Mobile Health Technologies for Ambient Assisted Living and Healthcare

Download Url(s)
https://mdpi.com/books/pdfview/book/7027Contributor(s)
Pires, Ivan Miguel (editor)
Language
EnglishAbstract
The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality.
Keywords
data privacy; taxonomy; IoT; COVID-19; mobile application; accelerometer sensor; stand-up time; total time; aging; linear-map convolutional neural network; direct acyclic graph; action recognition; spatial feature; temporal feature; frailty; home monitoring; user-centered design; usability; user experience; acceptance; activity recognition; Internet of Things; smart house; deep learning; channel state information; glaucoma screening; retinal images; segmentation; classification; precision nutrition; food plans; machine learning; food logging; Eight Hop Test; systematic review; measurement; sensors; diseases; wrist-wearable device; PPG processing; physiological parameters; web-based applications; data analysis; elderly monitoring; successful aging; gerontechnology; AAL; healthcare; prevalidation; deployment; chronic heart failure; large-scale pilot; H2020Webshop link
https://mdpi.com/books/pdfview ...ISBN
9783036570266, 9783036570273Publisher website
www.mdpi.com/booksPublication date and place
Basel, 2023Classification
Information technology industries
Computer science

