Reinvention of Health Applications with IoT
portes grátis
Reinvention of Health Applications with IoT
Challenges and Solutions
Ambikapathy; R., Shobana; Logavani; Dharmasa
Taylor & Francis Ltd
10/2024
191
Mole
9780367763374
15 a 20 dias
Descrição não disponível.
Contents
Preface......................................................................................................................vii
About the Editors.......................................................................................................ix
Chapter 1 Deep Machine Learning for Sensing, Analysis,
and Interpretation in IoT Healthcare.....................................................1
S.O. Owoeye, K.I. Adenuga, O.J. Odeyemi, and C.B. Emele
Chapter 2 IoT-Based Personalized Health and Fitness Monitoring
System: The Next Big Thing............................................................... 19
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 3 A Novel LC-DEH Algorithm to Enhance Efficiency and
Security for Reliable Data Transmission in Blockchain with
IoT-Based Healthcare Systems............................................................ 31
G. Uganya, Radhika Baskar, M. Balasaraswathi,
N. Vijayaraj, and D. Rajalakshmi
Chapter 4 Introduction to Blockchain Technology and Its Role
in the Healthcare Sector...................................................................... 55
Sumit Koul and Tulasi Krishna
Chapter 5 Emerging IoT Applications: Smart Dialysis Monitoring System........... 81
N. Vedanjali, Pappula Rajasri, Mahima Rajesh,
V.R. Anishma, and G. Kanimozhi
Chapter 6 Role of Analytics in IoT: A Development of AAAS...........................93
S. Manikandan, K. Gowrishankar, and Jagadeesh Pasupuleti
Chapter 7 IoT in M-Health Care........................................................................ 109
Himanshu Singh, Ahmad Faraz, Justice Ohene-Akoto,
and D.V. Sneha
Chapter 8 IoT-Based Anaesthesia Control and Monitoring System.................. 127
Mangolik Kundu, Souvik Datta, and G. Kanimozhi
Chapter 9 Implantable Electronics: Real-Time Adaptive Image
Security of Smart Visual Sensor Nod............................................... 141
R. Nithya Paranthaman and D. Dhanasekaran
Chapter 10 Security Concerns with IoT-Based Health and
Fitness Systems................................................................................. 155
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 11 Emerging eHealth IoT Applications: A Review
on Kiosk-Based Systems................................................................... 163
Sushant, Akarsh Saxena, Mokhtar Shouran,
and D.V. Deepikaa
Chapter 12 Early Identification of Medical Image Analysis for
Normal and Abnormal Fetal Heart Rate: A Predictive
Optimization Design......................................................................... 181
N. Nalini, D. Dhanasekaran, and N. Prabhakaran
Index.......................................................................................................................
Preface......................................................................................................................vii
About the Editors.......................................................................................................ix
Chapter 1 Deep Machine Learning for Sensing, Analysis,
and Interpretation in IoT Healthcare.....................................................1
S.O. Owoeye, K.I. Adenuga, O.J. Odeyemi, and C.B. Emele
Chapter 2 IoT-Based Personalized Health and Fitness Monitoring
System: The Next Big Thing............................................................... 19
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 3 A Novel LC-DEH Algorithm to Enhance Efficiency and
Security for Reliable Data Transmission in Blockchain with
IoT-Based Healthcare Systems............................................................ 31
G. Uganya, Radhika Baskar, M. Balasaraswathi,
N. Vijayaraj, and D. Rajalakshmi
Chapter 4 Introduction to Blockchain Technology and Its Role
in the Healthcare Sector...................................................................... 55
Sumit Koul and Tulasi Krishna
Chapter 5 Emerging IoT Applications: Smart Dialysis Monitoring System........... 81
N. Vedanjali, Pappula Rajasri, Mahima Rajesh,
V.R. Anishma, and G. Kanimozhi
Chapter 6 Role of Analytics in IoT: A Development of AAAS...........................93
S. Manikandan, K. Gowrishankar, and Jagadeesh Pasupuleti
Chapter 7 IoT in M-Health Care........................................................................ 109
Himanshu Singh, Ahmad Faraz, Justice Ohene-Akoto,
and D.V. Sneha
Chapter 8 IoT-Based Anaesthesia Control and Monitoring System.................. 127
Mangolik Kundu, Souvik Datta, and G. Kanimozhi
Chapter 9 Implantable Electronics: Real-Time Adaptive Image
Security of Smart Visual Sensor Nod............................................... 141
R. Nithya Paranthaman and D. Dhanasekaran
Chapter 10 Security Concerns with IoT-Based Health and
Fitness Systems................................................................................. 155
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 11 Emerging eHealth IoT Applications: A Review
on Kiosk-Based Systems................................................................... 163
Sushant, Akarsh Saxena, Mokhtar Shouran,
and D.V. Deepikaa
Chapter 12 Early Identification of Medical Image Analysis for
Normal and Abnormal Fetal Heart Rate: A Predictive
Optimization Design......................................................................... 181
N. Nalini, D. Dhanasekaran, and N. Prabhakaran
Index.......................................................................................................................
