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Research Outputs

  1. 2019
  2. Mathieu, A, Charlton, PH & Alastruey-Arimon, J 2019, Using smart wearables to monitor cardiac ejection. in Proceedings. ECSA-5 edn, vol. 4, Multidisciplinary Digital Publishing Institute (MDPI), 5th International Conference on Sensors and Applications, 15/11/2018. https://doi.org/10.3390/ecsa-5-05744
  3. Tecelão, D & Charlton, PH 2019, Automated P-wave quality assessment for wearable sensors. in Proceedings. MDPI AG, 5th International Conference on Sensors and Applications, 15/11/2018. https://doi.org/10.3390/ecsa-5-05743
  4. Dijab, H, Alastruey-Arimon, J & Charlton, PH 2019, Measuring vascular recovery rate after exercise. in Proceedings. Multidisciplinary Digital Publishing Institute (MDPI), 5th International Conference on Sensors and Applications, 15/11/2018. https://doi.org/10.3390/ecsa-5-05746
  5. Pontoriero, A, Charlton, PH & Alastruey-Arimon, J 2019, Alzheimer’s disease: a step towards prognosis using smart wearables. in Proceedings. Multidisciplinary Digital Publishing Institute (MDPI), 5th International Conference on Sensors and Applications, 15/11/2018. https://doi.org/10.3390/ecsa-5-05742
  6. Mariscal Harana, J, Charlton, PH, Sherwin, SJ & Alastruey-Arimon, J 2019, An assessment of algorithms to estimate central blood pressure from non-invasive measurements. in Computational & Mathematical Biomedical Engineering 2019 Proceedings. vol. 2, CMBE Proceedings, pp. 603-606.
  7. 2018
  8. Lyle, J, Charlton, PH, Bonet-Luz, E, Chaffey, G, Christie, MI, Nandi, M & Aston, P 2018, Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction. in 2017 Computing in Cardiology Conference (CinC). https://doi.org/10.22489/CinC.2017.091-096
  9. 2017
  10. 2016
  11. Charlton, P, Pimentel, M & Lokhandwala, S 2016, Data Fusion Techniques for Early Warning of Clinical Deterioration. in Secondary Analysis of Electronic Health Record Data. Springer International Publishing, pp. 325-338. https://doi.org/10.1007/978-3-319-43742-2_22
  12. Charlton, P, Villarroel, M & Salguiero, F 2016, Waveform Analysis to Estimate Respiratory Rate. in Secondary Analysis of Electronic Health Record Data. Springer International Publishing, pp. 377. https://doi.org/10.1007/978-3-319-43742-2_26
  13. 2015
  14. Charlton, P, Camporota, L, Smith, J, Nandi, M, Christie, MI, Aston, P & Beale, R 2015, Measurement of cardiovascular state using attractor reconstruction analysis. in Signal Processing Conference (EUSIPCO), 2015 Proceedings of the 23rd European. IEEE.
  15. Pimentel, M, Charlton, P & Clifton, D 2015, Probabilistic Estimation of Respiratory Rate from Wearable Sensors. in S Mukhopadhyay (ed.), Wearable Electronics Sensors. Smart Sensors, Measurement and Instrumentation, vol. 15, Springer International Publishing, pp. 241-262. https://doi.org/10.1007/978-3-319-18191-2_10
  16. 2014
  17. Charlton, P, Smith, J, Camporota, L, Beale, R & Alastruey, J 2014, Optimising the Windkessel Model for Cardiac Output Monitoring During Changes in Vascular Tone. in Engineering in Medicine and Biology Society (EMBC): 2014 36th Annual International Conference of the IEEE. IEEE, pp. 3759-3762. https://doi.org/10.1109/EMBC.2014.6944441
  18. Charlton, P, Bonnici, T, Clifton, D, Tarassenko, L, Watkinson, P & Beale, R 2014, Achieving Clinical Quality from Wireless Sensors. in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. IEEE, 36th Annual International Conference of the IEEE Engineering in Medicine & Biology, Chicago, IL, United States, 26/08/2014.
  19. 2012
  20. Orphanidou, C, Bonnici, T, Vallance, D, Darrell, A, Charlton, P & Tarassenko, L 2012, A method for assessing the reliability of heart rates obtained from ambulatory ECG. in 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE). N/A edn, vol. N/A, IEEE, Piscataway, N.J., pp. 193-196. https://doi.org/10.1109/BIBE.2012.6399672

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