Pedro Fonseca

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 16

Top Topics

Transfer Learning

Automatic Detection

Visual Analytics

Top Venues

Biomed. Signal Process. Control.

IEEE J. Biomed. Health Informatics

Comput. Intell. Neurosci.

Publications

Luca Cerina, Gabriele B. Papini, Pedro Fonseca, Sebastiaan Overeem, Rik Vullings
Measurement of cardia-respiratory dynamics during sleep arousals with a suprasternal pressure sensor. MeMeA (2024)
Pedro Fonseca, Marco Ross, Andreas Cerny, Peter Anderer, Fons Schipper, Angela Grassi, Merel van Gilst, Sebastiaan Overeem
Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Fons Schipper, Ruud J. G. van Sloun, Angela Grassi, Sebastiaan Overeem, Pedro Fonseca
A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep. Biomed. Signal Process. Control. 83 (2023)
Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun
Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows. ICASSP (2023)
Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun
Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Jiali Xie, Pedro Fonseca, Johannes P. van Dijk, Sebastiaan Overeem, Xi Long
Assessment of obstructive sleep apnea severity using audio-based snoring features. Biomed. Signal Process. Control. 86 (Part A) (2023)
Humberto S. Garcia Caballero, Alberto Corvò, Fokke van Meulen, Pedro Fonseca, Sebastiaan Overeem, Jarke J. van Wijk, Michel A. Westenberg
PerSleep: A Visual Analytics Approach for Performance Assessment of Sleep Staging Models. VCBM (2021)
Jiali Xie, Xavier L. Aubert, Xi Long, Johannes P. van Dijk, Bruno Arsenali, Pedro Fonseca, Sebastiaan Overeem
Audio-based snore detection using deep neural networks. Comput. Methods Programs Biomed. 200 (2021)
Mustafa Radha, Pedro Fonseca, Arnaud Moreau, Marco Ross, Andreas Cerny, Peter Anderer, Xi Long, Ronald M. Aarts
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography. npj Digit. Medicine 4 (2021)
Jerome Rolink, Pedro Fonseca, Xi Long, Steffen Leonhardt
Improving sleep/wake classification with recurrence quantification analysis features. Biomed. Signal Process. Control. 49 (2019)
Marina-Marinela Nano, Pedro Fonseca, Sebastiaan Overeem, Rik Vullings, Ronald M. Aarts
Autonomic cardiac activity in adults with short and long sleep onset latency. EMBC (2018)
Gabriele B. Papini, Pedro Fonseca, Jenny Margarito, Merel M. van Gilst, Sebastiaan Overeem, Jan W. M. Bergmans, Rik Vullings
On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database. EMBC (2018)
Xi Long, Pedro Fonseca, Ronald M. Aarts, Reinder Haakma, Jerome Rolink, Steffen Leonhardt
Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Pedro Fonseca, Niek den Teuling, Xi Long, Ronald M. Aarts
Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields. IEEE J. Biomed. Health Informatics 21 (4) (2017)
Gabriele B. Papini, Pedro Fonseca, Xavier L. Aubert, Sebastiaan Overeem, Jan W. M. Bergmans, Rik Vullings
Photoplethysmography beat detection and pulse morphology quality assessment for signal reliability estimation. EMBC (2017)
Xi Long, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts
Actigraphy-based sleep/wake detection for insomniacs. BSN (2017)
Xi Long, Reinder Haakma, Tim R. M. Leufkens, Pedro Fonseca, Ronald M. Aarts
Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis. Comput. Intell. Neurosci. 2015 (2015)
Xi Long, Reinder Haakma, Jerome Rolink, Pedro Fonseca, Ronald M. Aarts
Improving sleep/wake detection via boundary adaptation for respiratory spectral features. EMBC (2015)
Jerome Rolink, Martin Kutz, Pedro Fonseca, Xi Long, Berno J. E. Misgeld, Steffen Leonhardt
Recurrence quantification analysis across sleep stages. Biomed. Signal Process. Control. 20 (2015)
Xi Long, Pedro Fonseca, Jérôme Foussier, Reinder Haakma, Ronald M. Aarts
Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping. IEEE J. Biomed. Health Informatics 18 (4) (2014)
Xi Long, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts, Jérôme Foussier
Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification. Int. J. Artif. Intell. Tools 23 (3) (2014)
Xi Long, Jérôme Foussier, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts
Analyzing respiratory effort amplitude for automated sleep stage classification. Biomed. Signal Process. Control. 14 (2014)
Xi Long, Pedro Fonseca, Reinder Haakma, Jérôme Foussier, Ronald M. Aarts
Automatic detection of overnight deep sleep based on heart rate variability: A preliminary study. EMBC (2014)
Jérôme Foussier, Pedro Fonseca, Xi Long, Berno J. E. Misgeld, Steffen Leonhardt
Combining HRV Features for Automatic Arousal Detection. CinC (2013)
Jérôme Foussier, Pedro Fonseca, Xi Long, Steffen Leonhardt
Automatic Feature Selection for Sleep/Wake Classification with Small Data Sets. BIOINFORMATICS (2013)
Xi Long, Jérôme Foussier, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts
Respiration amplitude analysis for REM and NREM sleep classification. EMBC (2013)
Pedro Fonseca, Xi Long, Jérôme Foussier, Ronald M. Aarts
On the impact of arousals on the performance of sleep and wake classification using actigraphy. EMBC (2013)
Xi Long, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts, Jérôme Foussier
Time-frequency analysis of heart rate variability for sleep and wake classification. BIBE (2012)
Xi Long, Pedro Fonseca, Jérôme Foussier, Reinder Haakma, Ronald M. Aarts
Using dynamic time warping for sleep and wake discrimination. BHI (2012)
Tsvetomira Tsoneva, Pedro Fonseca, Janto Skowronek
Towards a Ground Truth for Affective Classification in Movies. ISM (2009)
Lu Wang, Pedro Fonseca, Bas Zoetekouw
User test of soccer highlights application. BCS HCI (2) (2008)
Mauro Barbieri, Pedro Fonseca, Marc A. Peters, Lu Wang
Multimedia content analysis for consumer electronics. CIVR (2008)
Jan Nesvadba, Pedro Fonseca, Alexander Sinitsyn, Fons de Lange, Martijn Thijssen, Patrick van Kaam, Hong Liu, Rien van Leeuwen, Johan J. Lukkien, Andrei Korostelev, Jan Ypma, Bart Kroon, Hasan Celik, Alan Hanjalic, Suphi Umut Naci, Jenny Benois-Pineau, Peter H. N. de With, Jungong Han
Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks. ICME (2005)
Pedro Fonseca, Jan Nesvadba
Face detection in the compressed domain. ICIP (2004)