moabb.datasets.BNCI2015_007#

class moabb.datasets.BNCI2015_007[source]#

BNCI 2015-007 Motion VEP (mVEP) Speller dataset.

Dataset summary

#Subj

16

#Chan

63

#Trials / class

varies NT / T

Trials length

0.7 s

Freq

100 Hz

#Sessions

1

Participants

Population: healthy

Age: 23.8 years

BCI experience: experienced

Equipment

Amplifier: BrainAmp

Electrodes: active electrode

Montage: 10-10

Reference: linked mastoids

Preprocessing

Data state: epoched

Bandpass filter: 0.016-250 Hz

Steps: downsampling, low-pass filtering, epoching, baseline correction, artifact rejection, re-referencing

Re-reference: linked

mastoid

Data Access

DOI: 10.1088/1741-2560/9/4/045006

Experimental Protocol

Paradigm: p300

Feedback: online visual feedback (selected symbols displayed in gray at top of screen)

Stimulus: rsvp

Dataset summary

Name

#Subj

#Chan

#Trials/class

Trials length

Sampling Rate

#Sessions

BNCI2015_007

16

63

~1800 NT / ~360 T

0.7s

100Hz

1

Dataset from [R0ffe78ffbafd-1].

Dataset Description

This dataset implements a motion-onset visual evoked potential (mVEP) based brain-computer interface for gaze-independent spelling. Unlike conventional flash-based P300 spellers that use luminance changes, this paradigm uses motion onset (moving bar stimuli) to elicit visual evoked potentials, specifically the N200 component. This approach has advantages including lower visual fatigue, reduced luminance and contrast requirements, and potential for use in bright environments.

The motion VEP (mVEP) speller operates by presenting moving bar stimuli at different positions in a matrix layout. When the user attends to a target position, the motion onset at that location elicits a characteristic N200 response that can be detected to determine the user’s intended selection.

Participants

16 healthy subjects

Gender: Not specified in metadata

Age: Not specified in metadata

BCI experience: Not specified

Health status: Healthy volunteers

Location: Neurotechnology Group, Technische Universitat Berlin, Germany

Recording Details

Equipment: BrainProducts actiCap active electrode system

Channels: 63 EEG electrodes (standard 10-10 system)

Sampling rate: 100 Hz (downsampled from original recording)

Reference: Nose reference

Montage: standard_1005

Filters: Bandpass filtered during preprocessing

Units: uV (converted to V during loading)

Experimental Procedure

6x6 matrix speller layout (36 possible targets)

Motion onset stimulation (moving bars)

6 stimulus positions per row/column

Overt attention paradigm (gaze-dependent) and covert attention modes

One recording session per subject with multiple runs (typically 2)

Each run contains multiple spelling sequences

Data Organization

Subject codes: fat, gdf, gdg, iac, iba, ibe, ibq, ibs, ibt, ibu, ibv, ibw, ibx, iby, ice, icv

Data URL: http://doc.ml.tu-berlin.de/bbci/BNCIHorizon2020-MVEP/

Event Codes

Target (1): Target stimulus presented (attended)

NonTarget (2): Non-target stimulus presented (not attended)

#Subj	16
#Chan	63
#Trials / class	varies NT / T
Trials length	0.7 s
Freq	100 Hz
#Sessions	1