Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering
Author :
Publisher : CRC Press
Total Pages : 304
Release :
ISBN-10 : 9781040149348
ISBN-13 : 1040149340
Rating : 4/5 (340 Downloads)

Book Synopsis Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering by : Arun Kumar Rana

Download or read book Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering written by Arun Kumar Rana and published by CRC Press. This book was released on 2024-10-30 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers around the world. Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering discusses the Internet of Things (IoT) and ML devices that are deployed for enabling patient health tracking, various emergency issues, and the smart administration of patients. It looks at the problems of cardiac analysis in e-healthcare, explores the employment of smart devices aimed at different patient issues, and examines the usage of Arduino kits where the data can be transferred to the cloud for Internet-based uses. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography and magnetic resonance imaging, which play significant roles in biomedical applications. This book also incorporates the use of IoT and ML applications for smart wheelchairs, telemedicine, GPS positioning of heart patients, and smart administration with drug tracking. Finally, the book also presents the application of these technologies in the development of advanced healthcare frameworks. This book will be beneficial for new researchers and practitioners working in the biomedical and healthcare fields. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practices of medical image retrieval and brain image segmentation.


Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering Related Books

Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering
Language: en
Pages: 304
Authors: Arun Kumar Rana
Categories: Computers
Type: BOOK - Published: 2024-10-30 - Publisher: CRC Press

GET EBOOK

This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the late
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
Language: en
Pages: 407
Authors: Sujata Dash
Categories: Computers
Type: BOOK - Published: 2022-02-10 - Publisher: CRC Press

GET EBOOK

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biome
Internet of Things in Biomedical Engineering
Language: en
Pages: 382
Authors: Valentina Emilia Balas
Categories: Science
Type: BOOK - Published: 2019-06-14 - Publisher: Academic Press

GET EBOOK

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and tre
Machine Learning and the Internet of Medical Things in Healthcare
Language: en
Pages: 290
Authors: Krishna Kant Singh
Categories: Science
Type: BOOK - Published: 2021-04-14 - Publisher: Academic Press

GET EBOOK

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
Language: en
Pages: 705
Authors: Jorge Garza Ulloa
Categories: Science
Type: BOOK - Published: 2021-11-30 - Publisher: Elsevier

GET EBOOK

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches