Training Data Collection & AI Development
NCT05378854 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 27
Last updated 2023-05-18
Summary
The aim of this study is to facilitate collection of real-world data to test and train the analytics engine for each prototype algorithm. Preliminary datasets will be generated to enable a dry run of the prototype algorithms to check their predictive functionality as part of simulated 'experimental' scenarios at each LifeChamps partner site. This preparatory work will be critical to the development of the LifeChamps platform, prior to progressing to a larger scale feasibility trial.
Conditions
Interventions
- OTHER
-
LifeChamps Platform
Participants will be provided with the study equipment, i.e., a mobile app, smartwatch, smart scale, location home sensor, a smart plug, and a micro-computer, with which they will need to interact with the devices for three months. Specifically, participants should wear the activity tracker wristband (Fitbit Charge 4) as much as possible. Additionally, participants should use the smart scale to weigh themselves and the mobile app to fill in selected PROMs monthly, while the ambient home sensors (location home senor (LOCS) and smart plug) will be passively collecting information about their everyday living during these three months. Lastly, participants' clinical and demographic data from the local EHRs will be collected.
Sponsors & Collaborators
-
Region Stockholm
collaborator OTHER_GOV -
Aristotle University Of Thessaloniki
lead OTHER
Principal Investigators
-
Panos D Bamidis, PhD · Aristotle University Of Thessaloniki
Study Design
- Allocation
- NA
- Purpose
- OTHER
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-07-31
- Primary Completion
- 2023-04-10
- Completion
- 2023-04-10
Countries
- Greece
Study Locations
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