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Validation of Emotiv EPOC+ for extracting ERP correlates of emotional face processing

Kotowski K., Stapor K., Leski J., Kotas M.

Biocybernetics and Biomedical Engineering

2018

Vol. 38, no. 4

773--781

The article presents our proposed adaptation of the commercially available Emotiv EPOC+ EEG headset for neuroscience research based on event-related brain potentials (ERP). It solves Emotiv EPOC+ synchronization problems (common to most low-cost systems) by applying our proposed stimuli marking circuit. The second goal was to check the capabilities of our modification in neuroscience experiments on emotional face processing. Results of our experiment show the possibility of measuring small differences in the early posterior negativity (EPN) component between neutral and emotional (angry/happy) stimuli consistently with previous works using research-grade EEG systems.

Kernel K-Means clustering algorithm for identification of glaucoma in ophthalmology

Stapor K., Bruckner A.

Journal of Medical Informatics & Technologies

2005

Vol. 9

167--172

This paper presents the improved version of the classification system for supporting glaucoma diagnosis in ophthalmology, proposed in [4]. In this paper we propose the new segmentation step based on the kernel K-Means clustering algorithm which enable for better classification performance.