A Cloud-based Data Platform for Efficient EEG Data Management, Collaboration, and Analysis

Electroencephalography (EEG) data plays a crucial role in brain science research as it provides valuable insights into the mechanisms of brain functions. Typical EEG research involves conducting experiments, collecting data, and comprehensive data analysis. The success of such complex studies truly hinges on the collective efforts of multiple researchers. An efficient tool is required to facilitate such collaborative research. While many related tools exist, none specifically aim to enhance efficiency across data management, data analysis, and collaboration. To address this issue, we developed and deployed an integrated cloud-based platform for EEG experiment management, collaboration, and data analysis. Verified by practice, our platform facilitates collaboration, simplifies EEG data analysis for researchers not proficient in programming, and boosts the efficiency of overall EEG research.

I. Introduction

Electroencephalography (EEG) is a technique that records the electrical activity between neurons in the brain. It provides valuable insights into the mechanisms of various brain activities, such as cognition, memory, sleep, and emotion, and helps neuroscientists unravel the secret of the human brain [1], [2]. As a real-time technique that directly reflects the ongoing conditions inside the human brain, EEG has been widely used in clinical diagnosis and treatment of brain disorders, including epilepsy, Alzheimer’s disease, and anxiety [3], [4], [5]. EEG provides valuable information for monitoring and measuring changes in brain activity related to different tasks and contexts, which assist in investigating the mechanisms, structure, and function underlying cognition and behavior.