Search Results for author: Kaare Mikkelsen

Found 6 papers, 1 papers with code

Study of cognitive component of auditory attention to natural speech events

no code implementations16 Dec 2023 Nhan D. T. Nguyen, Kaare Mikkelsen, Preben Kidmose

This study proposes a novel approach to auditory attention decoding by looking at higher-level cognitive responses to natural speech.

EEG Electroencephalogram (EEG)

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging

1 code implementation9 Jan 2023 Huy Phan, Kristian P. Lorenzen, Elisabeth Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare Mikkelsen, Maarten De Vos

In this work, we show that while encoding the logic of a whole sleep cycle is crucial to improve sleep staging performance, the sequential modelling approach in existing state-of-the-art deep learning models are inefficient for that purpose.

EEG Electroencephalogram (EEG) +1

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization

no code implementations23 Apr 2020 Huy Phan, Kaare Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos

We employ the pretrained SeqSleepNet (i. e. the subject independent model) as a starting point and finetune it with the single-night personalization data to derive the personalized model.

Sleep Staging Specificity +1

Personalizing deep learning models for automatic sleep staging

no code implementations8 Jan 2018 Kaare Mikkelsen, Maarten De Vos

Starting from a general convolutional neural network architecture, we allow the model to learn individual characteristics of the first night of sleep in order to quantify sleep stages of the second night.

Neurons and Cognition

Cannot find the paper you are looking for? You can Submit a new open access paper.