Corrections to "Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors".

[This corrects the article DOI: 10.1109/OJEMB.2023.

Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music.

Poor arousal management may lead to reduced cognitive performance. Specifying a model and decoder to infer the cognitive arousal and performance contributes to arousal regulation via non-invasive actuators such as music. We employ a Bayesian filtering approach within an expectation-maximization framework to track the hidden states during the [Formula: see text]-back task in the presence of calming and exciting music.

Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors.

Inferring autonomous nervous system (ANS) activity is a challenging issue and has critical applications in stress regulation. Sweat secretions caused by ANS activity influence the electrical conductance of the skin. Therefore, the variations in skin conductance (SC) measurements reflect the sudomotor nerve activity (SMNA) and can be used to infer the underlying ANS activity.

Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures.

We propose novel supervised control architectures to regulate the cognitive stress state and close the loop. We take information present in underlying neural impulses of skin conductance signals and employ model-based control techniques to close the loop in a state-space framework. For performance enhancement, we establish a supervised knowledge-based layer to update control system in real time.