Smart Healthcare for Disease Diagnosis and Prevention - 1st Edition - ISBN: 9780128179130

Smart Healthcare for Disease Diagnosis and Prevention

1st Edition

Editors: Sudip Paul Dinesh Bhatia
Paperback ISBN: 9780128179130
Imprint: Academic Press
Published Date: 1st January 2020
Page Count: 276
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Description

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.

Key Features

  • 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

Readership

Smart healthcare for disease diagnosis and prevention focuses on the advancement in healthcare technology to improve human health at all levels

Table of Contents

1. A very short story for a new future
Thiago Mares, Sudip Paul, Dinesh Bhatia and Lucas Gabriel Souza Nasta
2. Detection and Classification of Myocardial Infarction using Multiscale Energy Features from Wavelet Subbands
Ato Kapfo, Sudip Paul, Debashis Jyotishi, Dinesh Bhatia, Samarendra Dandapat and Prabin Kumar Bora
3. A Novel Convolutional Neural Network based Architecture for Early Detection of Age Related Macular Degeneration
Vineeta Das, Sudip Paul, Dinesh Bhatia, Samarendra Dandapat and Prabin Kumar Bora
4. Real time implementation of motion transfer mechanism for master slave robotic configuration
Vikash Shaw, Sudip Paul, Parul Rani, Dinesh Bhatia, Yogesh Kumar, Ranjan Jha, Sanjeev Kumar and Dinesh Pankaj
5. Design and development of command prompt assist device for locked-in syndrome patients
Sudip Paul, Arun Kumar K, Dinesh Bhatia, Pavithran P G and Bagyaraj S
6. A novel approach of EMG signal acquisition of forearm muscles to predict the hand motions
Parul Rani, Sudip Paul, Dinesh Bhatia, Amal Kumar Das, Vikash Shaw, Yogesh Kumar, Ranjan Jha and Sanjeev Kumar
7. Design and Development of finger probe for non-invasively diagnosis of Anemia
Yogesh Kumar, Sudip Paul, Dinesh Bhatia, Varun Dhiman, Vikash Shaw, Parul Rani, Ranjan Jha and Sanjeev Kumar
8. Evaluation of perceptual features for classification of pathological murmurs in heart sound
Sudip Paul, Alex Paul Kamson, Laxmi Narayan Sharma, Dinesh Bhatia and Samarendra Dandapat
9. Alternate Therapeutic Strategies Using Nano-based Drug Delivery Efforts Especially in Neural Disorder
Sudip Paul, Pankaj Kalita, Manash Barthakur IV, Dinesh Bhatia and Pichili Vijaya Bhaskar Reddy
10. Stem Cell Factor induces Mast Cell Degranulation and Proliferation independent of CD81 receptor
Sudip Paul, Maheswaran Mani and Dinesh Bhatia
11. A novel automatic detection of posterior myocardial infarction from healthy control subjects using vectorcardiogram mean electrical vector contours
Sudip Paul, Eedara Prabhakararao, Ato Kapfo, Dinesh Bhatia and Samarendra Dandapat
12. Automatic estimation of breathing rate and heart rate from multi-lead electrocardiogram signals using heart vector projections
Sudip Paul, Eedara Prabhakararao, Dinesh Bhatia and Samarendra Dandapat
13. Triply Periodic Minimal Surface Porous Implants to reconstruct Bone Defects
Sudip Paul, Rati Verma, Dinesh Bhatia, Nishant Kumar Singh, Sanjay Kumar Rai and Shekhar Kumta
14. Preparation and characterization of gold nanoparticles conjugated insulin
Sudip Paul, Manash Barthakur IV, Dinesh Bhatia, Pankaj Kalita, Chayanika Devi and Devasish Chowdhury
15. Application of Machine learning for early diagnosis of Parkinson’s disease
Sudip Paul, Dinesh Bhatia and Amitava Datta
16. Power Spectrum Analysis of Heart Rate Variability during Internally and Externally Operative Attention
Sudip Paul, Mukesh Kumar, Dinesh Bhatia, Dilbag Singh and K.K. Deepak
17. Two-way authentication systems in internet of things (iot) for impersonation attacks
Sudip Paul, Meena K, Dinesh Bhatia and Suresh Mundru M
18. FDST Based Spatio -Spectral Method for Identification of Cardiac Remodeling in Hypertensive
Raghuvendra Pratap Tripathi, Sudip Paul, Sristi Jha, Dinesh Bhatia and Ankita Tiwari
