Motor Imagery vs Rest - Low-Cost EEG System
…with zero counts for EOG/ECG/EMG/MISC/Trigger, the `10-20…
- Participants
- 10
- Channels
- 15 (10-20)
- Citations
- 66
- Size
- 69.3 MB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
100 results for "ECG" · page 9 of 10 · ranked by relevance
…with zero counts for EOG/ECG/EMG/MISC/Trigger, the `10-20…
64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
…EOG, ECG recorded - **Sampling rate**: 2048 Hz (downsampled to 128 Hz during…
This dataset comprises EEG recordings from 8 healthy subjects performing a P300-based brain-computer interface task using a 6x6 checkerboard visual stimulus paradigm. Recorded at 256 Hz with 16 channels using g.USBamp hardware, the data includes target and non-target event classifications for speller application development. This derivative dataset is part of the BigP3BCI study, the largest public P300 BCI dataset containing recordings from approximately 267 subjects across multiple stimulus paradigms.
…Cz, Pz (#305 and #306) * 1 ECG bipolar (#307) * 2 EOG bipolar…
This dataset comprises synchronized electroencephalographic (EEG), autonomic physiological, and behavioral recordings acquired during an emotional word association task. Participants performed a lexical task involving fear-related concepts, selecting or generating words in response to prompts while neural activity, autonomic responses (electrodermal activity, blood volume pulse, interbeat interval, and skin temperature), and behavioral events were recorded. The dataset includes 8-channel EEG data sampled at 250 Hz alongside physiological signals from an Empatica E4 wristband, with semantic similarity measures between consecutive word responses. This is the enriched version of OpenNeuro dataset ds007955 with additional analysis and documentation. Note: Physiological data for participant 7 are unavailable due to a data acquisition error with the Empatica E4 recording system; EEG and behavioral data remain available for this participant.
This derivative dataset presents an event-related potential (ERP) paradigm from the Mobile BCI dataset, comprising 24 healthy participants performing visual oddball tasks during various locomotion states (standing, walking, running). The dataset includes 73-channel EEG recordings sampled at 100 Hz with 5 sessions per subject, annotated with HED 8.4.0 event tags for target and non-target stimuli. This resource enables investigation of P300-based brain-computer interface performance in mobile and dynamic environments.
…Electrode type**: wet - **Auxiliary channels**: ecg, gsr, ppg ## Participants - **Number of subjects…
…EOG (4 ch, horizontal, vertical), ecg, respiration Participants ------------ Number of subjects: 29…
This dataset contains EEG recordings from a collaborative brain-computer interface (BCI) study using rapid serial visual presentation (RSVP) for target image detection. Fourteen healthy subjects, organized into seven pairs, performed synchronized RSVP tasks distinguishing human from non-human images, generating p300-like event-related potentials. The dataset is a BIDS-formatted derivative converted using the MOABB toolbox from the original data by Zheng et al. (2020).