摘要
采集46名健康成年人自主呼吸状态下的同步心电和光电容积脉搏波信号,从心电图中提取心跳间期,从光电容积脉搏波中提取脉搏间期,分别计算心率变异性。脉搏间期的提取采用了二阶差分极大值法、主波波峰法和切线法这三种不同的特征点识别算法。结果显示基于光电容积脉搏波的三种不同特征点识别算法获得的心率变异性结果与使用心电获得的心率变异性结果高度相关。Bland-Altman图显示主波波峰法的计算结果较其它两种方法的结果的相对偏倚值的标准差最小,一致性限外的奇异点最少。
In comparison with the measurement of heart rate variability from ECG and from photoplethysmographic signal from 46 healthy adults in their spontaneous breathing state. The beat-to-beat intervals in ECG and pulse-to-pulse intervals in photoplethysmographic signal are extracted,and then the parameters of heart rate variability are calculated. Three kinds of algorithms are chosen to get the pulse-to-pulse intervals, which are the intervals of maximum of second derivative,the maximum of PPG signal and the tangent intersection. The results show that the correlation coefficients of the HRV parameters in the two calculation methods are highly correlated. The Bland-Altman scattered plots show the relative bias results from the algorithm of the maximum of PPG signal are smal est and singular points that deviate from the consistent limits are the least compared with the other two algorithms.
出处
《中国医疗器械杂志》
CAS
2015年第4期249-252,264,共5页
Chinese Journal of Medical Instrumentation
基金
北京市自然基金资助项目(3122034)
国家科技支撑计划课题(2013BAI03B05)
关键词
自主呼吸
心电图
光电容积脉搏波
心率变异性
spontaneous breathing, ECG, photoplethysmographic signal, heart rate variability