Respiratory failure & ventilation
Continuous non-invasive measurement of tidal volume and minute ventilation using a smart nasal cannula
Authors' conclusion
These results support FRNDS as a promising, adaptable solution for individualized respiratory monitoring in both clinical and home environments.
Study context
- Population
- Adults, across a range of oxygen flow rates
- Participants
- 57 adults
- Comparison
- Flow Regulated Nasal Delivery System (FRNDS) smart nasal cannula vs respiratory inductance plethysmography
- Outcome
- Agreement of FRNDS-derived VT with RIP after machine learning correction
Methodological detailsmachine learning regression models
- Machine learning regression models
Main finding
As reported in the abstract
Average error
53.5 mL
Root-mean error
78.2 mL
Further findings
Classification of breathing patterns (apneic spells, mouth breathing)
- Robust performance in classifying clinically relevant breathing patterns
Original publication
Continuous non-invasive measurement of tidal volume and minute ventilation using a smart nasal cannula. Crit Care. Published 27 November 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →