dr. E. Mos - Oppersma (Eline) | University of Twente

Studying Technical Medicine at the University of Twente, I already focused on respiratory physiology with a graduation project on the pulmonary function department of the Medisch Spectrum Twente in Enschede.
From 2011 I started to work at the University of Twente as lecturer in the Technical Medicine program, and as a PhD student. My PhD project focused on monitoring and regulation of supported breathing in Intensive Care, in collaboration with the Intensive Care of the Radboud hospital in Nijmegen.
After obtaining my PhD in 2018, I went to the United States for a postdoc at the Massachusetts General Hospital in Boston, where I worked on an algorithm for automatic detection of self-similarity and prediction of residual central events during continuous positive airway pressure.

From 2019, I was appointed as an assistant professor in the Cardiovascular and Respiratory Physiology group. My research focuses on regulation of breathing and noninvasive methods to assess lung mechanics and activity of respiratory muscles. An important tool is electromyography (EMG) of the respiratory muscles, including the diaphragm. Although noninvasive measurement of respiratory EMG, with surface electrodes attached on the skin, challenges data analysis due to movement artefacts and interference of activity from other muscles, it has the potential to be of high clinical value in daily monitoring of patients on the intensive care or during home mechanical ventilation. Other tools include pressure and flow monitoring and interventions in patients receiving mechanical ventilation. In all monitoring tools, I aim to study adequate acquisition, advanced analysis and clinical adaptation and interpretation of the data. All is focused at gaining more insight in the respiratory pump physiology, leading to better adaptation and weaning of patients from mechanical ventilation.

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)

van der Zande, J., Strik, M., Dubois, R., Ploux, S., Abu Alrub, S., 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), [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 ARDS: 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.

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. [000429]. https://doi.org/10.1186/s40635-021-00413-8

Oppersma, E., Ganglberger, W., Sun, H., Thomas, R. J., & Westover, M. B. (2021). Algorithm for automatic detection of self-similarity and prediction of residual central respiratory events during continuous positive airway pressure. Sleep, 44(4), [zsaa215]. https://doi.org/10.1093/sleep/zsaa215

Jonkman, A. H., Frenzel, T., McCaughey, E. J., McLachlan, A. J., Boswell-Ruys, C. L., Collins, D. W., Gandevia, S. C., Girbes, A. R. J., Hoiting, O., Kox, M., Peters, M. , Oppersma, E., Pickkers, P., Roesthuis, L. H., Schouten, J., Shi, Z. H. , Veltink, P. H., de Vries, H. J., Shannon Weickert, C., ... Heunks, L. M. A. (2020). Breath-synchronized electrical stimulation of the expiratory muscles in mechanically ventilated patients: a randomized controlled feasibility study and pooled analysis. Critical care, 24(1), [628]. https://doi.org/10.1186/s13054-020-03352-0

de Jongh, F. H. C., de Vries, H. J. , Warnaar, R. S. P. , Oppersma, E. , Verdaasdonk, R., Heunks, L. M. A., & Doorduin, J. (2020). Ventilating two patients with one ventilator: technical setup and laboratory testing. ERJ Open Research, 6(2), [00256-2020]. https://doi.org/10.1183/23120541.00256-2020

Oppersma, E., Doorduin, J., Roesthuis, L. H., van der Hoeven, J. G. , Veltink, P. H., & Heunks, L. M. A. (2020). Patient-Ventilator Interaction During Noninvasive Ventilation in Subjects With Exacerbation of COPD: Effect of Support Level and Ventilator Mode. Respiratory care, 65(9), 1315-1322. [07159]. https://doi.org/10.4187/respcare.07159

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