Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/107627
Title: | Internet of things for healthcare technologies |
Other Titles: | Studies in big data |
Authors: | Chakraborty, Chinmay Banerjee, Amit Kolekar, Maheshkumar H. Garg, Lalit Chakraborty, Basabi |
Keywords: | Medical technology -- Technological innovations Internet in medicine Wireless communication systems in medical care Diagnostic imaging -- Technological innovations Biosensors -- Technological innovations Signal processing -- Technological innovations |
Issue Date: | 2021 |
Publisher: | Springer Nature Singapore Pte Ltd. |
Citation: | Chakraborty, C., Banerjee, A., Kolekar, M. H., Garg, L., & Chakraborty, B. (Eds.). (2021). Internet of things for healthcare technologies (Vol. 73, Studies in Big Data). Springer Nature Singapore Pte Ltd. |
Abstract: | This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/107627 |
ISBN: | 9789811541124 |
Appears in Collections: | Scholarly Works - FacICTCIS |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Internet of things for healthcare technologies 2021.pdf Restricted Access | 9.91 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.