COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Smart Healthcare for Disease Diagnosis and Prevention - 1st Edition - ISBN: 9780128179130, 9780128179147

Smart Healthcare for Disease Diagnosis and Prevention

1st Edition

4.0 star rating 1 Review
Editors: Sudip Paul Dinesh Bhatia
Paperback ISBN: 9780128179130
eBook ISBN: 9780128179147
Imprint: Academic Press
Published Date: 17th January 2020
Page Count: 270
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


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


No. of pages:
© Academic Press 2020
17th January 2020
Academic Press
Paperback ISBN:
eBook ISBN:

About the Editors

Sudip Paul

Dr Sudip Paul completed his B.Tech and M.Tech degree in biomedical engineering. He received his PhD from Indian Institute of Technology, Banaras Hindu University, Varanasi, India, with specialization in electrophysiology and brain signal analysis. He received first prize of the Sushruta Innovation Award in 2011, sponsored by the Indian government’s Department of Science and Technology. He also organized many workshops and conferences, including the 29th Annual Meeting of the Society for Neurochemistry in India. He worked as a postdoc fellow at Biotechnology Overseas Associateship for the Scientists in North Eastern States of India, supported by Department of Department of Biotechnology, Government of India, from 2017-18. Dr. Sudip has published over 70 international journal and conference papers and completed one patent. He also wrote two books published by LAP LAMBERT Academic Publishing, Germany, and published three book chapters in different international publishers.

Affiliations and Expertise

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

Ratings and Reviews