AI unlocks rhythms of 'deep sleep' - Neuroscience News

Summary: New machine learning technology that researchers have made free online can be used by sleep experts to study the role of K-complex, a brief but prominent pattern of brain activity that lasts around half a second during sleep. Algorithms and deep learning has enabled Flinders University sleep researchers to dive deep into one of the mysteries of sleep health. They have used machine learning and artificial intelligence to develop a free online tool being used by sleep experts and researchers around the world to work out the role of the so-called K-complex, a prominent, brief up-down-up pattern of brain electro-encephalogram (EEG) electrical activity lasting around half a second during sleep. When displayed on an EEG screen, it looks a bit like a'K', says Bastien Lechat, lead author on a new Flinders University paper published in Sleep journal. "We hope this algorithm will help to fast forward new discoveries regarding the mysterious K-complex waveform and its associated health outcomes."