Computer-aided Design and Diagnosis Methods for Biomedical Applications

Herausgeber: Bajaj, Varun; Sinha, G R

• Gebundenes Buch

Produktbeschreibung

Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD. ¿ Features: Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems' ability to diagnose and identify health disorders. Presents concepts of CAD for biomedical modalities in different disorders. Discusses design and simulation examples, issues, and challenges. Illustrates bio-potential signals and their appropriate use in studying different disorders. Includes case studies, practical examples, and research directions. ¿ Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 394
• Erscheinungstermin: 28. April 2021
• Englisch
• Abmessung: 240mm x 161mm x 26mm
• Gewicht: 756g
• ISBN-13: 9780367638832
• ISBN-10: 0367638835
• Artikelnr.: 61649563

Autorenporträt

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