Lazaro Jesus, Reljin Natasa, Bailon Raquel, Gil Eduardo, Noh Yeonsik, Laguna Pablo, Chon Ki H
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:596-599. doi: 10.1109/EMBC44109.2020.9175486.
A pilot study on tracking changes in tidal volume (TV) using ECG signals acquired by a wearable armband is presented. The wearable armband provides three ECG channels by using three pairs of dry electrodes, resulting in a device that is convenient for long-term daily monitoring. An additional ECG channel was derived by computing the first principal component of the three original channels (by means of principal component analysis). Armband and spirometer signals were simultaneously recorded from five healthy subjects who were instructed to breathe with varying TV. Three electrocardiogram derived respiration (EDR) methods based on QRS complex morphology were studied: the QRS slopes range (SR), the R-wave angle (Փ), and the R-S amplitude (RS). The peak-to-peak amplitudes of these EDR signals were estimated as surrogates for TV, and their correlations with the reference TV (estimated from the spirometer signal) were computed. In addition, a multiple linear regression model was calculated for each subject, using the peak-to-peak amplitudes from the three EDR methods from the four ECG channels. Obtained correlations between TV and EDR peak-to-peak amplitude ranged from 0.0448 up to 0.8491. For every subject, a moderate correlation (>0.5) was obtained for at least one EDR method. Furthermore, the correlations obtained for the subject-specific multiple linear regression model ranged from 0.8234 up to 0.9154, and the goodness of fit was 0.73±0.07 (median ± standard deviation). These results suggest that the peak-to-peak amplitudes of the EDR methods are linearly related to the TV. opening the possibility of estimating TV directly from an armband ECG device.Clinical Relevance- This opens the door to possible continuous monitoring of TV from the armband by using EDR.
本文介绍了一项初步研究，该研究利用可穿戴臂带采集的心电图信号来追踪潮气量（TV）的变化。该可穿戴臂带通过使用三对干电极提供三个心电图通道，从而形成一种便于长期日常监测的设备。通过计算三个原始通道的第一主成分（借助主成分分析）得出了一个额外的心电图通道。从五名健康受试者身上同时记录了臂带和肺活量计信号，这些受试者被要求以不同的潮气量进行呼吸。研究了基于QRS波群形态的三种心电图衍生呼吸（EDR）方法：QRS斜率范围（SR）、R波角度（Փ）和R - S振幅（RS）。将这些EDR信号的峰峰值幅度估计为潮气量的替代指标，并计算它们与参考潮气量（根据肺活量计信号估计）的相关性。此外，为每个受试者计算了一个多元线性回归模型，使用来自四个心电图通道的三种EDR方法的峰峰值幅度。潮气量与EDR峰峰值幅度之间的相关性范围为0.0448至0.8491。对于每个受试者，至少有一种EDR方法获得了中等相关性（>0.5）。此外，针对特定受试者的多元线性回归模型获得的相关性范围为0.8234至0.9154，拟合优度为0.73±0.07（中位数±标准差）。这些结果表明，EDR方法的峰峰值幅度与潮气量呈线性相关，这为直接从臂带心电图设备估计潮气量开辟了可能性。临床相关性——这为通过使用EDR从臂带对潮气量进行可能的连续监测打开了大门。
