| 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 | 87 | 2018 |
| 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 | 72 | 2016 |
| 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 | 71 | 2018 |
| Reduction of false arrhythmia alarms using signal selection and machine learning LM Eerikäinen, J Vanschoren, MJ Rooijakkers, R Vullings, RM Aarts Physiological measurement 37 (8), 1204, 2016 | 66 | 2016 |
| 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 | 51 | 2019 |
| Decreasing the false alarm rate of arrhythmias in intensive care using a machine learning approach LM Eerikäinen, J Vanschoren, MJ Rooijakkers, R Vullings, RM Aarts 2015 Computing in Cardiology Conference (CinC), 293-296, 2015 | 51 | 2015 |
| Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review LM Eerikäinen, AG Bonomi, LRC Dekker, R Vullings, RM Aarts Cardiovascular Digital Health Journal 1 (1), 45-51, 2020 | 24 | 2020 |
| Sinus or not: A new beat detection algorithm based on a pulse morphology quality index to extract normal sinus rhythm beats from wrist-worn photoplethysmography recordings GB Papini, P Fonseca, LM Eerikäinen, S Overeem, JWM Bergmans, ... Physiological measurement 39 (11), 115007, 2018 | 22 | 2018 |
| 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 | 19 | 2017 |
| Diagnostic accuracy between readers for identifying electrographic seizures in critically ill adults B Tu, GB Young, A Kokoszka, A Rodriguez‐Ruiz, J Varma, LM Eerikäinen, ... Epilepsia Open 2 (1), 67-75, 2017 | 15 | 2017 |
| 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 | 13 | 2017 |
| 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 | 9 | 2019 |
| Atrial Fibrillation Episodes Detected Using Photoplethysmography: Do We Know Which Are True? LM Eerikäinen, AG Bonomi, LRC Dekker, RM Aarts Journal of the American College of Cardiology 75 (11), 1365-1365, 2020 | 4 | 2020 |
| 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 | 4 | 2018 |
| Cardiac arrhythmia monitoring from clinical setting to daily life LM Eerikäinen | 2 | 2020 |
| Wrist-wearable photoplethysmograph for atrial fibrillation detection LM Eerikäinen, RM Aarts, AG Bonomi, R Vullings, L Dekker Poster Science meeting Catharina Hospital, 2017 | 1 | 2017 |
| Model-based detection and classification of premature contractions from photoplethysmography signals M Regis, LM Eerikäinen, R Haakma, ER van den Heuvel, P Serra Journal of the Royal Statistical Society Series C: Applied Statistics 72 (5 …, 2023 | | 2023 |
| Patent PCT/EP2020/054610 PJ de Andrade Serra, M Regis, L Eerikäinen | | 2020 |
| Robust probabilistic modeling of photoplethysmography signals with application to the classification of premature beats M Regis, LM Eerikäinen, R Haakma, ER van den Heuvel, P Serra arXiv preprint arXiv:1905.10856, 2019 | | 2019 |
| Menetelmiä automaattiselle epileptisten kohtausten tunnistamiselle: Piirteiden valinta ja arviointi L Eerikäinen | | 2014 |
Ronald M. AartsFull Professor Eindhoven University of Technology & President Aarts Consultancy & Philips Fellow ret在 tue.nl 的电子邮件经过验证
