Effects of Cognitive Fatigue on Heart Rate Variability and Skin Conductance

NCT ID: NCT05011318

Last Updated: 2023-03-23

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

162 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-08-25

Study Completion Date

2023-06-15

Brief Summary

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This study aims to examine the effects of cognitive fatigue on heart rate variability and skin conductance and develop a machine learning model.

Detailed Description

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We hypothesize that increased cognitive fatigue would vary as a function of heart rate variability and skin conductance. A machine learning model will be developed that predicts cognitive fatigue through these physiological responses (Lee et al., 2021). Individual differences (i.e., age, gender, caffeine and food intake, body mass index, skin temperature, sleep quality, baseline physiology and behavioural performance) will be examined and accounted for.

Conditions

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Cognitive Fatigue Mental Fatigue Behavioral Performance Heart Rate Variability Skin Conductance

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Fatigue Manipulation

Group Type EXPERIMENTAL

Baseline

Intervention Type OTHER

5-min urban park video clip (Presented on a TV)

Fatigue Manipulation

Intervention Type OTHER

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)

Intervention Type OTHER

Fatigue Manipulation

20-min 2-back task (Presented on a computer)

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Singapore-based
* Non-clinical
* 18-35years

Exclusion Criteria

* Individuals with hearing difficulties or failing to meet the minimal threshold for normal hearing
* Individuals with a history of ear, developmental, neurological, or psychiatric disorder
Minimum Eligible Age

18 Years

Maximum Eligible Age

35 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Research Foundation, Singapore

OTHER_GOV

Sponsor Role collaborator

Ministry of National Development, Singapore

OTHER_GOV

Sponsor Role collaborator

Housing and Development Board, Singapore

OTHER_GOV

Sponsor Role collaborator

Nanyang Technological University

OTHER

Sponsor Role lead

Responsible Party

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Georgios CHRISTOPOULOS

Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Cultural Science Innovations, Nanyang Technological University

Singapore, , Singapore

Site Status RECRUITING

Countries

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Singapore

Central Contacts

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Kar Fye Alvin Lee, PhD

Role: CONTACT

+6591557981

GEORGIOS CHRISTOPOULOS, PhD

Role: CONTACT

+6594898379

Facility Contacts

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Elliot Chan, B.A.

Role: primary

+6596799914

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.

Reference Type BACKGROUND
PMID: 34199416 (View on PubMed)

Other Identifiers

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COT-V4-2020-1-S002

Identifier Type: -

Identifier Source: org_study_id

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