Artificial Intelligence in Telemedicine
Processing of Biosignals and Medical Images
Herausgeber: Kumar, S N; Siddiqui, Farheen; Alam, M Afshar; Babulak, Eduard; Zafar, Sherin
Artificial Intelligence in Telemedicine
Processing of Biosignals and Medical Images
Herausgeber: Kumar, S N; Siddiqui, Farheen; Alam, M Afshar; Babulak, Eduard; Zafar, Sherin
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This book explores the role of computational algorithms in telemedicine. It explains the concepts through the detailed study and processing of biosignals, physiological parameters, and medical images. The book focuses on describing applications, encouraging advances, and valuable discoveries of telemedicine.
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This book explores the role of computational algorithms in telemedicine. It explains the concepts through the detailed study and processing of biosignals, physiological parameters, and medical images. The book focuses on describing applications, encouraging advances, and valuable discoveries of telemedicine.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 268
- Erscheinungstermin: 1. August 2023
- Englisch
- Abmessung: 234mm x 156mm x 18mm
- Gewicht: 576g
- ISBN-13: 9781032309316
- ISBN-10: 1032309318
- Artikelnr.: 67825336
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 268
- Erscheinungstermin: 1. August 2023
- Englisch
- Abmessung: 234mm x 156mm x 18mm
- Gewicht: 576g
- ISBN-13: 9781032309316
- ISBN-10: 1032309318
- Artikelnr.: 67825336
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Dr.S. N Kumar is currently an Associate. Professor, Dept. of Electrical and Electronics Engineering., Amal Jyothi College of Engineering, Kanjirappally, Kerala. He was awarded PhD in Electronics and Communication Engineering from Sathyabama Institute of Science and Technology, Chennai. He has 15 years of teaching experience, and his areas of interest include Medical Image Processing and Embedded System Applications in Telemedicine. He was the Co-Principal Investigator of the DST IDP-funded project and research fellow of the RCA scheme, NTU Singapore. Dr. Sherin Zafar is an Assistant Professor, Computer Science and Engineering at the School of Engineering Sciences & Technology, Jamia Hamdard with a decade of successful experience in teaching and research management. She specializes in Wireless Networks, Soft Computing, and Network Security and has great profile in Scopus, Mendeley, Google Scholar, Research Gate and Publons. With about half-century of papers published in Scopus, SCI and peer reviewed journals double century of papers reviewed and also Editorial Board and Editor in Chief of many reputed and Scopus indexed journals. Has published 3 patents on Block Chain technology, Co-PI for FIST project of DST and Pi for 2 Unnat Bharat projects. A strong believer in the power of positive thinking in the workplace, Dr. Sherin regularly develops internship and career campaigns for students through Internshala and Epoch (Literary and Cultural Society) Groups and guided huge number of graduate, post graduate and also PhD students. Dr Sherin has been session chairs for 7+ international conferences, keynote speaker, resource person for 100+ webinars and FDP's for renowned institutions, AICTE STTP and for AICTE ATAL FDP. Sherin enjoys a good Netflix and Cricket binge but can also be found on long drives rides on country roads." Dr Eduard Babulak is an accomplished international scholar, researcher, consultant, educator, professional engineer, and polyglot with more than thirty years of teaching experience and industrial experience as a professional engineer and consultant. Dr Mohammad Afshar Alam is currently working as Vice-Chancellor and Professor, Dean of School of Engineering Sciences and Technology at Jamia Hamdard, New Delhi. His research areas include Software Re-engineering, Data Mining, Bio-Informatics, Fuzzy databases, and Sustainable Development. Dr Farheen has a professional experience spanning over more than 20 years of teaching, research and project supervision. She has supervised more than 100 students for interdisciplinary research and project supervision. She has many research papers published in renowned national and international journals and conference proceedings. Apart from this she is also a member of editorial board of many journals. Her primary area of research is Data analytics, Cloud computing and Semantic Web.
