Zhou2016

UC San Diego 2026 Dataset Open access

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Authors: Bangyan Zhou, Xiaopei Wu, Zongtan Lv, Lei Zhang, Xiaojin Guo
DOI: 10.82901/nemar.nm000115.v1.0.0
Cited by: 0
References: 1

Abstract

This dataset comprises EEG recordings from four subjects performing motor imagery tasks (left hand, right hand, and feet) across three sessions. The data includes 14-channel EEG recordings sampled at 250 Hz, with a total of 450 trials per subject. The dataset was originally collected to investigate automated trial selection methods for optimization of motor imagery-based brain-computer interfaces and has been reformatted into BIDS format.

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Muscle activation and electromyography studies Gaze Tracking and Assistive Technology

Publication details

Journal / source
UC San Diego
Publication date
10 July 2026
Language
EN
Document type
Dataset