Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach.

ABSTRACT: Large-scale analysis of EEG and other physiological measures promises new insights into brain processes and more accurate and robust brain-computer interface models. However, the absence of standardized vocabularies for annotating events in a machine understandable manner, the welter of collection-specific data organizations, the difficulty in moving data across processing platforms, and the unavailability of agreed-upon standards for preprocessing have prevented large-scale analyses of EEG. Here we describe a "containerized" approach and freely available tools we have developed to facilitate the process of annotating, packaging, and preprocessing EEG data collections to enable data sharing, archiving, large-scale machine learning/data mining and (meta-)analysis. The EEG Study Schema (ESS)

SUBMITTER: Bigdely-Shamlo N 

PROVIDER: S-EPMC4782059 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature