Machine Learning Enabled Time Series Analysis in Medicine
NCT ID: NCT05802563
Last Updated: 2023-04-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
200 participants
OBSERVATIONAL
2022-05-24
2023-09-01
Brief Summary
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Two hundred participants will be enrolled:
1. 50 with heart failure
2. 50 with atrial fibrillation
3. 100 (healthy) individuals without the former two conditions
All participants are given a Fitbit device and monitored for three months. Researchers will compare differences in heart rate variability patterns between the groups and devise a machine learning algorithm to detect these patterns automatically.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Heart Failure
Study participants with systolic heart failure (Left ventricular ejection fraction \< 35%) without documented atrial fibrillation
fitness tracker
Study subjects will wear a Fitbit fitness tracker
Atrial Fibrillation
Study participants with documented atrial fibrillation without heart failure
fitness tracker
Study subjects will wear a Fitbit fitness tracker
Reference
Individuals without cardiovascular disease
fitness tracker
Study subjects will wear a Fitbit fitness tracker
Interventions
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fitness tracker
Study subjects will wear a Fitbit fitness tracker
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Atrial fibrillation without heart failure
* Individuals without cardiovascular disease
Exclusion Criteria
* Recent pulmonary venous antrum isolation procedure (\<1 year)
* (end stage) kidney failure
* (end stage) liver failure
* Study participants with known systemic active inflammatory disease
* Study participants with impaired mental state
* Inability to use a fitness tracker or mobile phone
* Impaired cognition and inability to understand the study protocol
18 Years
85 Years
ALL
Yes
Sponsors
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Delft University of Technology
OTHER
HagaZiekenhuis
OTHER
Responsible Party
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Ivo van der Bilt
Principal Investigator
Locations
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HagaZiekenhuis
The Hague, South Holland, Netherlands
Countries
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Other Identifiers
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metime
Identifier Type: -
Identifier Source: org_study_id
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