Non-invasive estimation of respiratory depression profiles during robot-assisted laparoscopic surgery using a model-based approach

Lars Pilegaard Thomsen*, Asta Aliuskeviciene, Kasper Sørensen, Astrid Clausen Nørgaard, Peter Lyngø Sørensen, Esben Bolvig Mark, Signe Juul Riddersholm, Per Thorgaard

*Corresponding author

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
Original languageEnglish
Title of host publicationCMBEBIH 2017 : Proceedings of the International Conference on Medical and Biological Engineering 2017
EditorsAlmir Badnjevic
PublisherSpringer
Publication date2017
Pages223-231
ISBN (Print)978-981-10-4165-5
ISBN (Electronic)978-981-10-4166-2
DOIs
Publication statusPublished - 2017
EventInternational Conference on Medical and Biological Engineering, CMBEBIH 2017 - Sarajevo, Bosnia and Herzegovina
Duration: 16 Mar 201718 Mar 2017

Conference

ConferenceInternational Conference on Medical and Biological Engineering, CMBEBIH 2017
CountryBosnia and Herzegovina
CitySarajevo
Period16/03/201718/03/2017
SeriesIFMBE Proceedings
Number62
ISSN1680-0737

    Fingerprint

Keywords

  • Mathematical models
  • Minimal invasive surgery
  • Pulmonary gas exchange
  • Robot-assisted laparoscopic surgery
  • Ventilator management

Cite this

Thomsen, L. P., Aliuskeviciene, A., Sørensen, K., Nørgaard, A. C., Sørensen, P. L., Mark, E. B., Riddersholm, S. J., & Thorgaard, P. (2017). Non-invasive estimation of respiratory depression profiles during robot-assisted laparoscopic surgery using a model-based approach. In A. Badnjevic (Ed.), CMBEBIH 2017: Proceedings of the International Conference on Medical and Biological Engineering 2017 (pp. 223-231). Springer. IFMBE Proceedings, No. 62 https://doi.org/10.1007/978-981-10-4166-2_34