Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation.

ABSTRACT:

Background

The current study explores the integration of a motor imagery (MI)-based BCI system with robotic rehabilitation designed for upper limb function recovery in stroke patients.

Methods

We developed a tablet deployable BCI control of the virtual iTbot for ease of use. Twelve right-handed healthy adults participated in this study, which involved a novel BCI training approach incorporating tactile vibration stimulation during MI tasks. The experiment utilized EEG signals captured via a gel-free cap, processed through various stages including signal verification, training, and testing. The training involved MI tasks with concurrent vibrotactile stimulation, utilizing common spatial pattern (CSP) training and linear discriminant analysis (LDA) for signal classifica

SUBMITTER: Lakshminarayanan K 

PROVIDER: S-EPMC11323104 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature