The internet of medical things : enabling technologies and emerging applications

• Other Authors: Pani, Subhendu Kumar, 1980- (Editor), Patra, Priyadarsan, (Editor), Ferrari, Gianluigi, 1974- (Editor), Kraleva, Radoslava, (Editor), Wang, Henry Haojin, (Editor)
• Format: eBook
• Language: English
• Published: Stevenage : Institution of Engineering & Technology, 2022.
• Series: Healthcare technologies series.
• Subjects: Medical technology.; Internet of things.; Telecommunication in medicine.; elektronické knihy; electronic books
• ISBN: 9781839532740; 1839532742; 9781839532733; 1839532734
• Physical Description: 1 online resource (403 pages)
• Item Description: Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

The Internet of Medical Things (IoMT) allows clinicians to monitor patients remotely via a network of wearable or implantable devices. The devices are embedded with software or sensors to enable them to send and receive data via the internet so that healthcare professionals can monitor health data such as vital statistics, metabolic rates or drug delivery regimens, and can provide advice or treatment plans based on this real-world, real-time data. This edited book discusses key loT technologies that facilitate and enhance this process, such as computer algorithms, network architecture, wireless communications, and network security. Providing a systemic review of trends, challenges and future directions of IoMT technologies, the book examines applications such as breast cancer monitoring systems, patient-centric systems for handling, tracking and monitoring virus variants, and video-based solutions for monitoring babies. The book discusses machine learning techniques for the management of clinical data and includes security issues such as the use of blockchain technology. Written by a range of international researchers, this book is a great resource for computer engineering researchers and practitioners in the fields of data mining, machine learning, artificial intelligence and the loT in the healthcare sector.