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Andreas Henelius
Researcher at Finnish Institute of Occupational Health
Publications - 40
Citations - 715
Andreas Henelius is an academic researcher from Finnish Institute of Occupational Health. The author has contributed to research in topics: P3a & Regression analysis. The author has an hindex of 13, co-authored 37 publications receiving 561 citations. Previous affiliations of Andreas Henelius include Aalto University & University of Helsinki.
Papers
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Journal ArticleDOI
A peek into the black box: exploring classifiers by randomization
TL;DR: An efficient iterative algorithm to find the attributes and dependencies used by any classifier when making predictions is proposed and the empirical investigation shows that the novel algorithm is indeed able to find groupings of interacting attributes exploited by the different classifiers.
Book
The Psychophysiology Primer: A Guide to Methods and a Broad Review with a Focus on Human-Computer Interaction
Benjamin Ultan Cowley,Marco Filetti,Kristian Lukander,Jari Torniainen,Andreas Henelius,Lauri Ahonen,Oswald Barral,Ilkka Kosunen,Teppo Valtonen,Minna Huotilainen,Niklas Ravaja,Giulio Jacucci +11 more
TL;DR: A foundational review of the field of psychophysiology is provided to serve as a primer for the novice, enabling rapid familiarisation with the core concepts, or as a quick-reference resource for advanced readers.
Proceedings ArticleDOI
Mental workload classification using heart rate metrics
TL;DR: In this paper, the ability of different short-term heart rate variability metrics to classify the level of mental workload (MWL) in 140 s segments was studied, and the time domain metric of average interbeat interval length was the best-performing metric in terms of classification ability.
Journal ArticleDOI
Algorithm for automatic analysis of electro-oculographic data.
Kati Pettersson,Sharman Jagadeesan,Kristian Lukander,Andreas Henelius,Edward Hæggström,Kiti Müller +5 more
TL;DR: An automatic, auto-calibrating algorithm is presented that allows reliable analysis of EOG data recorded both during EEG and as a separate metrics, enabling efficient analysis of such data sets.
Journal ArticleDOI
Alterations in attention capture to auditory emotional stimuli in job burnout: An event-related potential study
Laura Sokka,Minna Huotilainen,Marianne Leinikka,Jussi Korpela,Andreas Henelius,Claude Alain,Kiti Müller,Satu Pakarinen +7 more
TL;DR: Results indicate that in job burnout, automatic speech sound discrimination is intact, but there is an attention capture tendency that is faster for negative, and slower to positive information compared to that of controls.