| Signal-quality indices for the electrocardiogram and photoplethysmogram: Derivation and applications to wireless monitoring C Orphanidou, T Bonnici, P Charlton, D Clifton, D Vallance, L Tarassenko IEEE Journal of Biomedical and Health Informatics 19 (3), 832-838, 2014 | 440* | 2014 |
| Toward a robust estimation of respiratory rate from pulse oximeters MAF Pimentel, AEW Johnson, PH Charlton, D Birrenkott, PJ Watkinson, ... IEEE Transactions on Biomedical Engineering 64 (8), 1914-1923, 2016 | 387 | 2016 |
| Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review PH Charlton, DA Birrenkott, T Bonnici, MAF Pimentel, AEW Johnson, ... IEEE Reviews in Biomedical Engineering 11, 2-20, 2018 | 382 | 2018 |
| An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram PH Charlton, T Bonnici, L Tarassenko, DA Clifton, R Beale, PJ Watkinson Physiological Measurement 37 (4), 610, 2016 | 371 | 2016 |
| Secondary analysis of electronic health records MIT Critical Data Springer Nature, 2016 | 306 | 2016 |
| Photoplethysmographic derivation of respiratory rate: a review of relevant physiology DJ Meredith, D Clifton, P Charlton, J Brooks, CW Pugh, L Tarassenko Journal of Medical Engineering & Technology 36 (1), 1-7, 2012 | 284 | 2012 |
| Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes PH Charlton, J Mariscal Harana, S Vennin, Y Li, P Chowienczyk, ... American Journal of Physiology-Heart and Circulatory Physiology 317 (5 …, 2019 | 252 | 2019 |
| Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants PH Charlton, T Bonnici, L Tarassenko, J Alastruey, DA Clifton, R Beale, ... Physiological Measurement 38 (5), 669, 2017 | 157 | 2017 |
| Assessing mental stress from the photoplethysmogram: a numerical study PH Charlton, P Celka, B Farukh, P Chowienczyk, J Alastruey Physiological Measurement 39 (5), 054001, 2018 | 155 | 2018 |
| Wearable photoplethysmography for cardiovascular monitoring PH Charlton, PA Kyriacou, J Mant, V Marozas, P Chowienczyk, ... Proceedings of the IEEE 110 (3), 355-381, 2022 | 121 | 2022 |
| Photoplethysmography signal processing and synthesis E Mejia-Mejia, J Allen, K Budidha, C El-Hajj, PA Kyriacou, PH Charlton Photoplethysmography: Technology, Signal Analysis and Applications, 2022 | 99 | 2022 |
| A “datathon” model to support cross-disciplinary collaboration J Aboab, LA Celi, P Charlton, M Feng, M Ghassemi, DC Marshall, ... Science Translational Medicine 8 (333), 333ps8-333ps8, 2016 | 84 | 2016 |
| Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: A review from VascAgeNet PH Charlton, B Paliakaitė, K Pilt, M Bachler, S Zanelli, D Kulin, J Allen, ... American Journal of Physiology-Heart and Circulatory Physiology 322 (4 …, 2022 | 83 | 2022 |
| Probabilistic estimation of respiratory rate from wearable sensors MAF Pimentel, PH Charlton, DA Clifton Wearable Electronics Sensors: For Safe and Healthy Living, 241-262, 2015 | 73 | 2015 |
| Influence of mental stress on the pulse wave features of photoplethysmograms P Celka, PH Charlton, B Farukh, P Chowienczyk, J Alastruey Healthcare Technology Letters 7 (1), 7-12, 2020 | 69 | 2020 |
| Vascular ageing: moving from bench towards bedside RE Climie, J Alastruey, CC Mayer, A Schwarz, A Laucyte-Cibulskiene, ... European journal of preventive cardiology 30 (11), 1101-1117, 2023 | 68 | 2023 |
| The 2023 wearable photoplethysmography roadmap PH Charlton, J Allen, R Bailón, S Baker, JA Behar, F Chen, GD Clifford, ... Physiological measurement 44 (11), 111001, 2023 | 66 | 2023 |
| Detecting beats in the photoplethysmogram: benchmarking open-source algorithms PH Charlton, K Kotzen, E Mejía-Mejía, PJ Aston, K Budidha, J Mant, ... Physiological Measurement 43 (8), 085007, 2022 | 61 | 2022 |
| Identifying hemodynamic determinants of pulse pressure: a combined numerical and physiological approach S Vennin, Y Li, M Willemet, H Fok, H Gu, P Charlton, J Alastruey, ... Hypertension 70 (6), 1176-1182, 2017 | 61 | 2017 |
| Health Informatics via Machine Learning for the Clinical Management of Patients DA Clifton, KE Niehaus, P Charlton, GW Colopy Yearbook of Medical Informatics 10 (1), 38, 2015 | 61 | 2015 |
Jordi AlastrueyBiomedical Engineering, King's College LondonПодтвержден адрес электронной почты в домене kcl.ac.uk