Mobile Computing Solutions for Healthcare Systems
1st Edition
Published on 23. June 2008
255 pages
978-981-5050-59-2 (ISBN)
Description
This book focuses on recent developments in integrating AI, machine learning methods, medical image processing, advanced network security, and advanced antenna design techniques to implement practical Mobile Health (M-Health) systems. The editors bring together researchers and practitioners who address several developments in the field of M-Health. Chapters highlight intelligent healthcare IoT and Machine Learning based systems for personalized healthcare delivery and remote monitoring applications. The contents also explain medical applications of computing technologies such as Wireless Body Area Networks (WBANs), wearable sensors, multi-factor authentication, and cloud computing. The book is intended as a handy resource for undergraduate and graduate biomedical engineering students and mobile technology researchers who want to know about the recent trends in mobile health technology.
All prices
More details
Content
- Cover
- Title
- Copyright
- End User License Agreement
- Contents
- Foreword 1
- FOREWORD 2
- Foreword 2
- Preface
- List of Contributors
- An SDN Based WBAN using Congestion Control Routing Algorithm with Energy Efficiency
- Poonguzhali S.1,*, Sathish Kumar D.2 and Immanuel Rajkumar R.1
- INTRODUCTION
- Multiuser Detection
- Interference Cancellation
- EXISTING SYSTEM
- Exhaustive Search Method for Channel Estimation For OFDM
- DISADVANTAGES OF EXISTING SYSTEM
- PROPOSED METHODOLOGY
- RESULTS AND DISCUSSION
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- COVID-19 - Novel Short Term Prediction Methods
- Sanjay Raju1, Rishiikeshwer B.S.1, Aswin Shriram T.1, Brindha G.R.1,*, Santhi B.1,* and Bharathi N.2,*
- INTRODUCTION
- The Hurdles in Predicting COVID-19
- Materials and Methods
- Novel Next Day Prediction Method
- Novel M Days Prediction Method
- The Mobile App
- RESULT AND DISCUSSION
- Next Day Prediction Analysis
- N-Days Deviation and M-Days Prediction Analysis
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Intrusion Detection in IoT Based Health Monitoring Systems
- M.N. Ahil1,*, V. Vanitha1 and N. Rajathi1
- INTRODUCTION
- RELATED WORKS
- Host-Based Intrusion Detection System (HIDS)
- Network Intrusion Detection System (NIDS)
- PROPOSED METHOD
- Data Collection
- Pre-Processing
- RESULTS AND DISCUSSION
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENT
- REFERENCES
- Machine Learning Methods For Intelligent Health Care
- K. Kalaivani1,*, G. Valarmathi2, T. Kalaiselvi1 and V. Subashini2
- INTRODUCTION
- APPLICATIONS OF MACHINE LEARNINGIN HEALTH CARE
- Diagnosis of Diseases
- Drugdelivery and Manufacture
- Medical Imaging Diagnosis
- Personalized Medicine
- Machine Learning-Based Behavioral Modification
- Smart Health Records
- Clinical Trial and Research
- Crowd Sourced Data Collection
- Better Radiotherapy
- Outbreak Prediction
- Artificial Intelligence in Healthcare
- Clinical Analysis
- Machine Learning Approaches in Smart Health
- Machine Learning Methods in Smart Health
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENT
- REFERENCES
- Multi-Factor Authentication Protocol Based on Electrocardiography Signals for a Mobile Cloud Computing Environment
- Silas L. Albuquerque1, Cristiano J. Miosso2, Adson F. da Rocha1 ,2 and Paulo R. L. Gondim1 ,*
- INTRODUCTION
- RELATED WORK
- Efficient Privacy-Aware Authentication Scheme for Mobile Cloud Computing Services
- An Enhanced Privacy-Aware Authentication Scheme for Distributed Mobile Cloud Computing Services
- CC Authentication Service Based on Keystroke Standards
- Efficient Authentication System Based on Several Factors For MCC
- Comparison Between the Works Presented and this Work
- PROPOSED PROTOCOL
- Initial Considerations
- The Network Model
- The Authentication Model
- Registration
- Authentication
- Update
- Specific Aspects of the Electrocardiography-Based Process
- Results Analyses from Electrocardiography-Based Authentication Process
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Recent Trends in Mobile Computing in Health Care, Challenges and Opportunities
- S. Kannadhasan1,* and R. Nagarajan2
- INTRODUCTION
- Internet of Things
- VARIOUS SECTOR OF INTERNET OF THINGS
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENT
