Gil Eduardo, Vergara José María, Bianchi Anna M, Laguna Pablo
Communications Technology Group, Aragón Institute of Engineering Research (I3A), University of Zaragoza, María de Luna 1, 50018 Zaragoza, Spain.
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6090-3. doi: 10.1109/IEMBS.2007.4353738.
Heart rate variability (HRV) during Decreases in the Amplitude fluctuations of Pulse Photopletysmography signal events (DAP) is studied. The DAP duration and the time span of the polysomnography (PSG) recording under study are also considered for identification of Obstructive Sleep Apnea events in children. Oxygen desaturation is used as reference. The study involves recordings of 21 children. Periods of time associated with a drop in SaO2 of 3% from baseline during at least 5% of the time were labeled as pathologic. DAP events were detected using an automatic detector, HRV signal processing using the Smooth Pseudo Wigner-Ville Distribution was carried out in order to obtain several time and frequency HRV indexes. T-test was used to analyze differences between groups. The results show discrimination power between groups that increases as the duration of the time period under analysis, becomes shorter, and so more tune to the apneic episodes. Also HRV increase the discrimination power helping in discriminating DAP event non related to apnea.
研究了脉搏光电容积脉搏波信号事件（DAP）幅度波动降低期间的心率变异性（HRV）。还考虑了DAP持续时间和所研究的多导睡眠图（PSG）记录的时间跨度，以识别儿童阻塞性睡眠呼吸暂停事件。氧饱和度下降用作参考。该研究涉及21名儿童的记录。在至少5%的时间内，与基线相比SaO2下降3%的时间段被标记为病理性的。使用自动检测器检测DAP事件，采用平滑伪维格纳-威利分布进行HRV信号处理，以获得多个时间和频率HRV指标。使用t检验分析组间差异。结果表明，随着分析时间段的持续时间变短，组间的辨别能力增强，因此更适合呼吸暂停发作。此外，HRV提高了辨别能力，有助于区分与呼吸暂停无关的DAP事件。
