Mobile Health Technologies for Ambient Assisted Living and Healthcare
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 health...
Saved in:
| Format: | Online |
|---|---|
| Sprog: | engelsk |
| Udgivet: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
| Fag: | |
| Online adgang: | ONIX_20230405_9783036570266_247 |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|
| _version_ | 1869523003437481984 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-98968 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-989682024-03-30T12:51:25Z Mobile Health Technologies for Ambient Assisted Living and Healthcare Pires, Ivan Miguel 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science 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. 2023-04-05T13:01:29Z 2023-04-05T13:01:29Z 2023 book ONIX_20230405_9783036570266_247 9783036570266 9783036570273 https://directory.doabooks.org/handle/20.500.12854/98968 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7027 https://mdpi.com/books/pdfview/book/7027 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7027-3 10.3390/books978-3-0365-7027-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036570266 9783036570273 240 Basel open access |
| spellingShingle | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Mobile Health Technologies for Ambient Assisted Living and Healthcare |
| title | Mobile Health Technologies for Ambient Assisted Living and Healthcare |
| title_full | Mobile Health Technologies for Ambient Assisted Living and Healthcare |
| title_fullStr | Mobile Health Technologies for Ambient Assisted Living and Healthcare |
| title_full_unstemmed | Mobile Health Technologies for Ambient Assisted Living and Healthcare |
| title_short | Mobile Health Technologies for Ambient Assisted Living and Healthcare |
| title_sort | mobile health technologies for ambient assisted living and healthcare |
| topic | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20230405_9783036570266_247 |