Effects of Cognitive Fatigue on Heart Rate Variability and Skin Conductance
NCT ID: NCT05011318
Last Updated: 2023-03-23
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
NA
162 participants
INTERVENTIONAL
2021-08-25
2023-06-15
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Fatigue Manipulation
Baseline
5-min urban park video clip (Presented on a TV)
Fatigue Manipulation
20-min 2-back task (Presented on a computer)
Interventions
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Baseline
5-min urban park video clip (Presented on a TV)
Fatigue Manipulation
20-min 2-back task (Presented on a computer)
Eligibility Criteria
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Inclusion Criteria
* Non-clinical
* 18-35years
Exclusion Criteria
* Individuals with a history of ear, developmental, neurological, or psychiatric disorder
18 Years
35 Years
ALL
Yes
Sponsors
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National Research Foundation, Singapore
OTHER_GOV
Ministry of National Development, Singapore
OTHER_GOV
Housing and Development Board, Singapore
OTHER_GOV
Nanyang Technological University
OTHER
Responsible Party
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Georgios CHRISTOPOULOS
Associate Professor
Locations
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Cultural Science Innovations, Nanyang Technological University
Singapore, , Singapore
Countries
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Central Contacts
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Facility Contacts
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References
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Lee KFA, Gan WS, Christopoulos G. Biomarker-Informed Machine Learning Model of Cognitive Fatigue from a Heart Rate Response Perspective. Sensors (Basel). 2021 Jun 2;21(11):3843. doi: 10.3390/s21113843.
Other Identifiers
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COT-V4-2020-1-S002
Identifier Type: -
Identifier Source: org_study_id
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