在循环期间从气管声音中估计厌氧值和峰值氧气吸收,以测量人体体力表心肺运动测试
Qi Zhang1,2, Nasim Montazeri Ghahjaverestan1,3, Cristina de Oliveira Francisco1
1KITE- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.
使用可穿戴传感器进行气管呼吸声分析,可以准确估计通风无氧值 (AT),提供一种评估运动能力的非侵入性方法. 这种方法有望在传统的心肺运动测试之外得到更广泛的应用.
科学领域:
- 运动生理学 运动生理学
- 生物医学工程 生物医学工程
- 呼吸系统医学 呼吸系统医学
背景情况:
- 心肺运动测试 (CPET) 是通过呼吸无氧门 (AT) 和氧气吸收峰值 (VO2峰值) 来评估运动能力的标准.
- CPET需要专门的设备,资源,时间和训练有素的人员,这限制了其可访问性.
- 可穿戴传感器技术为更容易获得的生理监测提供了潜力.
研究的目的:
- 通过可穿戴传感器记录的气管呼吸声来研究估计呼吸器AT和亚最大VO2峰值的可行性.
- 为了比较来自气管声音的估计与传统的CPET测量.
主要方法:
- 24名健康成年人接受了CPET,同时使用可穿戴传感器 (The Patch) 进行气管声音记录.
- 从气管声音中提取声学特征 (声音能量,强度,呼吸率,通风).
- 从声学特征断点确定了通风AT,并使用随机森林回归模型估计了VO2峰值.
主要成果:
- 可穿戴传感器准确地检测到84% (声音能量) 和96% (声音强度) 的参与者的通风AT.
- 与CPET的工作负载阶段一致性很高 (88%和100%),在62%和92%的案例中,AT时间在20岁以内.
- 特定对象模型以最小偏差估计了VO2峰值,而独立对象模型显示了更大的变化,表明需要进一步验证.
结论:
- 使用可穿戴传感器进行气管声分析是一种可行的,有前途的非侵入性方法,用于估计通风器AT.
- 这种方法为传统的CPET提供了一种潜在的替代方法,用于评估运动能力.
- 为了准确估计VO2峰值,需要进一步验证,特别是在最大努力协议期间.
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