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Hitting the phase: real-time phase estimation of EEG slow brain waves during sleep
Sleep is a complex process that plays a fundamental role in restorative brain and body functions. Specifically, the brain activity patterns during non-rapid eye movement (NREM) sleep, such as slow waves (SW), might be the carriers of these restorative effects. Precisely timed, short acoustic tones played in phase with the SW have been shown to enhance the slow wave activity (SWA) during NREM sleep. Therefore, the development of approaches that are able to deliver the acoustic stimulation tone at a specific target phase during the SW have received considerable attention in the last years.
Keywords: EEG Slow waves, real-time phase estimation, biomedical signal processing
In this project the student will be: 1) implementing different approaches used for the first time for real-time SW phase estimation, and 2) testing their performance in comparison with existing methods.
In this project the student will be: 1) implementing different approaches used for the first time for real-time SW phase estimation, and 2) testing their performance in comparison with existing methods.
Develop a real-time phase estimation algorithm to precisely estimate the EEG slow brain wave phase during non-rapid eye movement sleep.
Develop a real-time phase estimation algorithm to precisely estimate the EEG slow brain wave phase during non-rapid eye movement sleep.
Maria Laura Ferster
Mobile Health Systems Lab
Dept of Health Sciences and Technology
ETH Zurich
Lengghalde 5
8092 Zurich, Switzerland
Phone: +41 44 510 72 28
Maria Laura Ferster Mobile Health Systems Lab Dept of Health Sciences and Technology ETH Zurich Lengghalde 5 8092 Zurich, Switzerland Phone: +41 44 510 72 28