4 papers
Unsupervised domain transfer: Overcoming signal degradation in sleep monitoring by increasing scoring realism
Mohammad Ahangarkiasari, Andreas Tind Damgaard, Casper Haurum +1
Objective: Investigate whether hypnogram 'realism' can be used to guide an unsupervised method for handling arbitrary types of signal degradation in mobile sleep monitoring. Approa…
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…
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…