PART 1 Biosignal and Medical Image Processing for Disease Diagnosis
Chapter 1 Lightweight One-Dimensional CNN for Cardiac Arrhythmia
Classification
Chapter 2 An Automatic System for Pertussis Diagnosis with Temperature
Monitoring Using CNN
Chapter 3 DocPresRec: Doctor's Handwritten Prescription Recognition Using
Deep Learning Algorithm
Chapter 4 An Efficient Deep Learning Approach for Brain Stroke Detection:
Application of Telemedicine
Chapter 5 An Automated Detection of Notable ABCD Diagnostics of Melanoma in
Dermoscopic Images
Chapter 6 Comparative Study of CNN and LSTM-Based Hand Gesture
Classification Using EMG Signals
Chapter 7 Improved Transfer Learning-Enabled Heuristic Technique for
Pneumonia Detection on Graphical Processing Unit Platform
Chapter 8 Improved Adaptive Learning Framework for an Effective Removal of
Noise in ECG Signal for Telemedicine System
PART 2 Role of Artificial Intelligence and IoT in Health Care
Chapter 9 Human Disease Prediction System - Application of AI Techniques in
Chronic Diseases
Chapter 10 Internet of Things in Mental Healthcare Worldwide - A Study
Chapter 11 Internet of Things: A Promise to Smart Healthcare
Chapter 12 A Brief Review on Wireless Capsule Endoscopy Image Compression
Chapter 13 A Comprehensive Review on Leukemia Diseases Based on Microscopic
Blood Cell Images
Chapter 14 Effects of Numerical Mapping Techniques on Performance in
Genomic Signal Processing
Chapter 15 Importance of 5G/6G in Telemedicine System during the Pandemic
Situation
Chapter 16 Applications of Artificial Intelligence Techniques in Healthcare
Industry
Chapter 1 Lightweight One-Dimensional CNN for Cardiac Arrhythmia
Classification
Chapter 2 An Automatic System for Pertussis Diagnosis with Temperature
Monitoring Using CNN
Chapter 3 DocPresRec: Doctor's Handwritten Prescription Recognition Using
Deep Learning Algorithm
Chapter 4 An Efficient Deep Learning Approach for Brain Stroke Detection:
Application of Telemedicine
Chapter 5 An Automated Detection of Notable ABCD Diagnostics of Melanoma in
Dermoscopic Images
Chapter 6 Comparative Study of CNN and LSTM-Based Hand Gesture
Classification Using EMG Signals
Chapter 7 Improved Transfer Learning-Enabled Heuristic Technique for
Pneumonia Detection on Graphical Processing Unit Platform
Chapter 8 Improved Adaptive Learning Framework for an Effective Removal of
Noise in ECG Signal for Telemedicine System
PART 2 Role of Artificial Intelligence and IoT in Health Care
Chapter 9 Human Disease Prediction System - Application of AI Techniques in
Chronic Diseases
Chapter 10 Internet of Things in Mental Healthcare Worldwide - A Study
Chapter 11 Internet of Things: A Promise to Smart Healthcare
Chapter 12 A Brief Review on Wireless Capsule Endoscopy Image Compression
Chapter 13 A Comprehensive Review on Leukemia Diseases Based on Microscopic
Blood Cell Images
Chapter 14 Effects of Numerical Mapping Techniques on Performance in
Genomic Signal Processing
Chapter 15 Importance of 5G/6G in Telemedicine System during the Pandemic
Situation
Chapter 16 Applications of Artificial Intelligence Techniques in Healthcare
Industry
PART 1 Biosignal and Medical Image Processing for Disease Diagnosis
Chapter 1 Lightweight One-Dimensional CNN for Cardiac Arrhythmia
Classification
Chapter 2 An Automatic System for Pertussis Diagnosis with Temperature
Monitoring Using CNN
Chapter 3 DocPresRec: Doctor's Handwritten Prescription Recognition Using
Deep Learning Algorithm
Chapter 4 An Efficient Deep Learning Approach for Brain Stroke Detection:
Application of Telemedicine
Chapter 5 An Automated Detection of Notable ABCD Diagnostics of Melanoma in
Dermoscopic Images
Chapter 6 Comparative Study of CNN and LSTM-Based Hand Gesture
Classification Using EMG Signals
Chapter 7 Improved Transfer Learning-Enabled Heuristic Technique for
Pneumonia Detection on Graphical Processing Unit Platform
Chapter 8 Improved Adaptive Learning Framework for an Effective Removal of
Noise in ECG Signal for Telemedicine System
PART 2 Role of Artificial Intelligence and IoT in Health Care
Chapter 9 Human Disease Prediction System - Application of AI Techniques in
Chronic Diseases
Chapter 10 Internet of Things in Mental Healthcare Worldwide - A Study
Chapter 11 Internet of Things: A Promise to Smart Healthcare
Chapter 12 A Brief Review on Wireless Capsule Endoscopy Image Compression
Chapter 13 A Comprehensive Review on Leukemia Diseases Based on Microscopic
Blood Cell Images
Chapter 14 Effects of Numerical Mapping Techniques on Performance in
Genomic Signal Processing
Chapter 15 Importance of 5G/6G in Telemedicine System during the Pandemic
Situation
Chapter 16 Applications of Artificial Intelligence Techniques in Healthcare
Industry
Chapter 1 Lightweight One-Dimensional CNN for Cardiac Arrhythmia
Classification
Chapter 2 An Automatic System for Pertussis Diagnosis with Temperature
Monitoring Using CNN
Chapter 3 DocPresRec: Doctor's Handwritten Prescription Recognition Using
Deep Learning Algorithm
Chapter 4 An Efficient Deep Learning Approach for Brain Stroke Detection:
Application of Telemedicine
Chapter 5 An Automated Detection of Notable ABCD Diagnostics of Melanoma in
Dermoscopic Images
Chapter 6 Comparative Study of CNN and LSTM-Based Hand Gesture
Classification Using EMG Signals
Chapter 7 Improved Transfer Learning-Enabled Heuristic Technique for
Pneumonia Detection on Graphical Processing Unit Platform
Chapter 8 Improved Adaptive Learning Framework for an Effective Removal of
Noise in ECG Signal for Telemedicine System
PART 2 Role of Artificial Intelligence and IoT in Health Care
Chapter 9 Human Disease Prediction System - Application of AI Techniques in
Chronic Diseases
Chapter 10 Internet of Things in Mental Healthcare Worldwide - A Study
Chapter 11 Internet of Things: A Promise to Smart Healthcare
Chapter 12 A Brief Review on Wireless Capsule Endoscopy Image Compression
Chapter 13 A Comprehensive Review on Leukemia Diseases Based on Microscopic
Blood Cell Images
Chapter 14 Effects of Numerical Mapping Techniques on Performance in
Genomic Signal Processing
Chapter 15 Importance of 5G/6G in Telemedicine System during the Pandemic
Situation
Chapter 16 Applications of Artificial Intelligence Techniques in Healthcare
Industry