• 17 Citations
  • 3 h-Index
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Personal profile

Nivel SNI


Fingerprint Dive into the research topics where Sebastian Larraza is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Ventilation Engineering & Materials Science
Mathematical models Engineering & Materials Science
Artificial Respiration Medicine & Life Sciences
Muscle Engineering & Materials Science
Metabolism Engineering & Materials Science
Respiratory Muscles Medicine & Life Sciences
Carbon Dioxide Medicine & Life Sciences
Carbon dioxide Engineering & Materials Science

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Research Output 2014 2017

Identification of dynamic hyperinflation using a combination of expiratory flow and respiratory carbon dioxide signals.

Rees, S. E., Larraza, S. & Karbing, D. S., 5 Jan 2017, IPC No. A61B5/083, Patent No. WO2017/000961A1

Research output: Patent

Carbon dioxide
Patents and inventions
2 Citations (Scopus)

Typical patterns of expiratory flow and carbon dioxide in mechanically ventilated patients with spontaneous breathing

Rees, S. E., Larraza, S., Dey, N., Spadaro, S., Brohus, J. B., Winding, R. W., Volta, C. A. & Karbing, D. S., 1 Aug 2017, In : Journal of Clinical Monitoring and Computing. 31, 4, p. 773-781 9 p.

Research output: Contribution to journalArticle

Carbon Dioxide
Intrinsic Positive-Pressure Respiration
Respiratory Muscles

Simulation of patient-ventilator interaction with harmonic analysis

Campos, M. E. & Larraza, S., 2016.

Research output: Contribution to conferencePoster

harmonic analysis
respiratory system
5 Citations (Scopus)

A mathematical model approach quantifying patients' response to changes in mechanical ventilation: Evaluation in volume support

Larraza, S., Dey, N., Karbing, D. S., Jensen, J. B., Nygaard, M., Winding, R. & Rees, S. E., 1 Apr 2015, In : Medical Engineering and Physics. 37, 4, p. 341-349 9 p.

Research output: Contribution to journalArticle

Artificial Respiration
Theoretical Models
Respiratory Muscles
Mathematical models
1 Citation (Scopus)

Model-based decision support for pressure support mechanical ventilation - Implementation of physiological and clinical preference models

Karbing, D. S., Larraza, S., Dey, N., Jensen, J. B., Winding, R. & Rees, S. E., 1 Sep 2015, In : IFAC-PapersOnLine. 28, 20, p. 279-284 6 p.

Research output: Contribution to journalConference article

Physiological models
Cerebrospinal fluid
Decision support systems