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机构地区:[1]中国人民解放军总医院医学工程与维修中心,北京100853
出 处:《北京生物医学工程》2017年第5期502-506,共5页Beijing Biomedical Engineering
基 金:国家自然科学基金(61372047);国家科技支撑计划(2013BAI03B04)资助
摘 要:目的利用光电容积脉搏波法分析心率变异性,为通过心率变异性(heart rate variability,HRV)参数表征自主神经系统的变化提供新的研究方法。方法对46个健康成年受试者分别同步采集自主呼吸状态下的心电信号和光电容积脉搏波信号,利用二阶差分极大值提取心电图的RR间期,搜索脉搏波极大值提取脉搏波主波波峰间期PP,然后计算通用HRV参数SDNN、RMSSD和LF/HF,并利用回归的统计学方法结合Bland-Altman随机分析法对这两种方法获取的HRV结果进行比较。结果两种方法计算得到的心率变异性参数结果的Pearson相关系数分别为0.998、0.995和0.992,均显著相关(P<0.01),Bland-Altman分布图也均在一致性区间内,说明这两种方法在计算心率变异性上具有一致性。结论利用光电容积脉搏波法分析心率变异具有可行性。Objective To study the measurement of heart rate variability by using electrocardiogram(ECG) and photoplethysmography(PPG). Methods We analyzed heart rate variability(HRV) taken by ECG and photoplethysmography. After acquiring the synchronized ECG as well as the photoplethysmography on 46 healthy adults in their natural breathing state and extracting the RR intervals of ECG and PP intervals of PPG respectively,the time domain and frequency domain parameters of HRV were calculated. Results The correlation coefficients of the three short-time parameters in the two calculation methods were greater than 0. 99 significantly,and the Bland-Altman scattered plot of the parameters were in the consistent band. The two methods had coherence in the calculation of heart rate variability. Conclusions It is feasible to analyze the heart rate variation with the pulse wave method.
分 类 号:R318.04[医药卫生—生物医学工程]
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