Di Rienzo M, Castiglioni P, Mancia G, Parati G, Pedotti A
IEEE Trans Biomed Eng. 1989 Nov;36(11):1066-75. doi: 10.1109/10.40813.
A procedure for the 24 h tracking of the 0.25, 0.1, and 0.05 Hz oscillations in blood pressure (BP) and pulse interval (PI) in ambulant subjects has been developed. It includes: 1) sampling of a 24 h intra-arterial BP recording, extraction of the systolic (S) and diastolic (D) BP and PI from each heart beat followed by storage into separate series; 2) high-pass filtering and a splitting of each series into consecutive records of 256 values; 3) estimation of power spectral density (PSD) via FFT in each stationary record, and finally, computation of the power of each target oscillation. Using this procedure we analyzed data from ten hospitalized free-moving subjects in whom BP was recorded by the Oxford technique. The results revealed different patterns of the 0.25, 0.1, and 0.05 oscillations over the day-night cycle, showing a differentiated involvement during the 24 h of the mechanisms responsible for such rhythmic phenomena. Moreover, in order to reinforce the meaning of the obtained results and to exclude the possible negative effects due to the drawbacks typical of the FFT algorithm, we also performed a second spectral estimate based on the AR modeling. The obtained results validates the FFT approach.
已开发出一种用于对活动受试者血压(BP)和脉搏间期(PI)的0.25、0.1和0.05Hz振荡进行24小时跟踪的程序。该程序包括:1)对24小时动脉内血压记录进行采样,从每个心跳中提取收缩压(S)、舒张压(D)和PI,然后存储到单独的序列中;2)高通滤波,并将每个序列拆分为256个值的连续记录;3)通过快速傅里叶变换(FFT)估计每个平稳记录中的功率谱密度(PSD),最后计算每个目标振荡的功率。使用该程序,我们分析了10名住院自由活动受试者的数据,这些受试者的血压采用牛津技术记录。结果揭示了0.25、0.1和0.05Hz振荡在昼夜周期中的不同模式,表明在24小时内负责此类节律现象的机制参与情况有所不同。此外,为了强化所得结果的意义,并排除由于FFT算法典型缺点可能产生的负面影响,我们还基于自回归(AR)建模进行了第二次频谱估计。所得结果验证了FFT方法。