1st Edition
Disruptive Developments in Biomedical Applications
This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing. The book is divided into four main sections, namely, medical image processing using AI; IoT and biomedical devices; biomedical signal processing; and electronic health records, including advances in biomedical systems. It includes different case studies of biomedical applications using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and osteoarthritis.
Features:
- Covers different technologies like AI, IoT, and signal processing in the context of biomedical applications.
- Reviews medical image analysis, disease detection, and prediction.
- Comprehends the advantage of recent technologies for medical record keeping through electronic health records (EHRs).
- Presents state-of-the-art research in the field of biomedical engineering using various physiological signals.
- Explores different bio sensors used in healthcare applications using IOT.
This book is aimed at graduate students and researchers in AI, medical imaging, biomedical engineering, and IoT.
Chapter 1: Recent advances of Artificial Intelligence (AI) for Nanobiomedical applications: Trends, Challenges and future prospects
Dr. J. G. Gujar, Dr. Sonali Kadam and Dr. U. D. Patil
Chapter 2: Medical Imaging modalities and different image processing techniques- State of the Art Review
Lalitha S, Sanjana T and Bhavana H T
Chapter 3: Prognosis and diagnosis of disease using AI/ML techniques
Sandhya KV and Jithu Jerin James
Chapter 4: AI Based Approach For Brain Tumor Detection And Classification
Shweta Pandav and Dr. Lenina SVB
Chapter 5: Prediction & Classification of Alzheimer’s Disease using Machine Learning Models
Dr. Deepa N. Reddy, Santrupti M Bagali, Sanjana Dathathri, Priyanka R and Sara M N
Chapter 6: Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)
Renu Kachhoria and Neha Baranwal
Chapter 7: Case study on Oropharyngeal Cancer Prediction and Diagnosis and Management based upon MRI, CT scan imaging techniques.
Pallavi Bhosle, Hujeb Pathan , Ganesh Tapadiya and Md. Irshad Alam
Chapter 8: Introduction to Smart Healthcare using IoMT
Dr. Varsha Bendre and Dr. Deepti Khurge
Chapter 9: A Webcam-based Belt-System for Respiratory and Chest-expansion Measurements
RAMESH R GALIGEKERE, Niveditha, Rohan Gupta, Anup Bhat, Kalyana Chakravarthy Bairapareddy and Rahul Magazine
Chapter 10: A Novel Data Analysis Framework in Smart City Healthcare
Swapnaja Hiray and Ravi Bhramaramba
Chapter 11: Evolution of Automatic Epilepsy Detection and Classification Techniques: A Survey
Neeta Hemant Chapatwala and Dr. Chirag N. Paunwala
Chapter 12: Evaluation of Boosting Algorithms for P300 Detection in EEG Signals
Subhash Tatale, Dr.Priyanka Jain, Dr.Nivedita Bhirud, Rutuja Pote, Vinaya Kumar, Purvi Sampat and N.K.Jain
Chapter 13: Comprehensive Study of Brain Computer Interface(BCI) with emphasis on Signal Processing Strategies
Dr. Vrushali Ganesh Raut, Dr.Pranoti P. Mane and Dr. S. O.Rajankar
Chapter 14: Fetal Electrocardiogram Extraction using Adaptive Filters Approach
Dr. Manjiri A. Ranjanikar, Dr. Sagar V. Joshi, Dr. Jaishri M. Waghmare, Dr. Swati Shinde and Dr. Rachana Y. Patil
Chapter 15: Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG Signals : A Systematic Review
Ketan Sanjay Desale and Dr. Swati Shinde
Chapter 16: Heart Rate Variability Analysis in Healthy Male Subjects with Comprehensive Age Groups
Anjali C. Birajdar and Dr. Vijaya R. Thool
Chapter 17: Electronic Health Records: Need, Challenges and Future scope
Dr. Priya Makarand Shelke and Dr. Jayashri Vitthalrao Bagade
Chapter 18: Role of EHR in cancer detection: need, challenges and future scope of EHR
Pratiksha R Deshmukh and Rashmi Phalnikar
Chapter 19: Implantable Pacemaker Low Power Telemetry Unit
Santosh D. Chede
Chapter 20: Recent Advances in Drug Delivery Systems: MEMS Perspective
Bhavana H T, Dr. M. Anantha Sunil, Sanjana T and B Harshitha
Chapter 21: Estimating the Blood-vessel Response to Vaso-active Agents by Microscope Video Image Processing
RAMESH R GALIGEKERE, Dr. Rohit Nayak and Dr. Mikkel Brydegaard
Chapter 22: Organ Donation and Transplantation Challenges, Opportunities and Role of Blockchain
Dr. Rachana Yogesh Patil, Yogesh H. Patil, Dr. Sujeet Kumar Gupta and Dr. Aparna Bannore
Biography
Swati V. Shinde, Oscar Castillo
