Multimodal EEG, ECG, and video dataset of yoga practitioners during concentration and mind-wandering tasks

Scientific data. 2026. Vol. 13. Article 850.

Kashevnik A., Glekler E., Artemenko E., Brak I., Shoshina I., Romaniuk V.

We present a multimodal dataset containing electroencephalography (EEG), electrocardiography (ECG), and video recordings from 49 participants. Each participant completed a single session lasting approximately 45 minutes. During each session they performed five tasks: resting state, inward concentration (focusing on the center of the forehead), outward concentration (visual search), and mind-wandering. EEG data were recorded from 64 channels at 2048 Hz; ECG and frontal video were collected simultaneously. The dataset includes 49 validated recordings: 25 from experienced yoga practitioners and 24 from individuals without prior experience in yoga or other self-regulation practices. The recordings are synchronized and structured for convenient use in cross-modal analyses. This dataset may support research in attention, concentration, meditation, affective computing, and multimodal signal integration. All data are anonymized and organized for easy access and reuse.

Keywords: EEG, multimodal, Consciousness, Neurophysiology

Publication based on the results of: Analysis of Human Interaction with Information and Improvement of Algorithms of Information Processing (2025)