection using machine learning techniques 18. Introduction to physiology 19. Basic overview of human physiology 20. Smart healthcare with sensors and wireless body area networking 21. Muscular load compensation patterns in patients with knee osteo-arthritis

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Paul, Sudip
Dr Paul completed his B.Tech and M.Tech degree in Biomedical Engineering. Also he received his Ph.D degree from Indian Institute of Technology (Banaras Hindu University), Varanasi with specialization in Electrophysiology and brain signal analysis. He has many credentials in his credit out of which his First Prize in Sushruta Innovation Award 2011 sponsored by Department of Science and Technology, Govt. of India and also he also organized co many workshops and conferences out of which most significant are the 29th Annual meeting of the Society for Neurochemistry, India and IRBO/APRC Associate School 2017. He was selected as Post Doc Fellow under Biotechnology Overseas Associateship for the Scientists working in North Eastern States of India: 2017-18 supported by Department of Department of Biotechnology, Government of India. Dr. Sudip published more than 70 International journal and conference papers and also filled one patent. Recently he wrote two books published by LAP LAMBERT Academic Publishing, Germany and also published three book chapters in different international publishers.
Bhatia, Dinesh
Dr. Dinesh Bhatia pursued his PhD in Biomechanics and Rehabilitation Engineering from MNNIT, Allahabad, India in 2010 with Bachelor's (2002) and Master's degree (2004) in Biomedical Engineering from Mumbai University. He completed his MBA from IMT Ghaziabad in 2007. He was selected for the "Young Scientist Award (BOYSCAST)” in (2011-12) by Government of India to pursue research in osteoarthritis (OA) for one year at Adaptive Neural Systems Laboratory, Biomedical Engineering Department, Florida International University, Miami, Florida, USA. He is also the recipient of "INAE fellowship award” in 2011 by Indian National Academy of Engineering. He was selected as one of the twelve young Biomedical scientists by the ICMR, Govt. of India to pursue research fellowship (2014-15) in the field of sensory prosthetics at University of Glasgow, Scotland, UK. He has attended Biomechanics and human Gait training at Munich, Germany in March, 2017 and training of use of rTMS, EEG and EMG in disabled children in Ivanovo, Russia in September, 2017. He has several research papers in reputed journals, conference, seminars and symposia with teaching and research experience of more than thirteen (13) years. He is invited panel member of many professional bodies, editorial boards, committees, societies and forums. He is currently having several funded projects from Government of India on physically challenged, disabled and paralyzed persons. He authored a book titled "Medical Informatics” published (2015) by PHI and "Current aspects in Stroke Rehabilitation” (2016) by ABS Publishers. His research focuses on understanding muscle mechanics, joint kinematics and dynamics involved in performing locomotion and routine tasks and undermining it effects during an injury or disease. His interest areas are medical instrumentation, biomechanics and rehabilitation engineering, medical informatics, signal and image processing, marketing and international business.
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