42 citations · 52 across the 7 of their papers we have counts for
7 papers
Fully-automated sleep staging: multicenter validation of a generalizable deep neural network for Parkinson's disease and isolated REM sleep behavior disorder
Jesper Strøm, Casper Skjærbæk, Natasha Becker Bertelsen +11
Isolated REM sleep behavior disorder (iRBD) is a key prodromal marker of Parkinson's disease (PD), and video-polysomnography (vPSG) remains the diagnostic gold standard. However, m…
A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech
Simon Geirnaert, Simon L. Kappel, Preben Kidmose
Current assistive hearing devices, such as hearing aids and cochlear implants, lack the ability to adapt to the listener's focus of auditory attention, limiting their effectiveness…
Single-word Auditory Attention Decoding Using Deep Learning Model
Nhan Duc Thanh Nguyen, Huy Phan, Kaare Mikkelsen +1
Identifying auditory attention by comparing auditory stimuli and corresponding brain responses, is known as auditory attention decoding (AAD). The majority of AAD algorithms utiliz…
AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding
Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert +2
Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talker environment using brain signals, typically recorded through electroencephalogr…
Study of cognitive component of auditory attention to natural speech events
Nhan D. T. Nguyen, Kaare Mikkelsen, Preben Kidmose
Event-related potentials (ERP) have been used to address a wide range of research questions in neuroscience and cognitive psychology including selective auditory attention. The rec…
Light-weight sleep monitoring: electrode distance matters more than placement for automatic scoring
Kaare B. Mikkelsen, Huy Phan, Mike L. Rank +3
Modern sleep monitoring development is shifting towards the use of unobtrusive sensors combined with algorithms for automatic sleep scoring. Many different combinations of wet and…
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization
Huy Phan, Kaare Mikkelsen, Oliver Y. Chén +4
Brain waves vary between people. An obvious way to improve automatic sleep staging for longitudinal sleep monitoring is personalization of algorithms based on individual characteri…