Advances in Artificial Intelligence
Biomedical Engineering Applications in Signals and Imaging
Published on 23. May 2024
Book
Paperback/Softback
630 pages
978-0-443-19073-5 (ISBN)
Description
Artificial intelligence in healthcare has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals, such as electrocardiogram (ECG/EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, and nerve conduction, and for bio-imaging modalities, such as computed tomography (CT), cone-beam computed tomography (CBCT), and MRI (magnetic resonance imaging). Advancements in artificial intelligence and big data have increased the development of innovative medical devices in healthcare applications. Advances in Artificial Intelligence: Biomedical Engineering Applications in Signals and Imaging provides an overview of arti-ficial intelligence in biomedical applications, including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in the biomedical - eld, including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, and develop AI-based medical devices.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1280 gr
ISBN-13
978-0-443-19073-5 (9780443190735)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kunal Pal | Bala Chakravarthy Neelapu | J. Sivaraman
Advances in Artificial Intelligence
Biomedical Engineering Applications in Signals and Imaging
E-Book
05/2024
Academic Press
€175.00
Available for download
Persons
Dr. Kunal Pal is a Professor in the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India. His major research interests revolve around biomedical signal processing, biomedical equipment design, soft materials, and controlled drug delivery. He has published more than 100 publications in SCI-cited journals of high repute. Dr. Bala Chakravarthy Neelapu has completed B.Tech in Electronics and Communication Engineering Dr. Bala Chakravarthy Neelapu is working as an assistant professor in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His area of interest is medical image processing and computer vision. He has authored more than 20 articles in SCI-indexed journals. JNTU Hyderabad in 2008, M.Tech. in Electronics and Communication Engineering from JNTU Kakinada, in 2011, and PhD in Engineering from AcSIR (Academy of Scientific and Innovative Research) at CSIR-Central Scientific Instruments Organization, Chandigarh in 2018. Currently, he is working as Assistant Professor in the Department of Biotechnology and Medical Engineering of National Institute of Technology Rourkela, India. Prior to join NIT Rourkela, he had worked as Assistant Professor at K L University, Andhra Pradesh. His area of interest is Medical Image Processing and Computer Vision. He has authored more than 10 articles in SCI indexed journals and conferences. Dr. Bala Chakravarthy has filed 2 patents in India and US and 1 of them was granted by US Patent Office. He has served as a Guest Editor of 2 reputed SCI journals and also served as a reviewer of several SCI and SCOPUS indexed journals. Dr. J. Sivaraman is working as an assistant professor and principal investigator of Bio-signals and Medical Instrumentation Laboratory in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His research interests include electrocardiography, ECG signal analysis and processing, atrial arrhythmias such as atrial ? brillation, and signal processing for bioelectric measurements. He has authored more than 40 articles in SCI-indexed journals, conferences, and book chapters
Editor
Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, Odisha, India.
Assistant Professor, Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India
Assistant Professor and Principal Investigator of Bio-signals and Medical Instrumentation Laboratory, Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India
Content
1. Introduction to Biomedical signals and Biomedical Imaging
2. Medical Applications of Artificial Intelligence
3. Decipher the Mask-Induced Cardiac Changes in the ECG Signals using DWT and Machine Learning Classifiers
4. A robust to noise classification method for the heart sound signals using deep learning technique
5. Brain tumour segmentation using Advanced deep learning Techniques
6. AI in medical robotics
7. AI in medical education
8. Machine Learning and Deep Learning Techniques for Smart Diagnosis of Obstructive Sleep Apnea using Single lead ECG
9. Artificial Intelligence techniques for Diagnosis of Atrial Fibrillation
10. Artificial intelligence in monitoring and correction of functional state based on electro-cardio signal
11. Deep Learning for drug repurposing.
12. Explainable AI for medical applications
13. Artificial intelligence-based smart devices for biomedical applications
14. Automation in the field of orthodontics and orthopaedics based on artificial Intelligence
15. Data driven models in health care diagnosis
16. Artificial Intelligence for diabetes management
17. 2D and 3D segmentation of organs using artificial intelligence
18. Early-stage identification of Autism in children using gesture monitoring based on Artificial Intelligence.
19. Artificial Intelligence in diagnosis of Neural disorders using bio signals and Imaging
20. Biomedical Image Security
21. AI for Cancer Diagnosis
2. Medical Applications of Artificial Intelligence
3. Decipher the Mask-Induced Cardiac Changes in the ECG Signals using DWT and Machine Learning Classifiers
4. A robust to noise classification method for the heart sound signals using deep learning technique
5. Brain tumour segmentation using Advanced deep learning Techniques
6. AI in medical robotics
7. AI in medical education
8. Machine Learning and Deep Learning Techniques for Smart Diagnosis of Obstructive Sleep Apnea using Single lead ECG
9. Artificial Intelligence techniques for Diagnosis of Atrial Fibrillation
10. Artificial intelligence in monitoring and correction of functional state based on electro-cardio signal
11. Deep Learning for drug repurposing.
12. Explainable AI for medical applications
13. Artificial intelligence-based smart devices for biomedical applications
14. Automation in the field of orthodontics and orthopaedics based on artificial Intelligence
15. Data driven models in health care diagnosis
16. Artificial Intelligence for diabetes management
17. 2D and 3D segmentation of organs using artificial intelligence
18. Early-stage identification of Autism in children using gesture monitoring based on Artificial Intelligence.
19. Artificial Intelligence in diagnosis of Neural disorders using bio signals and Imaging
20. Biomedical Image Security
21. AI for Cancer Diagnosis