Title: A Multiple Session Dataset of NIRS Recordings From Stroke Patients Controlling Brain–Computer Interface: A Multiple Session Dataset of NIRS Recordings From Stroke Patients Controlling Brain–Computer Interface

This DOI is associated with A Multiple Session Dataset of NIRS Recordings From Stroke Patients Controlling Brain–Computer Interface.

Abstract

  • DOI:

    10.25790/bml0cm.167

  • Description:

    We provide the experimental records, optodes placement data, online BCI performance, and a MATLAB code for simple analysis of hemodynamic response. Each filename includes subject ID, day and session number. The file contains a tabulated configuration of the channels (source–detector pairs in the 10–10 system), the raw light intensity data for each channel on both wavelengths, HbO and HbR concentrations in mmol/l, labels of mental tasks for each time point, and a confusion matrix of online classification.

    Details:
    Associated publication: https://doi.org/10.1038/s41597-024-04012-6
    MATLAB format
    Stimuli type: imagined hand movements
    15 stroke patients
    7-24 sessions with online classification and visual feedback for each patient, 237 sessions in total
    Session duration: 9 or 14 mins
    50 hours of recordings in total
    14 sources
    8 detectors
    28 channels on each wavelength, 56 in total
    Sample Rate: 15.6 Hz
    Wavelengths: 760/850 nm
    Acquisition System: NIRScout

  • Publisher:

    NITRC

  • Publication Year:

    2024

Author Information

  • Authors:

    Isaev M. R., Mokienko O. A.,.Lyukmanov R. Kh., Ikonnikova E. S., Cherkasova A. N., Suponeva N. A., Piradov M. A., Bobrov P. D.

  • Cite as:

    Isaev, M.R., Mokienko, O.A., Lyukmanov, R.K. et al. A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface. Sci Data 11, 1168 (2024). https://doi.org/10.1038/s41597-024-04012-6

File Information