Pedro Fonseca

Orcid: 0000-0003-2932-6402

Affiliations:
  • Eindhoven University of Technology, The Netherlands
  • Philips Research, Eindhoven, The Netherlands


According to our database1, Pedro Fonseca authored at least 36 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Overnight Sleep Staging Using Chest-Worn Accelerometry.
Sensors, September, 2024

Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks.
IEEE J. Biomed. Health Informatics, July, 2024

A generative foundation model for five-class sleep staging with arbitrary sensor input.
CoRR, 2024

Measurement of cardia-respiratory dynamics during sleep arousals with a suprasternal pressure sensor.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023
Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning.
IEEE J. Biomed. Health Informatics, November, 2023

Assessment of obstructive sleep apnea severity using audio-based snoring features.
Biomed. Signal Process. Control., September, 2023

A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep.
Biomed. Signal Process. Control., May, 2023

Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography.
npj Digit. Medicine, 2021

Audio-based snore detection using deep neural networks.
Comput. Methods Programs Biomed., 2021

PerSleep: A Visual Analytics Approach for Performance Assessment of Sleep Staging Models.
Proceedings of the VCBM 2021: 11th Eurographics Workshop on Visual Computing for Biology and Medicine, 2021

2019
Improving sleep/wake classification with recurrence quantification analysis features.
Biomed. Signal Process. Control., 2019

2018
On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Autonomic cardiac activity in adults with short and long sleep onset latency.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults.
IEEE J. Biomed. Health Informatics, 2017

Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields.
IEEE J. Biomed. Health Informatics, 2017

Photoplethysmography beat detection and pulse morphology quality assessment for signal reliability estimation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Actigraphy-based sleep/wake detection for insomniacs.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017

2015
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

Recurrence quantification analysis across sleep stages.
Biomed. Signal Process. Control., 2015

Improving sleep/wake detection via boundary adaptation for respiratory spectral features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping.
IEEE J. Biomed. Health Informatics, 2014

Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification.
Int. J. Artif. Intell. Tools, 2014

Analyzing respiratory effort amplitude for automated sleep stage classification.
Biomed. Signal Process. Control., 2014

Automatic detection of overnight deep sleep based on heart rate variability: A preliminary study.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Respiration amplitude analysis for REM and NREM sleep classification.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

On the impact of arousals on the performance of sleep and wake classification using actigraphy.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Combining HRV Features for Automatic Arousal Detection.
Proceedings of the Computing in Cardiology, 2013

Automatic Feature Selection for Sleep/Wake Classification with Small Data Sets.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
Time-frequency analysis of heart rate variability for sleep and wake classification.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

Using dynamic time warping for sleep and wake discrimination.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2009
Towards a Ground Truth for Affective Classification in Movies.
Proceedings of the 11th IEEE International Symposium on Multimedia, 2009

2008
Multimedia content analysis for consumer electronics.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

User test of soccer highlights application.
Proceedings of the 22nd British HCI Group Annual Conference on HCI 2008: People and Computers XXII: Culture, Creativity, Interaction, 2008

2005
Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

2004
Face detection in the compressed domain.
Proceedings of the 2004 International Conference on Image Processing, 2004


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