Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology.

ABSTRACT: EEG-based Brain-computer interfaces (BCI) are facing basic challenges in real-world applications. The technical difficulties in developing truly wearable BCI systems that are capable of making reliable real-time prediction of users' cognitive states in dynamic real-life situations may seem almost insurmountable at times. Fortunately, recent advances in miniature sensors, wireless communication and distributed computing technologies offered promising ways to bridge these chasms. In this paper, we report an attempt to develop a pervasive on-line EEG-BCI system using state-of-art technologies including multi-tier Fog and Cloud Computing, semantic Linked Data search, and adaptive prediction/classification models. To verify our approach, we implement a pilot system by employing wireless dry-ele

SUBMITTER: Zao JK 

PROVIDER: S-EPMC4042686 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature