ArticleScientific data2026
Multimodal EEG, ECG, and video dataset of yoga practitioners during concentration and mind-wandering tasks.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
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.
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