Massaroni Carlo, Nicolò Andrea, Lopes Ana Luiza de Castro, Romano Chiara, Pinnelli Mariangela, Sarro Karine, Schena Emiliano, Cerveri Pietro, Sacchetti Massimo, Silvestri Sergio, Silvatti Amanda Piaia
Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Fondazione Policlinico Campus Bio-Medico di Roma, 00128 Rome, Italy.
Sensors (Basel). 2025 Apr 19;25(8):2578. doi: 10.3390/s25082578.
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.
本研究评估了一个32标记的运动捕捉（MoCap）系统在骑行运动期间估计呼吸频率（fR）和潮气量（VT）的性能。14名训练有素的自行车运动员在自行车测力计上进行了递增式阶梯测试，同时用一台参考代谢车（COSMED）记录原始流量信号，并用12台光电摄像机记录呼吸引起的躯干运动，这些摄像机记录了固定在躯干上的32个标记的位置。fR和VT由两个系统逐 breath 计算得出。在运动期间测量fR和VT时，MoCap系统与COSMED系统显示出很强的相关性（r2分别为0.99和0.87）。对于fR，平均绝对误差（MAE）和平均绝对百分比误差（MAPE）分别为0.79次呼吸/分钟和2.1%。对于VT，与COSMED相比，MoCap始终低估数值，偏差（MOD ± LOA）为 -0.11 ± 0.42 L，MAPE值为8%。这些发现突出了该系统在运动环境中进行实时呼吸监测的能力。
