Aoki Hirooki, Nakamura Hidetoshi
Chitose Institute of Technology, Chitose 066-8655, Japan.
Department of Respiratory Medicine, Saitama Medical University, Iruma-gun 350-0495, Japan.
Sports (Basel). 2018 Mar 13;6(1):23. doi: 10.3390/sports6010023.
This study aims to assess non-contact respiration measurement during the exercise stress test using an upright bicycle ergometer and to evaluate the ventilation threshold value. We propose the tracking of the chest and abdomen by applying the motion capture function of the Kinect V2 sensor to cope with an increase in physical exercise accompanied by an increase in exercise intensity. In the proposed method, the region enclosed by the four joints corresponding to the left and right shoulders and the right and left hip extracted using the Kinect sensor is set as the region of interest. The region is updated in response to changes in body movements. By extracting the signal of the pedaling frequency component from the time series data of the volume in the region, only the volume change due to respiration was extracted. The point at which the increased rate of the volume change elevates is estimated as the ventilation threshold. The assessment of the efficacy of the proposed method by comparative analysis using an expiration gas analyzer confirmed that non-contact respiration evaluation is possible with an exercise intensity of about 160 W. Furthermore, the ventilation threshold estimated by the proposed method is ±10 W of the estimated value by expiratory gas analyzer.
本研究旨在评估使用直立式自行车测力计进行运动压力测试期间的非接触式呼吸测量,并评估通气阈值。我们建议通过应用Kinect V2传感器的运动捕捉功能来跟踪胸部和腹部,以应对随着运动强度增加而增加的体育锻炼。在所提出的方法中,使用Kinect传感器提取的对应于左右肩部和左右髋部的四个关节所包围的区域被设置为感兴趣区域。该区域会根据身体运动变化进行更新。通过从该区域体积的时间序列数据中提取踏板频率分量的信号,仅提取了由于呼吸引起的体积变化。体积变化增加率升高的点被估计为通气阈值。通过使用呼气气体分析仪进行对比分析对所提出方法的有效性进行评估,证实了在约160 W的运动强度下可以进行非接触式呼吸评估。此外,所提出方法估计的通气阈值与呼气气体分析仪估计值的偏差在±10 W以内。