| A novel low-complexity post-processing algorithm for precise QRS localization P Fonseca, J Foussier, R Aarts, X Long SpringerPlus 3, 376, 2014 | 325* | 2014 |
| Single-accelerometer-based daily physical activity classification X Long, B Yin, RM Aarts 31st Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 311 | 2009 |
| Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic X Ding, D Clifton, N Ji, NH Lovell, P Bonato, W Chen, X Yu, Z Xue, ... IEEE Reviews in Biomedical Engineering 14, 48-70, 2020 | 256 | 2020 |
| 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 |
| An active power-decoupling method for single-phase AC–DC converters M Su, P Pan, X Long, Y Sun, J Yang IEEE Transactions on Industrial Informatics 10 (1), 461-468, 2013 | 189 | 2013 |
| Sleep stage classification from heart-rate variability using long short-term memory neural networks M Radha, PF dos santos da Fonseca, A Moreau, M Ross, A Cerny, ... Scientific Reports 9 (1), 1-11, 2019 | 163 | 2019 |
| Sleep and wake classification with actigraphy and respiratory effort using dynamic warping X Long, P Fonseca, J Foussier, R Haakma, R Aarts IEEE Journal of Biomedical and Health Informatics 18 (4), 1272-1284, 2014 | 118 | 2014 |
| Unobtrusive sleep-state measurements in preterm infants - a review J Werth, L Atallah, P Andriessen, X Long, E Zwartkruis-Pelgrim, RM Aarts Sleep Medicine Reviews 32, 109-122, 2017 | 115 | 2017 |
| Diagnostic accuracy of computed tomography for chronic thromboembolic pulmonary hypertension: a systematic review and meta-analysis C Dong, M Zhou, D Liu, X Long, T Guo, X Kong PLoS One 10 (4), e0126985, 2015 | 107 | 2015 |
| 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), 135:1-11, 2021 | 105* | 2021 |
| 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 |
| Human gender classification: a review F Lin, Y Wu, Y Zhuang, X Long, W Xu International Journal of Biometrics 8 (3-4), 275-300, 2016 | 100 | 2016 |
| 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, 2017 | 82 | 2017 |
| Systolic blood pressure estimation using PPG and ECG during physical exercise S Sun, R Bezemer, X Long, J Muehlsteff, RM Aarts Physiological measurement 37 (12), 2154, 2016 | 82 | 2016 |
| EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures L Wang, X Long, JBAM Arends, RM Aarts Journal of Neuroscience Methods 290, 85-94, 2017 | 68 | 2017 |
| 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 |
| A new preprocessing approach for cell recognition X Long, WL Cleveland, YL Yao IEEE Transactions on Information Technology in Biomedicine 9 (3), 407-412, 2005 | 66 | 2005 |
| Automatic detection of unstained viable cells in bright field images using a support vector machine with an improved training procedure X Long, L Cleveland, YL Yao Computers in Biology and Medicine 36 (4), 339-362, 2006 | 59 | 2006 |
| 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), 2529-2542, 2014 | 54 | 2014 |
| EEG-based neonatal sleep-wake classification using multilayer perceptron neural network SF Abbasi, J Ahmad, A Tahir, M Awais, C Chen, M Irfan, HA Siddiqa, ... IEEE Access 8, 183025-183034, 2020 | 51 | 2020 |
Ronald M. AartsFull Professor Eindhoven University of Technology & President Aarts Consultancy & Philips Fellow retVerified email at tue.nl
