Singh AHussain AALal SGuesgen HWTran Y2023-11-142023-11-202021-03-202023-11-142023-11-202021-03-20Singh A, Hussain AA, Lal S, Guesgen HW. (2021). A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface.. Sensors (Basel). 21. 6. (pp. 1-35).1424-8220https://mro.massey.ac.nz/handle/10179/69161Motor imagery (MI) based brain-computer interface (BCI) aims to provide a means of communication through the utilization of neural activity generated due to kinesthetic imagination of limbs. Every year, a significant number of publications that are related to new improvements, challenges, and breakthrough in MI-BCI are made. This paper provides a comprehensive review of the electroencephalogram (EEG) based MI-BCI system. It describes the current state of the art in different stages of the MI-BCI (data acquisition, MI training, preprocessing, feature extraction, channel and feature selection, and classification) pipeline. Although MI-BCI research has been going for many years, this technology is mostly confined to controlled lab environments. We discuss recent developments and critical algorithmic issues in MI-based BCI for commercial deployment.(c) 2021 The Author/sCC BYhttps://creativecommons.org/licenses/by/4.0/BCI calibrationBCI illiteracyBCI trainingadaptive BCIasynchronous BCIbrain–computer interface (BCI)electroencephalography (EEG)motor imageryonline BCIBrain-Computer InterfacesElectroencephalographyImaginationJournal article10.3390/s210621731424-8220journal-article1-35https://www.ncbi.nlm.nih.gov/pubmed/33804611ARTN 2173s21062173