BrainView: A Novel Platform for Acquisition, Processing, and Warehouse of EEG Signals from a Portable Device

Electroencephalographic (EEG) signal analysis has emerged as a promising tool for early diagnosis and continuous monitoring of neurodegenerative diseases. In recent years, portable technologies for EEG signal acquisition have gained significant attention due to their potential for continuous and non-invasive monitoring of brain activity in various contexts, ranging from clinical research to commercial and personal consumer applications. We aim to design and develop a platform that simplifies the acquisition, processing, and storage of EEG signals, improving monitoring of the progression and manifestation of neurodegenerative diseases in uncontrolled environments like clinical settings. BrainView is built in collaboration with healthcare professionals to ensure it meets needs and facilitates implementation in everyday practices. The methodology used includes the design of a scalable and easy-to-use platform that integrates processes for the acquisition, processing, and storage of EEG signals and demographic data. Highlights include the use of OpenBCI technology for signal capture and the application of filtering techniques to the acquired data. The results obtained demonstrate the effectiveness of the platform in the acquisition and processing of EEG signals in real time, as well as its ability to store and manage data both locally and in the cloud. Usability testing indicates that the tool is intuitive even for non-specialist users, making it easy to adopt in clinical settings.