Stay informed on the latest advancements in EEG, biosignals, and physiological signal research. Our blog offers valuable insights and practical knowledge for researchers, clinicians, and enthusiasts alike. Feel free to browse our posts and discover new perspectives in the field!
Explore five more common questions about EEG, focusing on what brain waves mean. Discover who pioneered EEG, how to identify abnormal patterns, whether past seizures can be detected, and the intriguing connections between EEG patterns, problem-solving, and intelligence.
Prepare to be amazed! Mentalab's collaborator, Dr. Stephen Whitmarsh, is pioneering a unique application of EEG by transforming brain waves into musical sound waves using EEGsynth, an open-source Python codebase. We're excited to share insights from Dr. Whitmarsh himself on how he integrated Mentalab Explore with EEGsynth to achieve this innovative fusion of neuroscience and music.
Reducing noise is paramount in EEG research, especially when the signal-to-noise ratio is low, as high noise levels can obscure significant findings and hinder publication. While traditional noise reduction methods are often cumbersome, Steady-State Visually Evoked Potentials (SSVEPs) offer a powerful alternative to enhance signal visibility.
Electroencephalography (EEG) measures brain activity by detecting electrical currents from neurons on the scalp. This non-invasive technique, pioneered by Hans Berger in 1924, is vital for diagnosing neurological conditions like epilepsy, stroke, and sleep disorders. EEG offers unparalleled temporal resolution, allowing real-time monitoring of brain activity, and can be safely performed by trained professionals in various settings.
Event Related Potentials (ERPs) are brain responses triggered by stimuli, a fundamental tool in neuroscience and psychology. To visualize these subtle electrophysiological signals using EEG, noise must be minimized, often by averaging data from multiple trials. The P300, a well-studied ERP, is a positive waveform emerging around 300 milliseconds after an unexpected event, commonly elicited using the oddball paradigm where rare "deviant" stimuli are interspersed among frequent "default" ones.
