IEEE Trans Biomed Eng. 2020 Jan;67(1):193-202. doi: 10.1109/TBME.2019.2911351. Epub 2019 Apr 15.
Electrocardiogram (ECG) has been regarded as a source of respiratory information with the main focus in the estimation of the respiratory rate. Although little research concerning the estimation of tidal volume (TV) has been conducted, there are several ECG-derived features that have been related with TV in the literature, such as ECG-derived respiration, heart rate variability, and respiratory rate. In this paper, we exploited these features for estimating TV using a linear model.
25 young (33.4 ± 5.2 years) healthy male volunteers were recruited for performing a maximal (MaxT) and a submaximal (SubT) treadmill stress test, which were conducted on different days. Both tests were automatically segmented in stages attending to the heart rate. Afterwards, a subject-specific TV model was calibrated for each stage, employing features from MaxT, and the model was later used for estimating the TV in SubT.
During exercise, the different proposed approaches led to relative fitting errors lower than 14% in most of the cases and 6% in some of them.
Low achieved fitting errors suggest that TV can be estimated from ECG during a treadmill stress test.
The results suggest that it is possible to estimate TV during exercise using only ECG-derived features.
心电图（ECG）一直被视为呼吸信息的来源，主要关注呼吸频率的估计。虽然关于潮气量（TV）的估计的研究很少，但文献中已经有一些与 TV 相关的 ECG 衍生特征，例如 ECG 衍生的呼吸、心率变异性和呼吸频率。在本文中，我们使用线性模型利用这些特征来估计 TV。
招募了 25 名年轻（33.4 ± 5.2 岁）健康男性志愿者进行最大（MaxT）和次最大（SubT）跑步机压力测试，这些测试在不同的日子进行。根据心率自动分段测试，然后为每个阶段校准针对个体的 TV 模型，使用 MaxT 的特征，并在 SubT 中使用该模型来估计 TV。
在运动过程中，大多数情况下，不同的方法得出的拟合误差低于 14%，在某些情况下，拟合误差低于 6%。
低拟合误差表明，在跑步机压力测试期间可以从 ECG 估计 TV。
研究结果表明，仅使用 ECG 衍生特征即可在运动过程中估计 TV。
