Breath-by-Breath Measurement of Respiratory Frequency and Tidal Volume with a Multiple-Camera Motion Capture System During Cycling Incremental Exercise
This study evaluates the performance of a 32-marker motion capture (MoCap) system in estimating respiratory frequency (fR) and tidal volume (VT) during cycling exercise. Fourteen well-trained cyclists performed an incremental step test on a cycle ergometer, while simultaneously recording a raw flow signal with a reference metabolic cart (COSMED) and respiratory-induced torso movements with twelve optoelectronic cameras registering the position of 32 markers affixed to the torso. fR and VT were calculated from both systems on a breath-by-breath basis. The MoCap system showed a strong correlation with the COSMED system when measuring fR and VT (r2 = 0.99, r2 = 0.87, respectively) during exercise. For fR, the mean absolute error (MAE) and mean absolute percentage error (MAPE) were 0.79 breaths/min and 2.1%, respectively. For VT, MoCap consistently underestimated values compared to COSMED, showing a bias (MOD ± LOA) of -0.11 ± 0.42 L and MAPE values of 8%. These findings highlight the system's capabilities for real-time respiratory monitoring in athletic environments.
Authors
- Chiara Romano (ORCID: https://orcid.org/0000-0003-3525-0213)
- Ana Luiza de Castro Lopes (ORCID: https://orcid.org/0000-0002-4471-043X)
- Emiliano Schena (ORCID: https://orcid.org/0000-0002-9696-1265)
- Massimo Sacchetti (ORCID: https://orcid.org/0000-0002-5365-5161)
- Sergio Silvestri (ORCID: https://orcid.org/0000-0002-5863-8336)
- Amanda Piaia Silvatti (ORCID: https://orcid.org/0000-0001-8781-8558)
- Carlo Massaroni (ORCID: https://orcid.org/0000-0002-3090-5623)
- Karine Jacon Sarro (ORCID: https://orcid.org/0000-0002-9449-0228)
- Andrea Nicolò (ORCID: https://orcid.org/0000-0002-4716-1667)
- Mariangela Pinnelli
- Pietro Cerveri (ORCID: https://orcid.org/0000-0003-3995-8673)
Institutions
- Universidade Federal de Viçosa (BR)
- Università Campus Bio-Medico (IT)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Foro Italico University of Rome (IT)
- University of Pavia (IT)
- Campus Bio Medico University Hospital (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Sensors
- Published
- 2025-04-19
- DOI
- https://doi.org/10.3390/s25082578
- Citations
- 3
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 2.02