- REFERENCES
- Secure Medical Data Transmission In Mobile Health Care System Using Medical Image Watermarking Techniques
- B. Santhi1 and S. Priya1,*
- INTRODUCTION
- Performance Measures
- Peak Signal to Noise Ratio (PSNR)
- Normalized Cross-Correlation (NCC)
- Structural Similarity Index (SSIM)
- Number of Pixels Change Rate (NPCR)
- Unified Average Changing Intensity (UACI)
- INTELLIGENT BASED REVERSIBLE MEDICAL IMAGE WATERMARKING
- Preliminaries
- Integer Wavelet Transform (IWT)
- Singular Value Decomposition (SVD)
- Genetic Algorithm (GA)
- Intelligent Based Medical Image Watermarking (IMW)
- Watermark Extraction
- Experimental Results
- VISUALLY MEANINGFUL IMAGE ENCRYPTION (VMIE)
- Decryption and Authentication
- Experimental Analysis
- Keyspace Analysis
- Histogram Attack
- Differential Attack
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Smartphone-Based Real-Time Monitoring and Forecasting of Drinking Water Quality using LSTM and GRU in IoT Environment
- V. Murugan1,*, J. Jeba Emilyn2 and M. Prabu3
- INTRODUCTION
- METHODS AND MATERIALS
- EXPERIMENTS AND DISCUSSION
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENT
- REFERENCES
- IoT-Enabled Crowd Monitoring and Control to Avoid Covid Disease Spread Using Crowdnet and YOLO
- Sujatha Rajkumar1, Sameer Ahamed R.1, Srinija Ramichetty1,* and Eshita Suri1
- INTRODUCTION
- Background of the Research Work
- Literature Survey
- YOLO Model for Crowd Detection
- CrowdNet Algorithm for Crowd Detection
- YOLO Open CV Flow Model
- Data Analytics for Collected Crowd Data Based on Location Tags
- CrowdNet for Crowd Detection
- RESULTS
- CONCLUSION AND FUTURE WORK
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENT
- REFERENCES
- A Game-Based Neurorehabilitation Technology to Augment Motor Activity of Hemiparesis Patients
- J. Sofia Bobby1,*, B. Raghul2 and B. Priyanka3
- INTRODUCTION
- Anatomy and Physiology of Brain
- Frontal Lobe
- Temporal Lobe
- Parietal Lobe
- Occipital Lobe
- Definition of Stroke
- Ischemic Stroke
- Embolic Stroke
- Hemorrhagic Stroke
- Intracerebral Stroke
- Symptoms
- Causes
- Diagnosis
- Treatment and Recovery
- Existing Technology
- Therapeutic Rehabilitation Exercise
- Music Therapy
- Constraint Induced Movement Therapy
- Robot-Based Rehabilitation
- Mirror Therapy
- Magnetic Brain Stimulation
- Problems with Conventional Technology
- Objective
- HISTORY OF NEUROREHABILITATION
- Historical Perspectives
- Origins of the Neurofacilitation Approaches
- Developments in the 1980s
- Five Main Approaches
- Constraint-Induced Movement Therapy
- Weight-Supported Treadmill Training
- Constraint-Induced Language Therapy
- Prism Adaptation Training For Spatial Neglect
- Transcranial Magnetic Stimulation
- HARDWARE AND SOFTWARE
- Hardware
- Arduino UNOBoard
- Sensor
- Accelerometer
- Capacitive Touch Electrodes
- Hand Glove Model
- Software
- Arduino
- Unity
- Methodology
- Exercises Focused
- Games Designed
- Fish Saver
- Black Hole Mystery
- Whack - A -Mole
- Block Diagram
- Game Based Rehabilitation Technology
- Developed Neurorehabilitation Technology
- Feedback
- Visual Feedbacks
- Auditory Feedback
- Score System
- EVALUATION BEFORE NEUROREHABILITATION TRAINING
- Evaluation of Subject 1
- Evaluation of Subject 2
- Evaluation of Subject 3
- Evaluation of Subject 4
- Evaluation of Subject 5
- Neurorehabilitation Training
- Neurorehabilitation To Subject 1
- Neurorehabilitation To Subject 2
- RESULT & DISCUSSION
- Fish Saver
- Score Analysis
- Time Analysis
- Blackhole Mystery
- Score Analysis
- Time Analysis
- Whack-A-Mole
- Score Analysis
- CONCLUSION AND FUTURE WORKS
- Conclusion
- Future Work
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENT
- REFERENCES
- Smart Wearable Sensor Design Techniques For Mobile Health Care Solutions
- K. Vijaya1,* and B. Prathusha Laxmi2
- INTRODUCTION TO THE SENSOR TECHNOLOGY
- DIFFERENT TYPES OF SENSORS AND THE PHYSIOLOGICAL PARAMETERS THEY COULD DETECT
- INTRODUCTION TO WIRELESS SENSORS COMMUNICATION
- INTEGRATION OF SENSORS AND OTHER RELATED TECHNOLOGIES TO CREATE SMART WEARABLE DEVICE
- DIFFERENT WEARABLE DEVICES THAT HAVE BEEN DESIGNED AND USED
- Infants and Adults
- Self-Tracking and Monitoring
- CONCLUDING REMARKS
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENT
- REFERENCES
- Subject Index
- Back Cover
