Mobile computing solutions for healthcare systems / R. Sivakumar [and five others].

Format:

Book

Author/Creator:

Civakumār, Ār., author.

Language:

English

Subjects (All):

Medical innovations.

Medical technology.

Telecommunication in medicine.

Physical Description:

1 online resource (247 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers, [2023]

Summary:

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.

Contents:

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,*

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

Intrusion Detection in IoT Based Health Monitoring Systems

M.N. Ahil1,*, V. Vanitha1 and N. Rajathi1

RELATED WORKS

Host-Based Intrusion Detection System (HIDS)

Network Intrusion Detection System (NIDS)

PROPOSED METHOD

Data Collection

Pre-Processing

ACKNOWLEDGEMENT

Machine Learning Methods For Intelligent Health Care

K. Kalaivani1,*, G. Valarmathi2, T. Kalaiselvi1 and V. Subashini2

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

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 ,*

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

Recent Trends in Mobile Computing in Health Care, Challenges and Opportunities

S. Kannadhasan1,* and R. Nagarajan2

Internet of Things

VARIOUS SECTOR OF INTERNET OF THINGS

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

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

METHODS AND MATERIALS

EXPERIMENTS AND DISCUSSION

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

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

A Game-Based Neurorehabilitation Technology to Augment Motor Activity of Hemiparesis Patients

J. Sofia Bobby1,*, B. Raghul2 and B. Priyanka3

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 &amp

DISCUSSION

Score Analysis

Time Analysis

Blackhole Mystery

Whack-A-Mole

CONCLUSION AND FUTURE WORKS

Conclusion

Future Work

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

Subject Index

Back Cover.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9789815050592

9815050591

OCLC:

1373343913