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Arduino UNO;mHealth;IoT Device;M2M;RGB Colour Image;Machine to Machine;CRRT.;Telemedicine;IoT System;Big Data;Blockchain Technology;mHealthcare;IoT Healthcare;LCD Display;Firefly Optimization Algorithm;LM35 Temperature Sensor;Fetal ECG;IoT Security;IoT Gateway;Arduino Ide;Business Process;IoT Architecture;Smart Phone;Smart Wheelchairs;Smart Devices;OLED Display;RGB Image;Soft Core Processor;IoT Application;Image Encryption;Deep Learning Algorithms
Contents
Preface......................................................................................................................vii
About the Editors.......................................................................................................ix
Chapter 1 Deep Machine Learning for Sensing, Analysis,
and Interpretation in IoT Healthcare.....................................................1
S.O. Owoeye, K.I. Adenuga, O.J. Odeyemi, and C.B. Emele
Chapter 2 IoT-Based Personalized Health and Fitness Monitoring
System: The Next Big Thing............................................................... 19
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 3 A Novel LC-DEH Algorithm to Enhance Efficiency and
Security for Reliable Data Transmission in Blockchain with
IoT-Based Healthcare Systems............................................................ 31
G. Uganya, Radhika Baskar, M. Balasaraswathi,
N. Vijayaraj, and D. Rajalakshmi
Chapter 4 Introduction to Blockchain Technology and Its Role
in the Healthcare Sector...................................................................... 55
Sumit Koul and Tulasi Krishna
Chapter 5 Emerging IoT Applications: Smart Dialysis Monitoring System........... 81
N. Vedanjali, Pappula Rajasri, Mahima Rajesh,
V.R. Anishma, and G. Kanimozhi
Chapter 6 Role of Analytics in IoT: A Development of AAAS...........................93
S. Manikandan, K. Gowrishankar, and Jagadeesh Pasupuleti
Chapter 7 IoT in M-Health Care........................................................................ 109
Himanshu Singh, Ahmad Faraz, Justice Ohene-Akoto,
and D.V. Sneha
Chapter 8 IoT-Based Anaesthesia Control and Monitoring System.................. 127
Mangolik Kundu, Souvik Datta, and G. Kanimozhi
Chapter 9 Implantable Electronics: Real-Time Adaptive Image
Security of Smart Visual Sensor Nod............................................... 141
R. Nithya Paranthaman and D. Dhanasekaran
Chapter 10 Security Concerns with IoT-Based Health and
Fitness Systems................................................................................. 155
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 11 Emerging eHealth IoT Applications: A Review
on Kiosk-Based Systems................................................................... 163
Sushant, Akarsh Saxena, Mokhtar Shouran,
and D.V. Deepikaa
Chapter 12 Early Identification of Medical Image Analysis for
Normal and Abnormal Fetal Heart Rate: A Predictive
Optimization Design......................................................................... 181
N. Nalini, D. Dhanasekaran, and N. Prabhakaran
Index.......................................................................................................................
Preface......................................................................................................................vii
About the Editors.......................................................................................................ix
Chapter 1 Deep Machine Learning for Sensing, Analysis,
and Interpretation in IoT Healthcare.....................................................1
S.O. Owoeye, K.I. Adenuga, O.J. Odeyemi, and C.B. Emele
Chapter 2 IoT-Based Personalized Health and Fitness Monitoring
System: The Next Big Thing............................................................... 19
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 3 A Novel LC-DEH Algorithm to Enhance Efficiency and
Security for Reliable Data Transmission in Blockchain with
IoT-Based Healthcare Systems............................................................ 31
G. Uganya, Radhika Baskar, M. Balasaraswathi,
N. Vijayaraj, and D. Rajalakshmi
Chapter 4 Introduction to Blockchain Technology and Its Role
in the Healthcare Sector...................................................................... 55
Sumit Koul and Tulasi Krishna
Chapter 5 Emerging IoT Applications: Smart Dialysis Monitoring System........... 81
N. Vedanjali, Pappula Rajasri, Mahima Rajesh,
V.R. Anishma, and G. Kanimozhi
Chapter 6 Role of Analytics in IoT: A Development of AAAS...........................93
S. Manikandan, K. Gowrishankar, and Jagadeesh Pasupuleti
Chapter 7 IoT in M-Health Care........................................................................ 109
Himanshu Singh, Ahmad Faraz, Justice Ohene-Akoto,
and D.V. Sneha
Chapter 8 IoT-Based Anaesthesia Control and Monitoring System.................. 127
Mangolik Kundu, Souvik Datta, and G. Kanimozhi
Chapter 9 Implantable Electronics: Real-Time Adaptive Image
Security of Smart Visual Sensor Nod............................................... 141
R. Nithya Paranthaman and D. Dhanasekaran
Chapter 10 Security Concerns with IoT-Based Health and
Fitness Systems................................................................................. 155
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 11 Emerging eHealth IoT Applications: A Review
on Kiosk-Based Systems................................................................... 163
Sushant, Akarsh Saxena, Mokhtar Shouran,
and D.V. Deepikaa
Chapter 12 Early Identification of Medical Image Analysis for
Normal and Abnormal Fetal Heart Rate: A Predictive
Optimization Design......................................................................... 181
N. Nalini, D. Dhanasekaran, and N. Prabhakaran
Index.......................................................................................................................
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Arduino UNO;mHealth;IoT Device;M2M;RGB Colour Image;Machine to Machine;CRRT.;Telemedicine;IoT System;Big Data;Blockchain Technology;mHealthcare;IoT Healthcare;LCD Display;Firefly Optimization Algorithm;LM35 Temperature Sensor;Fetal ECG;IoT Security;IoT Gateway;Arduino Ide;Business Process;IoT Architecture;Smart Phone;Smart Wheelchairs;Smart Devices;OLED Display;RGB Image;Soft Core Processor;IoT Application;Image Encryption;Deep Learning Algorithms
