Siecinski Szymon, Kostka Pawel S, Tkacz Ewaryst J
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2630-2633. doi: 10.1109/EMBC44109.2020.9176052.
Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and ECG signals. The study on time domain and and frequency domain heart rate variability analysis was conducted on electrocardiograms and gyrocardiograms registered on 29 healthy male volunteers. ECG signals were used as a reference and the HRV analysis was performed using PhysioNet Cardiovascular Signal Toolbox. The results of HRV analysis show great similarity and strong linear correlation of HRV indices calculated from ECG and GCG indicate the feasibility and reliability of HRV analysis based on gyrocardiograms.
心率变异性（HRV）是评估心血管自主神经功能状态的一种有价值的非侵入性工具。对无电极心率监测的兴趣导致了诸如陀螺心动图（GCG）等替代心跳监测方法的兴起。本研究的目的是比较根据GCG和心电图信号计算出的HRV指标。对29名健康男性志愿者记录的心电图和陀螺心动图进行了时域和频域心率变异性分析研究。将心电图信号用作参考，并使用PhysioNet心血管信号工具箱进行HRV分析。HRV分析结果显示，根据心电图和GCG计算出的HRV指标具有高度相似性和强线性相关性，这表明基于陀螺心动图的HRV分析具有可行性和可靠性。
