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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance

$1,200.00
A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance

A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance

$1,200.00

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Additional information

Journal

IEEE Access

Authors

AAKANKSHA DAYAL
ZIAULLAH KHAN
KIRAMAT ULLAH
HEE-CHEOL KIM

Keywords

Physiological signals, electrocardiogram (ECG) signal, photoplethysmography (PPG)
signal, machine learning, empirical mode decomposition, mentalworkload, stress detection, Shapley additive
explanations, intrinsic mode function

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