Disruptive Developments in Biomedical Applications

Häftad, Engelska, 2024

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-10-09
Mått:178 x 254 x 20 mm
Vikt:680 g
Format:Häftad
Språk:Engelska
Antal sidor:344
Förlag:Taylor & Francis Ltd
ISBN:9781032224718

Utforska kategorier

Energiteknik inom Naturvetenskap och teknik
Biologi inom Naturvetenskap och teknik
Biomedicinsk teknik inom Medicin

Mer om författaren

Swati V. Shinde, Oscar Castillo

Innehållsförteckning

1: Recent advances of Artificial Intelligence (AI) for Nanobiomedical applications: Trends, Challenges and future prospects2: Medical Imaging modalities and different image processing techniques- State of the Art Review3: Prognosis and diagnosis of disease using AI/ML techniques4: AI Based Approach For Brain Tumor Detection And Classification5: Prediction & Classification of Alzheimer’s Disease using Machine Learning Models6: 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 IoMT9: A Webcam-based Belt-System for Respiratory and Chest-expansion Measurements10: A Novel Data Analysis Framework in Smart City Healthcare11: Evolution of Automatic Epilepsy Detection and Classification Techniques: A Survey12: Evaluation of Boosting Algorithms for P300 Detection in EEG Signals13: Comprehensive Study of Brain Computer Interface(BCI) with emphasis on Signal Processing Strategies14: Fetal Electrocardiogram Extraction using Adaptive Filters Approach15: Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG Signals : A Systematic Review16: Heart Rate Variability Analysis in Healthy Male Subjects with Comprehensive Age Groups17: Electronic Health Records: Need, Challenges and Future scope18: Role of EHR in cancer detection: need, challenges and future scope of EHR19: Implantable Pacemaker Low Power Telemetry Unit20: Recent Advances in Drug Delivery Systems: MEMS Perspective21: Estimating the Blood-vessel Response to Vaso-active Agents by Microscope Video Image Processing22: Organ Donation and Transplantation Challenges, Opportunities and Role of Blockchain