Present book discusses uses of CAD to solve real world problems and challenges in Biomedical systems with the help of appropriate case studies and research simulation results. It explains behaviours, concepts, fundamentals, principles, case studies and future research directions including automatic identification of related disorders using CAD.
Present book discusses uses of CAD to solve real world problems and challenges in Biomedical systems with the help of appropriate case studies and research simulation results. It explains behaviours, concepts, fundamentals, principles, case studies and future research directions including automatic identification of related disorders using CAD.
Varun Bajaj has been working as a faculty in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since 2014. He worked as a visiting faculty in IIITDM from September 2013 to March 2014. He served as an Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India during 2009-2010. He received B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006, M.Tech. Degree with Honours in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He is also serving as a Subject Editor-in-Chief of IET Electronics Letters. He served as a Subject Editor of IET Electronics Letters Nov -2018 to June 2020. He is IEEE Member and contributing as active technical reviewer of leading International journals of IEEE, IET, and Elsevier, etc. He has edited Modelling and Analysis of Active Biopotential Signals in Healthcare- Volume 1 published in IOP books. He has authored more than 90 research papers in various reputed international journals/conferences like IEEE Transactions, Elsevier, Springer, IOP etc. The citation impact of his publications is around 1715 citations, h-index of 19, and i10 index of 36 (Google Scholar May 2020). He has guided three (03) PhD Scholars, 5 M. Tech. Scholars. He is a recipient of various reputed national and international awards. His research interests include biomedical signal processing, image processing, time-frequency analysis, and computer-aided medical diagnosis.
Inhaltsangabe
Chapter 1 Electroencephalogram Signals Based Emotion Classification in Parkinson's Disease Using Recurrence Quantification Analysis and Non-Linear Classifiers Chapter 2 Sleep Stage Classification Using DWT and Dispersion Entropy Applied on EEG Signals Chapter 3 Detection of Epileptic Electroencephalogram Signals Employing Visibility Graph Motifs Chapter 4 Effect of Various Standing Poses of Yoga on the Musculoskeletal System Using EMG Chapter 5 Early Detection of Parkinson Disease and SWEDD Using SMOTE and Ensemble Chapter 6 Computer-Aided Design and Diagnosis Method for Cancer Detection Chapter 7 Automated COVID-19 Detection from CT Images Using Deep Learning Chapter 8 Suspicious Region Diagnosis in the Brain: A Guide to Using Brain MRI Sequences Chapter 9 Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network Chapter 10 Positioning the Healthcare Client in Diagnostics and the Validation of Care Intensity Chapter 11 Computer-Aided Diagnosis (CAD) System for Determining Histological Grading of Astrocytoma Based on Ki67 Counting Chapter 12 Improved Classification Techniques for the Diagnosis and Prognosis of Cancer Chapter 13 Discovery of Thyroid Disease Using Different Ensemble Methods with Reduced Error Pruning Technique Chapter 14 Reliable Diagnosis and Prognosis of COVID-19 Chapter 15 Computer-Aided Diagnosis Methods for Non-Invasive Imaging of Sub-Skin Lesions Index
Chapter 1 Electroencephalogram Signals Based Emotion Classification in Parkinson's Disease Using Recurrence Quantification Analysis and Non-Linear Classifiers Chapter 2 Sleep Stage Classification Using DWT and Dispersion Entropy Applied on EEG Signals Chapter 3 Detection of Epileptic Electroencephalogram Signals Employing Visibility Graph Motifs Chapter 4 Effect of Various Standing Poses of Yoga on the Musculoskeletal System Using EMG Chapter 5 Early Detection of Parkinson Disease and SWEDD Using SMOTE and Ensemble Chapter 6 Computer-Aided Design and Diagnosis Method for Cancer Detection Chapter 7 Automated COVID-19 Detection from CT Images Using Deep Learning Chapter 8 Suspicious Region Diagnosis in the Brain: A Guide to Using Brain MRI Sequences Chapter 9 Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network Chapter 10 Positioning the Healthcare Client in Diagnostics and the Validation of Care Intensity Chapter 11 Computer-Aided Diagnosis (CAD) System for Determining Histological Grading of Astrocytoma Based on Ki67 Counting Chapter 12 Improved Classification Techniques for the Diagnosis and Prognosis of Cancer Chapter 13 Discovery of Thyroid Disease Using Different Ensemble Methods with Reduced Error Pruning Technique Chapter 14 Reliable Diagnosis and Prognosis of COVID-19 Chapter 15 Computer-Aided Diagnosis Methods for Non-Invasive Imaging of Sub-Skin Lesions Index
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