2020
DOI: 10.1007/s40429-020-00318-8
|View full text |Cite
|
Sign up to set email alerts
|

Wearable and Wireless mHealth Technologies for Substance Use Disorder

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
30
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6
3
1

Relationship

0
10

Authors

Journals

citations
Cited by 31 publications
(34 citation statements)
references
References 32 publications
1
30
0
Order By: Relevance
“…Tracking gait and sweat can provide feedback on abstinence and intoxication [ 6 , 7 ]. The geographic location can provide pre-programmed text messages to warn against danger areas (proximity to establishments that sell alcohol) [ 8 ].…”
Section: Rationalementioning
confidence: 99%
“…Tracking gait and sweat can provide feedback on abstinence and intoxication [ 6 , 7 ]. The geographic location can provide pre-programmed text messages to warn against danger areas (proximity to establishments that sell alcohol) [ 8 ].…”
Section: Rationalementioning
confidence: 99%
“…A study of the acceptability of VR headsets in older adults found there were positive attitudes, especially after the first use (Huygelier et al, 2019), suggesting that age should be not considered a barrier. Similarly, studies about wearable and wireless mobile Health technologies reported that individuals were open to wearing and using such devices to monitor drug and alcohol use and related parameters for relapse prevention purposes (Goldfine et al, 2020). Moreover, a few participants were concerned that people with mental health issues relating to self-awareness might be confused about which reality they were in, or that people with severe mental health issues might become distressed.…”
Section: Discussionmentioning
confidence: 99%
“…Other relevant phenotypes can be measured using wearables to capture physiological data such as electrodermal activity, accelerometry, and skin temperature [76]. Additionally, pre-existing imaging data can be used to identify neural features, such as reduction in subcortical integrity, associated with OUD [77].…”
Section: Population-based Cohortsmentioning
confidence: 99%