Sleep stage classification with ECG and respiratory effort P Fonseca, X Long, M Radha, R Haakma, RM Aarts, J Rolink Physiological measurement 36 (10), 2027, 2015 | 205 | 2015 |
Sleep stage classification from heart-rate variability using long short-term memory neural networks M Radha, P Fonseca, A Moreau, M Ross, A Cerny, P Anderer, X Long, ... Scientific reports 9 (1), 14149, 2019 | 163 | 2019 |
Validation of photoplethysmography-based sleep staging compared with polysomnography in healthy middle-aged adults P Fonseca, T Weysen, MS Goelema, EIS Møst, M Radha, ... Sleep 40 (7), zsx097, 2017 | 152 | 2017 |
Sleep and wake classification with actigraphy and respiratory effort using dynamic warping X Long, P Fonseca, J Foussier, R Haakma, RM Aarts IEEE journal of biomedical and health informatics 18 (4), 1272-1284, 2013 | 118 | 2013 |
Analyzing respiratory effort amplitude for automated sleep stage classification X Long, J Foussier, P Fonseca, R Haakma, RM Aarts Biomedical Signal Processing and Control 14, 197-205, 2014 | 103 | 2014 |
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography M Radha, P Fonseca, A Moreau, M Ross, A Cerny, P Anderer, X Long, ... NPJ digital medicine 4 (1), 135, 2021 | 91 | 2021 |
Cardiorespiratory sleep stage detection using conditional random fields P Fonseca, N Den Teuling, X Long, RM Aarts IEEE journal of biomedical and health informatics 21 (4), 956-966, 2016 | 82 | 2016 |
Estimating blood pressure trends and the nocturnal dip from photoplethysmography M Radha, K De Groot, N Rajani, CCP Wong, N Kobold, V Vos, P Fonseca, ... Physiological measurement 40 (2), 025006, 2019 | 79 | 2019 |
Wearable monitoring of sleep-disordered breathing: estimation of the apnea–hypopnea index using wrist-worn reflective photoplethysmography GB Papini, P Fonseca, MM van Gilst, JWM Bergmans, R Vullings, ... Scientific reports 10 (1), 13512, 2020 | 70 | 2020 |
Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population P Fonseca, MM van Gilst, M Radha, M Ross, A Moreau, A Cerny, ... Sleep 43 (9), zsaa048, 2020 | 67 | 2020 |
Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging X Long, J Yang, T Weysen, R Haakma, J Foussier, P Fonseca, RM Aarts Physiological measurement 35 (12), 2529, 2014 | 54 | 2014 |
Protocol of the SOMNIA project: an observational study to create a neurophysiological database for advanced clinical sleep monitoring MM van Gilst, JP van Dijk, R Krijn, B Hoondert, P Fonseca, RJG van Sloun, ... BMJ open 9 (11), e030996, 2019 | 48 | 2019 |
Photoplethysmography beat detection and pulse morphology quality assessment for signal reliability estimation GB Papini, P Fonseca, XL Aubert, S Overeem, JWM Bergmans, R Vullings 2017 39th annual international conference of the IEEE engineering in …, 2017 | 48 | 2017 |
It is all in the wrist: wearable sleep staging in a clinical population versus reference polysomnography BM Wulterkens, P Fonseca, LWA Hermans, M Ross, A Cerny, P Anderer, ... Nature and Science of Sleep, 885-897, 2021 | 47 | 2021 |
A comparison of probabilistic classifiers for sleep stage classification P Fonseca, N Den Teuling, X Long, RM Aarts Physiological measurement 39 (5), 055001, 2018 | 44 | 2018 |
Spectral boundary adaptation on heart rate variability for sleep and wake classification X Long, P Fonseca, R Haakma, RM Aarts, J Foussier International Journal on Artificial Intelligence Tools 23 (03), 1460002, 2014 | 44 | 2014 |
Measures of cardiovascular autonomic activity in insomnia disorder: A systematic review MM Nano, P Fonseca, R Vullings, RM Aarts PloS one 12 (10), e0186716, 2017 | 43 | 2017 |
Automatic video summarization based on MPEG-7 descriptions PM Fonseca, F Pereira Signal Processing: Image Communication 19 (8), 685-699, 2004 | 43 | 2004 |
A novel low-complexity post-processing algorithm for precise QRS localization P Fonseca, R Aarts, X Long, P, Foussier SpringerPlus 3, 376, 2004 | 41* | 2004 |
Audio-based snore detection using deep neural networks J Xie, X Aubert, X Long, J van Dijk, B Arsenali, P Fonseca, S Overeem Computer Methods and Programs in Biomedicine 200, 105917, 2021 | 37 | 2021 |