Smart Healthcare for Disease Diagnosis and Prevention

Smart Healthcare for Disease Diagnosis and Prevention

1st Edition - January 14, 2020

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  • Editors: Sudip Paul, Dinesh Bhatia
  • eBook ISBN: 9780128179147
  • Paperback ISBN: 9780128179130

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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.

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


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 1

    Lucas Gabriel Souza Nasta, Lucas Paglioni Pataro Faria and Thiago Ferreira Mares

    1.1 Introduction 1

    1.2 Methodology 1

    1.3 Results 3

    1.4 Discuss and conclusion 4

    Further reading 5

    2. Design and development of command prompt assist device for locked

    in syndrome patients 7

    K. Arun Kumar, P.G. Pavithran and S. Bagyaraj

    2.1 Introduction 7

    2.2 Methodology 7

    2.3 Implementation 8

    2.4 Results and discussions 10

    2.5 Conclusion 12

    Further reading 12

    3. Stem cell factor induces mast cell degranulation and proliferation

    independent of CD81 receptor 15

    Maheswaran Mani

    3.1 Introduction 15

    3.2 Methods 15

    3.3 Flowcytometry 16

    3.4 Tryptase degranulation assay 16

    3.5 Thymidine incorporation 16

    3.6 Results 16

    3.7 SCF induces mast cell degranulation independent of CD81 18

    3.8 SCF induces mast cell proliferation independent of CD81 18

    3.9 Discussion 18

    Acknowledgment 19

    References 19

    4. Triply periodic minimal surface porous implants to reconstruct bone defects 21

    Rati Verma, Nishant Kumar Singh, Sanjay Kumar Rai and Shekhar Kumta

    4.1 Introduction 21

    4.2 Materials and method 22

    4.3 Preparing the gyroid for FEA 23

    4.4 Results 24

    4.5 Discussion 26

    References 27

    5. Preparation and characterization of gold nanoparticles conjugated insulin 29

    Chayanika Devi, Pankaj Kalita, Devashis Choudhury and Manash Barthakur

    5.1 Introduction 29

    5.2 Materials and methods 29

    5.3 Zeta potential studies 30

    5.4 Conclusion 32

    Acknowledgment 32

    References 32

    6. Application of machine learning for early diagnosis of Parkinson’s disease 33

    Sudip Paul and Amitava Datta

    6.1 Introduction 33

    6.2 Literature review 34

    6.3 Convectional diagnosis are inefficient and costly 35

    6.4 Effectiveness of machine learning technique for Parkinson detection 35

    6.5 Discussion 37

    6.6 Importance of machine learning for early detection 38

    6.7 Recommendation 39

    6.8 Conclusion 39

    Acknowledgment 40

    References 40

    7. Power spectrum analysis of heart rate variability during internally and

    externally operative attention 43

    Mukesh Kumar, Dilbag Singh and K.K. Deepak

    7.1 Introduction 43

    7.2 Materials and methods 44

    7.3 Analysis 46

    7.4 Result and discussion 46

    7.5 Conclusion 48

    References 48

    8. Investigation of heart rate variability with the help of Welch periodogram

    in Indian young adults based on body physique 51

    Vishwajeet, Dilbag Singh and K.K. Deepak

    8.1 Introduction 51

    8.2 Materials and methods 53

    8.3 Results and discussion 54

    8.4 Conclusion 56

    References 56

    9. An insight into Parkinson’s disease: researches and its complexities 59

    Angana Saikia, Masaraf Hussain, Amit Ranjan Barua and Sudip Paul

    9.1 Overview 59

    9.2 Advancing researches in Parkinson’s disease 63

    9.3 Role of neurotransmitters in Parkinson’s disease 72

    9.4 Epidemiology of Parkinson’s disease 73

    9.5 Clinical interventions of PD 75

    9.6 Summary 77

    References 77

    Further reading 80

    10. Investigation into the occupational ride comfort due to exposure of whole

    body vibration 81

    Amandeep Singh, Lakhwinder Pal Singh, Harwinder Singh and Sarbjit Singh

    10.1 Introduction 81

    10.2 General details 82

    10.3 Measurement devices/equipments 83

    10.4 Experimental design and data analysis 83

    10.5 Conclusions 87

    Acknowledgment 87

    References 87

    11. Fuzzy entropy based seizure detection algorithms for EEG data analysis 89

    Geetika Srivastava, Alpika Tripathi and P.K. Maurya

    11.1 Introduction 89

    11.2 Materials & methods 92

    11.3 Results 95

    11.4 Conclusion 100

    Acknowledgment 100

    References 100

    12. Low-cost ultrasonic-based shoe for visually impaired people 103

    Shyamal Mandal and Adarsha B. Chandran

    12.1 Introduction 103

    12.2 Description of components 104

    12.3 Light dependent resistor 106

    12.4 Working principle of light dependent resistor 106

    12.5 Buzzer 107

    12.6 Working principal 109

    12.7 Circuit diagram 109

    12.8 Conclusion 113

    References 113

    13. Design of array multiplier circuit using reversible logic approach with

    optimized performance parameters 115

    Vandana Shukla, O.P. Singh, G.R. Mishra and R.K. Tiwari

    13.1 Introduction 115

    13.2 Array multiplier design 116

    13.3 Reversible logic basics 116

    13.4 Proposed reversible array multiplier 118

    13.5 Result and analysis 120

    13.6 Conclusion 122

    References 122

    14. Smart diagnosis of cardiac arrhythmias using optimal feature rank score

    algorithm for solar based energy storage ECG acquisition system 125

    Maheswari Lakshmanan, Hemalatha Karnan and Sivakumaran Natarajan

    14.1 Introduction 125

    14.2 System description 128

    14.3 Solar system with energy storage device 128

