Latent state estimations for experimental data with interruptions for subject 15.

Latent state estimations for experimental data with interruptions for subject 15.

<p>The panel shows the experimental data with interruptions. From top, the binary variables <i>n</i><sub>1</sub> and <i>n</i><sub>2</sub> derived from deconvolved EDA data and typing data respectively, the continuous variable <i>r</i>...

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Bibliographic Details
Main Author:	Samiul Alam (18563323) (author)
Other Authors:	Saman Khazaei (18563326) (author), Rose T. Faghih (8755104) (author)
Published:	2024
Subjects:	Genetics Pharmacology Biological Sciences not elsewhere classified offering profound implications measurable physiological markers heart rate variability model parameters using integrative analysis facilitates experimental data substantiate dissect psychomotor performance state filtering format another latent state maximization algorithms approach galvanic skin responses skin conductance simulated data sc responses productivity analysis optimizing performance assessments using unveiling productivity simultaneous monitoring significant advancement sc ), research marks relation concurrently office management innovative methodology hrv ). frequently elicited extensive repercussions expressive behavior environmental stressors concurrently evaluated concrete study cognitive tasks cognitive arousal biomarkers correlate
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