19. Low cost Patient Monitoring System for Elder Care in India
Sudip Paul, Chandra Shekhar Sengupta, Joysankar Sengupta, Dinesh Bhatia, Amit Debnath and Swanirbhar Majumder
20. Investigation of heart rate variability with the help of welch periodogram in Indian young adults based on body physique
Vishwajeet Vishwajeet, Sudip Paul, Dilbag Singh, Dinesh Bhatia and K.K. Deepak
21. Significance of Lyapunov Exponent in Parkinson`s Disease using Electroencephalography
Sudip Paul, Angana Saikia, Dinesh Bhatia, Masaraf Hussain and Amit Ranjan Barua
22. Identifying directionality changes between cardiovascular and respiratory signals during deep breathing
Sudip Paul, Helen Mary M C, Dinesh Bhatia, Dilbag Singh and K.K. Deepak
23. Application of Cloud and IoT in Remote ECG Analysis and Smart Healthcare
Sudip Paul, Raghuvendra Pratap Tripathi, Dinesh Bhatia, Ankita Tiwari and G.R. Mishra
24. Whole Body Vibration: Effect of Exposure Levels on Tractor Ride Comfort
Lakhwinder Pal Singh, Sudip Paul, Amandeep Singh, Dinesh Bhatia, Sarbjit Singh and Harwinder Singh
25. Fuzzy Entropy Based Seizure Detection in Epileptic EEG Data Analysis
Geetika Srivastava I, Sudip Paul, Alpika Tripathi, Dinesh Bhatia and Pradeep Kumar Maurya
26. Analysis of Epileptic seizures using Electroencephalography signals and High-resolution time-frequency based features
Karthick P A, Sudip Paul, Sivakumaran N, Dinesh Bhatia, Jero Edwards and Avanish Kumar Singh
27. Low cost ultrasonic based shoe for visually impaired peoples
Sudip Paul, Adarsha B. Chandan, Dinesh Bhatia and Shyamal Mandal
28. Semiconductor Quantum Dots as Smart Biocompatible Imaging Agents
Jyoti Narayan, Sudip Paul, Dinesh Bhatia and Jejiron Baruah
29. Identification and location testing techniques for underground cable faults
Sudip Paul, Utkarsh Yadav, Dinesh Bhatia and Dilbag Singh
30. Design of Array Multiplier Circuit Using Reversible Logic Approach With Optimised Performance Parameters
Sudip Paul, Vandana Shukla, Dinesh Bhatia, O.P. Singh, Raj Kumar Tiwari and G.R. Mishra
31. Numerical investigation into electro-thermal processing of bio-compatible magnesium alloys
Sudip Paul, Shrikrishna N. Joshi, Dinesh Bhatia and Sanghamitra Das
32. A Wireless Foot Plantar Measurement System for Gait Analysis
Sudip Paul, Arunganesk K., Dinesh Bhatia, Avanish Kumar Singh, Sivakumaran N, Karthick P A and Kumaravel Shanmugasundaram
33. Therapeutic Devices in Cerebral Palsy Treatment and Management: outcomes and Benefits
Sudip Paul, Vinay Kumar Pandey and Dinesh Bhatia
34. Cortical Dynamics during Balancing through EEG: A Review
Aayushi Khajuria, Sudip Paul, Dinesh Bhatia, Ashutosh Tiwari, Deepak Joshi and Upinderpal Singh
35. Magnetic nanoparticles mediated cancer hyperthermia
Sudip Paul, Shorif Ahmed, Dinesh Bhatia, LalBablu Lal Rajak, Manashjit Gogoi, Davidson Pyngrope and Haladhar Dev Sarma
36. 3D bioprinting for diagnostic and therapeutic application
Sudip Paul, Nitin Sahai, Dinesh Bhatia and Manashjit Gogoi
37. Bone Cancer Detection Using Machine Learning Techniques
Deepshikha Shrivastava, Sudip Paul, Sugata Sanya, Dinesh Bhatia, Arnab Kumar Maji and Debdatta Kandar
38. Role of Artificial Intelligence for Neuro Rehabilitation Engineering
Sudip Paul, Sateesh Reddy Avutu and Dinesh Bhatia

Details

No. of pages:
276
Language:
English
Copyright:
© Academic Press 2020
Published:
Imprint:
Academic Press
Paperback ISBN:
9780128179130

About the Editor

Sudip Paul

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.

Affiliations and Expertise

Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), India

Dinesh Bhatia

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.

Affiliations and Expertise

Department of Biomedical Engineering, School of Technology, North Eastern Hill University (NEHU), India

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