Automatic sleep scoring with LSTM networks: impact of time granularity and input signals

Autor: Alexandra-Maria Tăuțan, Alessandro C. Rossi, Bogdan Ionescu

Publikováno v: Biomedizinische Technik. Biomedical engineeringReferences. 67(4)

Supervised automatic sleep scoring algorithms are usually trained using sleep stage labels manually annotated on 30 s epochs of PSG data. In this study, we investigate the impact of using shorter epochs with various PSG input signals for training and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fefdeba5289f8a75ed2d54f823c316c4
https://pubmed.ncbi.nlm.nih.gov/35660133

Automatic Sleep Stage Detection: A Study on the Influence of Various PSG Input Signals

Autor: Ruben de Francisco, Alessandro C. Rossi, Alexandra-Maria Tautan, Bogdan Ionescu

Publikováno v: EMBC

Automatic sleep stage detection can be performed using a variety of input signals from a polysomnographic (PSG) recording. In this study, we investigate the effect of different input signals on the performance of feature-based automatic sleep stage c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4091d5e53dd66acd59cd3479c6beaec3
https://pubmed.ncbi.nlm.nih.gov/33019187

Dimensionality reduction for EEG-based sleep stage detection: comparison of autoencoders, principal component analysis and factor analysis

Autor: Alessandro C. Rossi, Bogdan Ionescu, Alexandra-Maria Tăuţan, Ruben de Francisco

Publikováno v: Biomedizinische Technik. Biomedical engineeringReferences. 66(2)

Methods developed for automatic sleep stage detection make use of large amounts of data in the form of polysomnographic (PSG) recordings to build predictive models. In this study, we investigate the effect of several dimensionality reduction techniqu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::130828e02a47a13cd499cbff1b5af220
https://pubmed.ncbi.nlm.nih.gov/33048831

Automatic Sleep Stage Detection using a Single Channel Frontal EEG

Autor: Bogdan Ionescu, Ruben de Francisco, Alessandro C. Rossi, Alexandra-Maria Tautan

Publikováno v: 2019 E-Health and Bioengineering Conference (EHB).

Sleep stage detection algorithms can significantly reduce the workload of manual sleep staging and in improving sleep disorder diagnostics. In this paper, we focus on the automatic detection of sleep stages from a frontal channel EEG using expert def

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb6a59896ae93e6db34e5fdd75c1c443
https://doi.org/10.1109/ehb47216.2019.8969973

Assessment and comparison of left ventricular shear in normal and situs inversus totalis hearts by means of magnetic resonance tagging

Autor: Alessandro C. Rossi, Wilco Kroon, MH Marieke Pluijmert, Theo Arts, Peter H. M. Bovendeerd, Tammo Delhaas

Publikováno v: American Journal of Physiology : Heart and Circulatory Physiology, 308(5), H416-H423. American Physiological Society
American Journal of Physiology-heart and Circulatory Physiology, 308(5), H416-H423. American Physiological Society

Situs inversus totalis (SIT) is characterized by complete mirroring of gross cardiac anatomy and position combined with an incompletely mirrored myofiber arrangement, being normal at the apex but inverted at the base of the left ventricle (LV). This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9b3b6e268829f601d1b59f361131bfe
https://research.tue.nl/nl/publications/85cfad00-338f-49cc-a638-e6c86ccc5a3a