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Mobile Health Technologies for Ambient Assisted Living and Healthcare
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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.
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Keywords
- AAL
- accelerometer sensor
- acceptance
- action recognition
- activity recognition
- Aging
- channel state information
- chronic heart failure
- Classification
- Computer science
- Computing & information technology
- COVID-19
- data analysis
- data privacy
- deep learning
- deployment
- direct acyclic graph
- Diseases
- Economics, finance, business & management
- Eight Hop Test
- elderly monitoring
- food logging
- food plans
- Frailty
- gerontechnology
- glaucoma screening
- H2020
- Healthcare
- home monitoring
- Industry & industrial studies
- Information technology industries
- Internet of Things
- IoT
- large-scale pilot
- linear-map convolutional neural network
- Machine learning
- Measurement
- Media, information & communication industries
- mobile application
- physiological parameters
- PPG processing
- Precision Nutrition
- prevalidation
- retinal images
- segmentation
- sensors
- smart house
- spatial feature
- stand-up time
- successful aging
- systematic review
- taxonomy
- temporal feature
- total time
- usability
- User Experience
- User-Centered Design
- web-based applications
- wrist-wearable device
Links
DOI: 10.3390/books978-3-0365-7027-3Editions