Related Experiment Video
Updated: Jun 9, 2025
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
A multiple session dataset of NIRS recordings from stroke patients controlling brain-computer interface
Mikhail R Isaev1, Olesya A Mokienko1,2, Roman Kh Lyukmanov2
1Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Butlerova St., 5A, Moscow, 117485, Russia.
Abstract:
This paper presents an open dataset of over 50 hours of near infrared spectroscopy (NIRS) recordings. Fifteen stroke patients completed a total of 237 motor imagery brain-computer interface (BCI) sessions. The BCI was controlled by imagined hand movements; visual feedback was presented based on the real-time data classification results. We provide the experimental records, patient demographic profiles, clinical scores (including ARAT and Fugl-Meyer), online BCI performance, and a simple analysis of hemodynamic response. We assume that this dataset can be useful for evaluating the effectiveness of various near-infrared spectroscopy signal processing and analysis techniques in patients with cerebrovascular accidents.
