4 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…
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…
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…