dr. E. Mos - Oppersma (Eline) | Universiteit Twente

Medicine & Life Sciences

# Central Sleep Apnea
# Chronic Obstructive Pulmonary Disease
# Continuous Positive Airway Pressure
# Diaphragm
# Interactive Ventilatory Support
# Mechanical Ventilators
# Noninvasive Ventilation
# Ventilation

Faculty of Science and Technology (TNW), Cardiovascular and Respiratory Physiology (CRPH)

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 5251. 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. Advance online publication. 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. Advance online publication. 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. Advance online publication. 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. Advance online publication. 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.

Warnaar, R. , Oppersma, E., Cornet, A. , & Donker, D. (2021). In silico testing of a non‑invasive, individualised PEEP titration method for optimal lung compliance during pressure support ventilation. Intensive Care Medicine Experimental, 9(Supplement 1), 120-121. Article 000429. https://doi.org/10.1186/s40635-021-00413-8

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