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.

Breath-by-Breath Measurement of Respiratory Frequency and Tidal Volume with a Multiple-Camera Motion Capture System During Cycling Incremental Exercise

Massaroni, Carlo
;
Romano, Chiara;Schena, Emiliano;Silvestri, Sergio;
2025-01-01

Abstract

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.
2025
breathing biomechanics; breathing monitoring; incremental exercise; measurements; motion capture systems; validity
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/88063
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