Bear Laura R, Dogrusoz Y Serinagaoglu, Svehlikova J, Coll-Font J, Good W, van Dam E, Macleod R, Abell E, Walton R, Coronel R, Haissaguerre Michel, Dubois R
IHU-LIRYC, Université de Bordeaux, Bordeaux, France.
Electrical and Electronics Engineering Department, Middle East Technical University, Turkey.
Comput Cardiol (2010). 2018 Sep;45. doi: 10.22489/CinC.2018.070.
The inverse problem of electrocardiography is ill-posed. Errors in the model such as signal noise can impact the accuracy of reconstructed cardiac electrical activity. It is currently not known how sensitive the inverse problem is to signal processing techniques. To evaluate this, experimental data from a Langendorff-perfused pig heart (n=1) suspended in a human-shaped torso-tank was used. Different signal processing methods were applied to torso potentials recorded from 128 electrodes embedded in the tank surface. Processing methods were divided into three categories i) high-frequency noise removal ii) baseline drift removal and iii) signal averaging, culminating in n=72 different signal sets. For each signal set, the inverse problem was solved and reconstructed signals were compared to those directly recorded by the sock around the heart. ECG signal processing methods had a dramatic effect on reconstruction accuracy. In particular, removal of baseline drift significantly impacts the magnitude of reconstructed electrograms, while the presence of high-frequency noise impacts the activation time derived from these signals (p<0.05).
心电图逆问题是不适定的。模型中的误差，如信号噪声，会影响重建心脏电活动的准确性。目前尚不清楚逆问题对信号处理技术有多敏感。为了评估这一点，使用了来自悬浮在人形躯干水箱中的Langendorff灌注猪心脏（n = 1）的实验数据。将不同的信号处理方法应用于从嵌入水箱表面的128个电极记录的躯干电位。处理方法分为三类：i）高频噪声去除；ii）基线漂移去除；iii）信号平均，最终得到n = 72个不同的信号集。对于每个信号集，求解逆问题，并将重建信号与心脏周围袜子直接记录的信号进行比较。心电图信号处理方法对重建精度有显著影响。特别是，基线漂移的去除显著影响重建电图的幅度，而高频噪声的存在影响从这些信号得出的激活时间（p<0.05）。
