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Disruptive Developments in Biomedical Applications

Title: Disruptive Developments in Biomedical Applications
Author: Oscar Castillo, Parikshit N Mahalle, Swati V. Shinde, Varsha Bendre
ISBN: 1032224711 / 9781032224718
Format: Soft Cover
Pages: 360
Publisher: CRC Press
Year: 2024
Availability: 15-30 days

Tab Article

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.

Tab Article

Chapter 1 : Recent advances of Artificial Intelligence (AI) for Nanobiomedical applications: Trends, Challenges and future prospects
Chapter 2 : Medical Imaging modalities and different image processing techniques- State of the Art Review
Chapter 3 : Prognosis and diagnosis of disease using AI/ML techniques
Chapter 4 : AI Based Approach For Brain Tumor Detection And Classification
Chapter 5 : Prediction & Classification of Alzheimer’s Disease using Machine Learning Models
Chapter 6 : Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)
Chapter 7 : Case study on Oropharyngeal Cancer Prediction and Diagnosis and Management based upon MRI, CT scan imaging techniques
Chapter 8 : Introduction to Smart Healthcare using IoMT
Chapter 9 : A Webcam-based Belt-System for Respiratory and Chest-expansion Measurements
Chapter 10 : A Novel Data Analysis Framework in Smart City Healthcare
Chapter 11 : Evolution of Automatic Epilepsy Detection and Classification Techniques: A Survey
Chapter 12 : Evaluation of Boosting Algorithms for P300 Detection in EEG Signals
Chapter 13 : Comprehensive Study of Brain Computer Interface(BCI) with emphasis on Signal Processing Strategies
Chapter 14 : Fetal Electrocardiogram Extraction using Adaptive Filters Approach
Chapter 15 : Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG Signals : A Systematic Review
Chapter 16 : Heart Rate Variability Analysis in Healthy Male Subjects with Comprehensive Age Groups
Chapter 17 : Electronic Health Records: Need, Challenges and Future scope
Chapter 18 : Role of EHR in cancer detection: need, challenges and future scope of EHR
Chapter 19 : Implantable Pacemaker Low Power Telemetry Unit
Chapter 20 : Recent Advances in Drug Delivery Systems: MEMS Perspective
Chapter 21 : Estimating the Blood-vessel Response to Vaso-active Agents by Microscope Video Image Processing
Chapter 22 : Organ Donation and Transplantation Challenges, Opportunities and Role of Blockchain

 

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