Publications by authors named "A Brink-Kjaer"
Article Synopsis
- The study aimed to identify new markers for narcolepsy type 1 (NT1) by analyzing different phases of the Multiple Sleep Latency Test (MSLT), focusing on sleep-wake instability and patterns during wakefulness.
- Researchers extracted 163 features related to sleepiness and microsleep from 177 patients with NT1, NT2, and other hypersomnia types, using automated analysis methods.
- Results showed that NT1 could be effectively distinguished from NT2, Idiopathic Hypersomnia, and Subjective Hypersomnia primarily using 'Lights On' features, indicating potential new markers for diagnosing and understanding NT1.
Study Objectives: To assess whether the frequency content of electroencephalography (EEG) and electrooculography (EOG) during nocturnal polysomnography (PSG) can predict all-cause mortality.
Methods: Power spectra from PSGs of 8,716 participants, included from the MrOS Sleep Study and the Sleep Heart Health Study (SHHS), were analyzed in deep learning-based survival models. The best-performing model was further examined using SHapley Additive Explanation (SHAP) for data-driven sleep-stage specific definitions of power bands, which were evaluated in predicting mortality using Cox Proportional Hazards models.
Fully Automated Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Using Actigraphy.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Isolated rapid-eye-movement (REM) sleep behavior disorder (iRBD) is caused by motor disinhibition during REM sleep and is a strong early predictor of Parkinson's disease. However, screening questionnaires for iRBD lack specificity due to other sleep disorders that mimic the symptoms. Nocturnal wrist actigraphy has shown promise in detecting iRBD by measuring sleep-related motor activity, but it relies on sleep diary-defined sleep periods, which are not always available.
View Article and Find Full Text PDFArticle Synopsis
- Detecting and characterizing movement abnormalities is crucial for identifying early signs of Parkinson's disease (PD).
- Current methods often use invasive sensors, but actigraphy offers a non-invasive way to collect data in real-life settings over extended periods.
- The proposed algorithm processes triaxial accelerometer data to identify walking bouts and gauge characteristics like cadence and arm swing, achieving high precision (0.90) and effective gait abnormality detection.
SViT: A Spectral Vision Transformer for the Detection of REM Sleep Behavior Disorder.
IEEE J Biomed Health Inform
September 2023
REM sleep behavior disorder (RBD) is a parasomnia with dream enactment and presence of REM sleep without atonia (RSWA). RBD diagnosed manually via polysomnography (PSG) scoring, which is time intensive. Isolated RBD (iRBD) is also associated with a high probability of conversion to Parkinson's disease.
View Article and Find Full Text PDF