Disruptive Developments in Biomedical Applications (eBook, ePUB)

Redaktion: Shinde, Swati V.; Castillo, Oscar; Bendre, Varsha; Mahalle, Parikshit N.

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 360
• Erscheinungstermin: 22. Dezember 2022
• Englisch
• ISBN-13: 9781000786569
• Artikelnr.: 66299282

Autorenporträt

Swati V. Shinde, Oscar Castillo

Inhaltsangabe

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