作者
Lukas Smital, Clifton R Haider, Martin Vitek, Pavel Leinveber, Pavel Jurak, Andrea Nemcova, Radovan Smisek, Lucie Marsanova, Ivo Provaznik, Christopher L Felton, Barry K Gilbert, David R Holmes III
发表日期
2020/1/28
期刊
IEEE Transactions on Biomedical Engineering
卷号
67
期号
10
页码范围
2721-2734
出版商
IEEE
简介
Objective
Nowadays, methods for ECG quality assessment are mostly designed to binary distinguish between good/bad quality of the whole signal. Such classification is not suitable to long-term data collected by wearable devices. In this paper, a novel approach to estimate long-term ECG signal quality is proposed.
Methods
The real-time quality estimation is performed in a local time window by calculation of continuous signal-to-noise ratio (SNR) curve. The layout of the data quality segments is determined by analysis of SNR waveform. It is distinguished between three levels of ECG signal quality: signal suitable for full wave ECG analysis, signal suitable only for QRS detection, and signal unsuitable for further processing.
Results
The SNR limits for reliable QRS detection and full ECG waveform analysis are 5 and 18 dB respectively. The method was developed and tested using synthetic data and validated on real …
学术搜索中的文章
L Smital, CR Haider, M Vitek, P Leinveber, P Jurak… - IEEE Transactions on Biomedical Engineering, 2020