Estrada-Petrocelli Luis, Jane Raimon, Torres Abel
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2748-2751. doi: 10.1109/EMBC44109.2020.9176377.
Neural respiratory drive as measured by the electromyography allows the study of the imbalance between the load on respiratory muscles and its capacity. Surface respiratory electromyography (sEMG) is a non-invasive tool used for indirectly assessment of NRD. It also provides a way to evaluate the level and pattern of respiratory muscle activation. The prevalence of electrocardiographic activity (ECG) in respiratory sEMG signals hinders its proper evaluation. Moreover, the occurrence of abnormal heartbeats or cardiac arrhythmias in respiratory sEMG measures can make even more challenging the NRD estimation. Respiratory sEMG can be evaluated using the fixed sample entropy (fSampEn), a technique which is less affected by cardiac artefacts. The aim of this work was to investigate the performance of the fSampEn, the root mean square (RMS) and the average rectified value (ARV) on respiratory sEMG signals with supraventricular arrhythmias (SVA) for NRD estimation. fSampEn, ARV and RMS parameters increased as the inspiratory load increased during the test. fSampEn was less influenced by ECG with SVAs for the NRD estimation showing a greater response to respiratory sEMG, reflected with a higher percentage increase with increasing load (228 % total increase, compared to 142 % and 135 % for ARV and RMS, respectively).
通过肌电图测量的神经呼吸驱动可用于研究呼吸肌负荷与其能力之间的失衡。表面呼吸肌电图（sEMG）是一种用于间接评估神经呼吸驱动的非侵入性工具。它还提供了一种评估呼吸肌激活水平和模式的方法。呼吸sEMG信号中心电图活动（ECG）的存在阻碍了对其的正确评估。此外，呼吸sEMG测量中出现异常心跳或心律失常会使神经呼吸驱动的估计更具挑战性。呼吸sEMG可以使用固定样本熵（fSampEn）进行评估，该技术受心脏伪影的影响较小。这项工作的目的是研究固定样本熵、均方根（RMS）和平均整流值（ARV）在伴有室上性心律失常（SVA）的呼吸sEMG信号上用于神经呼吸驱动估计的性能。在测试过程中，随着吸气负荷的增加，固定样本熵、平均整流值和均方根参数均增加。对于神经呼吸驱动估计，固定样本熵受伴有室上性心律失常的心电图影响较小，对呼吸sEMG表现出更大的反应，随着负荷增加，其百分比增加更高（总增加228%，而平均整流值和均方根分别为142%和135%）。
