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!
Sleep is fundamental to our well-being, yet understanding its trends can be complex. EEG offers unique insights into brain activity during sleep, helping us uncover factors contributing to restlessness and fatigue. Mobile EEG devices, like Mentalab Explore, are revolutionizing sleep research by enabling comfortable, at-home recordings that capture comprehensive sleep data, rivaling traditional in-lab polysomnography.
Low-density EEG systems are gaining popularity, offering significant advantages for research, even complementing existing high-density setups. While high-density systems are still the gold standard for detailed source localization, mobile low-density devices provide comparable data quality for many paradigms, enable parallel data collection from multiple subjects, and offer substantial cost savings. Their portability also allows for ecologically valid research outside the lab and helps address inequities in traditional EEG studies by reaching underrepresented populations.
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.
