dr. E. Mos - Oppersma (Eline)

Jonkman, A. H. , Warnaar, R., Baccinelli, W., Carbon, N. M., D'Cruz, R. F., Doorduin, J., van Doorn, J. L. M., Elshof, J., Estrada-Petrocelli, L., Grasshoff, J., Heunks, L. M. A., Koopman, A. A., Langer, D., Moore, C. M., Nunez Silveira, J. M., Petersen, E., Poddighe, D., Ramsay, M., Rodrigues, A. , ... Oppersma, E. (2024). Analysis and applications of respiratory surface EMG: report of a round table meeting. Critical care, 28(2). Advance online publication. https://doi.org/10.1186/s13054-023-04779-x

Moore, C. M., Baccinelli, W., Sivokon, O. , Warnaar, R. S. P. , & Oppersma, E. (2023). ReSurfEMG: A Python library for preprocessing and analysis of respiratory EMG. Journal of open source software, 8(90), Article 05251. https://doi.org/10.21105/joss.05251

Koopman, A. A., van Dijk, J. , Oppersma, E., Blokpoel, R. G. T., & Kneyber, M. C. J. (2023). Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children. Respiratory research, 24, Article 77. https://doi.org/10.1186/s12931-023-02374-w

Warnaar, R. S. P. , Mulder, M. P. , Fresiello, L., Cornet, A. D., Heunks, L. M. A. , Donker, D. W. , & Oppersma, E. (2023). Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness. Critical care, 27(1), Article 268. https://doi.org/10.1186/s13054-023-04549-9

Warnaar, R. , Mulder, M. P. , Fresiello, L., Cornet, A. D., Heunks, L. M. A. , Donker, D. W. , & Oppersma, E. (2023). Clinical readiness of virtual patient models for individualised mechanical ventilation: a systematic literature review. Poster session presented at ESICM LIVES Forum Conference 2023, Utrecht, Netherlands.

van der Zande, J., Strik, M., Dubois, R., Ploux, S., Alrub, S. A., Caillol, T., Nasarre, M. , Donker, D. W. , Oppersma, E., & Bordachar, P. (2023). Using a Smartwatch to Record Precordial Electrocardiograms: A Validation Study. Sensors (Basel, Switzerland), 23(5), Article 2555. https://doi.org/10.3390/s23052555

Warnaar, R. , Oppersma, E., Cornet, A. D. , & Donker, D. W. (2022). Clinical testing of a non-invasive method for lung compliance estimation during pressure support ventilation. In Digital twins for personalized treatment development and clinical trials (pp. 81) https://vph-conference.org/wp-content/uploads/sites/11/2022/09/VPH2022_Abstract_book_2.pdf

Oppersma, E., Geraats, S., Heikens, N. H., Welleweerd, A., Woerts, C. A. , Fresiello, L., Meuwese, C. L. , & Donker, D. W. (2022). Finite Element Modeling of Pulmonary Mechanics in Severe Acute Respiratory Distress Syndrome: Explaining the Inclination Angle? American journal of respiratory and critical care medicine, 206(6), 798-799. https://doi.org/10.1164/rccm.202205-0931LE

Oppersma, E., Ganglberger, W., Sun, H., Thomas, R., & Westover, M. (2021). 475 Automatic detection of self-similarity and prediction of CPAP failure. Sleep, 44(S2), A187-A187. https://doi.org/10.1093/sleep/zsab072.474

Oppersma, E., Ganglberger, W., Sun, H., Thomas, R. J., & Westover, M. B. (2021). Automatic detection of self-similarity and prediction of CPAP failure. Poster session presented at 35th Annual Meeting of the Associated Professional Sleep Societies, SLEEP 2021.