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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.
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.
Age
18 - 35 years
Sex
ALL
Healthy Volunteers
Yes
Cultural Science Innovations, Nanyang Technological University
Singapore, Singapore
Start Date
August 25, 2021
Primary Completion Date
May 15, 2023
Completion Date
June 15, 2023
Last Updated
March 23, 2023
162
ESTIMATED participants
Baseline
OTHER
Fatigue Manipulation
OTHER
Lead Sponsor
Nanyang Technological University
Collaborators
Data Source & Attribution
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