AUTHOR=Cao Lei , Chen Shugeng , Jia Jie , Fan Chunjiang , Wang Haoran , Xu Zhixiong 

TITLE=An Inter- and Intra-Subject Transfer Calibration Scheme for Improving Feedback Performance of Sensorimotor Rhythm-Based BCI Rehabilitation

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 14 - 2020

YEAR=2021

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.629572

DOI=10.3389/fnins.2020.629572

ISSN=1662-453X

ABSTRACT=Brain Computer Interface (BCI) system is a typical neurophysiological application to help paralyzed patients for human-machine communication. Stroke patients with motor disabilities are able to perform BCI tasks for clinical rehabilitation. This paper proposed an effective scheme of transfer calibration for BCI rehabilitation. The inter- and intra-subject transfer learning approaches could improve the low-precision classification performance for experimental feedback. The results implied that the systematical scheme was positive for increasing the confidence of voluntary training for stroke patients. In addition, it also reduced the time consumption of classifier calibration.