首页> 外文会议>2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability >Analysis of Dynamic Cardiopulmonary Signals and Heart Rate Variability for Distinct Cardiopulmonary Fitness Norms under Graded Exercise and Recovery Periods
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Analysis of Dynamic Cardiopulmonary Signals and Heart Rate Variability for Distinct Cardiopulmonary Fitness Norms under Graded Exercise and Recovery Periods

机译:分级运动和恢复期下不同心肺健康指标的动态心肺信号和心率变异性分析

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This study performed a comparison based on electrocardiogram (ECG) signals for participants with distinct levels of cardiopulmonary fitness at graded exercise intensities. The participants were university freshmen with cardiopulmonary fitness norms in the bottom 20%, middle, and top groups. Cardiopulmonary signals were acquired under the rest condition, at three graded exercise levels, and in subsequent recovery periods. Time domain and spectral analyses were performed to study the principal components of heart rate variability (HRV) from recorded ECG signals. The results showed that the frequency domain measures TP, HF, nLF, nHF, and LF/HF of the HRV indices all exhibit significant differences between the three groups.
机译:这项研究基于心电图(ECG)信号对分级运动强度下具有不同水平心肺适应性的参与者进行了比较。参加者是大学新生,其后20%,中层和顶部人群的心肺功能正常。在休息条件下,三个分级的运动水平以及随后的恢复期中采集心肺信号。进行了时域和频谱分析,以从记录的ECG信号中研究心率变异性(HRV)的主要成分。结果表明,HRV指数的频域测量值TP,HF,nLF,nHF和LF / HF在三组之间均表现出显着差异。

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