呼吸频率和潮体积的呼吸量测量,使用多摄像头运动捕捉系统在骑自行车时进行增量运动
Carlo Massaroni1,2, Andrea Nicolò3, Ana Luiza de Castro Lopes4
1Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Sensors (Basel, Switzerland)
|April 26, 2025
概括
一个新的32标记器运动捕获 (MoCap) 系统准确地估计了骑自行车时的呼吸频率 (fR) 和潮体积 (VT). 这项技术为运动员提供可靠的实时呼吸监测.
科学领域:
- 运动科学 运动科学 运动科学
- 生物医学工程 生物医学工程
- 运动生理学 运动生理学
背景情况:
- 精确的呼吸监测对于理解运动生理学至关重要.
- 在动态的运动环境中,传统的方法可能会很麻烦.
- 运动捕捉技术提供了一个潜在的非侵入性的替代方案.
研究的目的:
- 评估32标记器运动捕捉 (MoCap) 系统的性能,以估计呼吸频率 (fR) 和潮体积 (VT).
- 在骑自行车运动期间,将MoCap衍生的呼吸系统参数与参考代谢车 (COSMED) 进行比较.
主要方法:
- 14名骑自行车的人在自行车人体计上进行了增量步骤测试.
- 同时采集呼吸系统数据,使用32标记 MoCap 系统和COSMED代谢车.
- 从这两种系统计算出每次呼吸的fR和VT.
主要成果:
- 莫卡普系统与COSMED系统在FR (r2 = 0.99) 和VT (r2 = 0.87) 两方面都显示出强烈的相关性.
- fR估计显示出较低的误差 (MAE:0.79次呼吸/分钟,MAPE:2.1%).
- 在MoCap中,VT一直被低估 (偏差: -0.11 ± 0.42 L,MAPE: 8%).
结论:
- 32标记的MoCap系统是估计自行车运动期间fR和VT的有效工具.
- 该系统显示了在运动环境中实时呼吸监测的巨大潜力.
- 进一步细化可能会提高VT估计的准确性.
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