The Mobile Sleep Lab App: An Open-Source Framework for Mobile Sleep Assessment Based on Consumer-Grade Wearable Devices
Initiatives
-
Here, the development and evaluation of a mobile application to record and synchronize data from consumer-grade sensors suitable for sleep monitoring is presented and evaluated for data collection capability in a clinical trial.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2018
- Funding
- The project was supported by the START program of the Faculty of Medicine of the RWTH Aachen.
Design
- Study design
- Clinical trial cohort
Marker Paper
Burgdorf A, Güthe I, Jovanović M, et al. The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices. Comput Biol Med. 2018;103:8‐16. doi:10.1016/j.compbiomed.2018.09.025
PUBMED 30316065
Number of participants
- Number of participants
- 8
- Number of participants with biosamples
Access
Availability of data and biosamples
Data | |
Biosamples | |
Other |
Timeline
burgdorf-et-al._-comput-biol-med.-2018_
Here, the development and evaluation of a mobile application to record and synchronize data from consumer-grade sensors suitable for sleep monitoring is presented and evaluated for data collection capability in a clinical trial.
Selection Criteria
- Gender
-
men
- Newborns
- Twins
- Countries
-
- Germany
- Ethnic Origin
-
- Health Status
-
Recruitment
Number of participants
- Number of participants
- 8
- Number of participants with biosamples
Data Collection Event
Here, the development and evaluation of a mobile application to record and synchronize data from consumer-grade sensors suitable for sleep monitoring is presented and evaluated for data collection capability in a clinical trial.
- Start Date
-
2018
- End Date
-
2018
- Data sources
-
-
Mobile data collection
- Mobile phone
- Smartphone
- Smartphone apps
- Smartwatch and wearables
-
Mobile data collection