Off-line Heart Rate Error Measurement of Underwater Samples

Underwater sampling of heart rate for sports training has growing attention recently because of the availability of new sensors able to gather data while the user is swimming. Namely, optical sensor for the wrist and strap sensor for the chest. Underwater data transmission is not an option, forcing the analysis to be done off-line. Thus, movement and distance from heart could infuence the gap between data from sensors. This work describe the procedure to calculate: Pearson’s product-moment correlation coeff cient, Lin’s concordance correlation coeff cient, Root-Mean-Square Error, and Dynamic Time Wrapping’s normalized distance over both signals. Mean values for: Pearson’s coeff cient is 0.71, Lin’s coeff cient is 0.66 with bias of 0.92, RMSE is 11.6 bmp, and normalized distance is 1.69. However, results from measurements are scattered, making it diff cult to trust results from the wrist sensor.

近年来，鉴于新型传感器能够于游泳过程中收集数据，水下心率采样在体育训练领域的关注度日益提升。具体而言，腕部光学传感器与胸部带式传感器得以应用。由于水下数据传输并非可行之选，迫使分析过程不得不离线进行。因此，运动状态与心率之间的距离可能对传感器数据间的差异产生影响。本研究旨在描述计算过程，包括皮尔逊积矩相关系数、林氏一致性相关系数、均方根误差以及动态时间规整的标准化距离等指标在双信号中的应用。所得到的平均值分别为：皮尔逊系数为0.71，林氏系数为0.66，偏差为0.92，均方根误差为11.6bmp，标准化距离为1.69。然而，测量结果呈现出分散性，使得对腕部传感器数据结果的可靠性产生质疑。