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Fons Schipper
Fons Schipper
Scientist, Philips Research
Bestätigte E-Mail-Adresse bei philips.com
Titel
Zitiert von
Zitiert von
Jahr
Atrial fibrillation detection using a novel cardiac ambulatory monitor based on photo‐plethysmography at the wrist
AG Bonomi, F Schipper, LM Eerikäinen, J Margarito, R van Dinther, ...
Journal of the American Heart Association 7 (15), e009351, 2018
912018
Comparison between electrocardiogram-and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions
LM Eerikäinen, AG Bonomi, F Schipper, LRC Dekker, R Vullings, ...
Physiological measurement 39 (8), 084001, 2018
782018
Atrial fibrillation detection using photo-plethysmography and acceleration data at the wrist
AG Bonomi, F Schipper, LM Eerikäinen, J Margarito, RM Aarts, ...
2016 computing in cardiology conference (cinc), 277-280, 2016
762016
Detecting atrial fibrillation and atrial flutter in daily life using photoplethysmography data
LM Eerikäinen, AG Bonomi, F Schipper, LRC Dekker, HM de Morree, ...
IEEE journal of biomedical and health informatics 24 (6), 1610-1618, 2019
552019
Detecting episodes of brady-and tachycardia using photo-plethysmography at the wrist in free-living conditions
AG Bonomi, LM Eerikäinen, F Schipper, RM Aarts, HM De Morree, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
202017
Validating features for atrial fibrillation detection from photoplethysmogram under hospital and free-living conditions
LM Eerikäinen, L Dekker, AG Bonomi, R Vullings, F Schipper, J Margarito, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
142017
Estimation of respiratory rate and effort from a chest-worn accelerometer using constrained and recursive principal component analysis
F Schipper, RJG van Sloun, A Grassi, R Derkx, S Overeem, P Fonseca
Physiological Measurement 42 (4), 045004, 2021
132021
How accurately can we detect atrial fibrillation using photoplethysmography data measured in daily life?
LM Eerikäinen, AG Bonomi, F Schipper, L Dekker, R Vullings, ...
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
92019
A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep
F Schipper, RJG van Sloun, A Grassi, S Overeem, P Fonseca
Biomedical Signal Processing and Control 83, 104726, 2023
52023
Force-interval relationships of the heart measured with photoplethysmography during atrial fibrillation
LM Eerikäinen, AG Bonomi, L Dekker, F Schipper, R Vullings, RM Aarts
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
42018
Maximum a posteriori detection of heartbeats from a chest-worn accelerometer
F Schipper, RJG van Sloun, A Grassi, J Brouwer, F van Meulen, ...
Physiological Measurement 45 (3), 035009, 2024
12024
Overnight Sleep Staging Using Chest-Worn Accelerometry
F Schipper, A Grassi, M Ross, A Cerny, P Anderer, L Hermans, ...
Sensors 24 (17), 5717, 2024
2024
Estimating the severity of obstructive sleep apnea using ECG, respiratory effort and neural networks
P Fonseca, M Ross, A Cerny, P Anderer, F Schipper, A Grassi, M van Gilst, ...
IEEE Journal of Biomedical and Health Informatics, 2024
2024
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