    14.4 ECG acquisition system 130

    14.5 ECG-acquisition and pre-processing 131

    14.6 Feature extraction techniques 131

    14.7 Feature selection using region feature ranking score algorithm 132

    14.8 Result and discussion 132

    14.9 Conclusion 137

    References 138

    Further reading 139

    15. Therapeutic approach in cerebral palsy treatment and management:

    outcomes and benefits 141

    Vinay Kumar Pandey and Sudip Paul

    15.1 Introduction 141

    15.2 Co-occurrence of associated problems with CP 142

    15.3 Approaches in treatment and management of CP 144

    References 150

    16. Magnetic nanoparticles mediated cancer hyperthermia 153

    Shorif Ahmed, Bablu Lal Rajak, Manashjit Gogoi and Haladhar Dev Sarma

    Abbreviations 153

    16.1 Introduction 154

    16.2 Overview of cancer treatment 155

    16.3 Magnetic nanoparticles in hyperthermia 156

    16.4 Mechanism of heat dissipation by magnetic nanoparticles 157

    16.5 Mathematic model for determination of body heat 161

    16.6 Different magnetic nanostructures in hyperthermia 161

    16.7 Current status of hyperthermia and combination therapy 166

    16.8 Challenges and future prospect 169

    16.9 Conclusion 170

    References 171

    Further reading 173

    17. Bone cancer detection using machine learning techniques 175

    Deepshikha Shrivastava, Sugata Sanyal, Arnab Kumar Maji and Debdatta Kandar

    17.1 Introduction 175

    17.2 Machine learning techniques for cancer classification 176

    17.3 Machine learning techniques for bone cancer detection 178

    17.4 Conclusion 180

    References 181

    Further reading 182

    18. Introduction to physiology 185

    Rituparna Barooah

    18.1 What is physiology? 185

    18.2 Organization of human physiology 186

    18.3 Knowledge of physiology is essential for the practice of medicine 188

    18.4 Today’s physiology is tomorrow’s medicine-William Osler 189

    18.5 History of physiological sciences 190

    18.6 Conclusion 192

    References 192

    Further reading 192

    19. Basic overview of human physiology 193

    Atul Srivastava, Mrinalini Kumari, Dinesh Prasad Gond and Subhashini

    19.1 Introduction 193

    19.2 Integumentary system 195

    19.3 Musculoskeletal system 196

    19.4 Digestive system 197

    19.5 Respiratory system 198

    19.6 Circulatory system 200

    19.7 Nervous system 202

    19.8 Endocrine system 204

    19.9 Reproductive system 206

    19.10 Excretory system 209

    19.11 Immune system 210

    Conclusion 211

    References 211

    20. Smart healthcare with sensors and wireless body area networking 213

    S. Kumaravel

    20.1 Relevance and introduction 213

    20.2 Smart health care (WBAN) in acute medical care 215

    20.3 A soft ware based flowchart for monitoring tasks in emergency room 216

    20.4 Smart health care (WBAN) when an ill patient being transported 216

    20.5 Smart health care (WBAN) in psychiatry 217

    20.6 Smart health care (WBAN) in infertility 218

    20.7 Smart health care (WBAN) in orthopedics 219

    20.8 Smart health care (WBAN) in internal medicine 220

    20.9 Smart health care (WBAN) in ear-nose-throat care and respiratory medicine 220

    20.10 Smart health care (WBAN) in cardiology 221

    20.11 Smart health care (WBAN) in anesthesia 221

    20.12 Smart health care (WBAN) in neurology and geriatrics 222

    20.13 Smart health care (WBAN) in ophthalmology 223

    20.14 Smart health care (WBAN) in urology and sexual dysfunction 223

    20.15 Smart health care (WBAN) in other special situations 224

    References 225

    21. Muscular load compensation patterns in patients with knee osteo-arthritis 229

    Dinesh Bhatia

    21.1 Introduction 229

    21.2 Methodology 230

    21.3 Results and discussion 233

    21.4 Conclusion 236

    21.5 Limitations and future scope 236

    Acknowledgments 236

    References 236

    Index 239

Product details

  • No. of pages: 270
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: January 14, 2020
  • Imprint: Academic Press
  • eBook ISBN: 9780128179147
  • Paperback ISBN: 9780128179130

About the Editors

Sudip Paul

Dr. Sudip Paul, Post-Doctoral Fellow and PhD, is currently an Assistant Professor & Teacher In-Charge in the Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India. He has published over 40 journal papers, over 35 conference papers, and has contributed his knowledge as editorial board member and reviewer for multiple international journals. He has been granted one patent of eight filled and completed more than ten book projects. Dr. Sudip has presented his research accomplishments in countries around the world. He is a member of multiple societies and professional bodies, including APSN, ISN, IBRO, SNCI, SfN, IEEE, IAS. Dr. Sudip has received many awards, including the World Federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee, and ISN Travel Awardee.

Affiliations and Expertise

Assistant Professor, Department of Biomedical Engineering, School of Technology, North-Eastern Hill University, Shillong, 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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  • Dr. B. Thu Apr 30 2020

    Investigation into the occupational ride comfort due to exposure of whole body vibration

    I found it useful study in performing real field investigations with respect to various area applications like agriculture, industrial, transportation and many more. Mainly, the use of sensors and analysis as well as experiment design technique is interesting.