Mobile Health Technologies for Ambient Assisted Living and Healthcare

• Andere auteurs: Pires, Ivan Miguel (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Information technology industries; Computer science; 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; H2020
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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 h...