Electroencephalography (EEG) is a non-invasive method for the recording and the study of electrical activity of the brain taken from the scalp. The source of these brain signals is mostly the synaptic activity between brain cells (neurons). EEG activity is represented by different waveforms per second (frequencies) that can be used to diagnose or monitor different health conditions such as epilepsy, sleeping disorders, seizures, Alzheimer disease, among other clinical uses. On the other hand, brain signals are used for many other research and entertainment purposes, such as neurofeedback, arts and neurogaming.
A brief introduction of BCIs (Brain-Computer Interfaces) and EEG will be given in order to understand the risks involved in our brain signals processing, storage and transmission.
Live demos include the visualization of live brain activity, the sniffing of brain signals over TCP/IP as well as flaws in well-known EEG applications when dealing with some corrupted samples of the most widely used EEG file formats (e.g. EDF). This talk is a first approach to demonstrate that many EEG technologies are prone to common network and application attacks.
Finally, best practices and regulatory compliance on digital EEG will be discussed.