Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
J Electromyogr Kinesiol. 2019 Oct;48:176-186. doi: 10.1016/j.jelekin.2019.07.014. Epub 2019 Aug 1.
Transcutaneous electromyography (tc-EMG) has been used to measure the electrical activity of respiratory muscles during inspiration in various studies. Processing the raw tc-EMG signal of these inspiratory muscles has shown to be difficult as baseline noise, cardiac interference, cross-talk and motion artefacts can influence the signal quality. In this review we will discuss the most important sources of signal noise in tc-EMG of respiratory muscles and the various techniques described to suppress or reduce this signal noise. Furthermore, we will elaborate on the options available to develop or improve an algorithm that can be used to guide the approach for analysis of tc-EMG signals of inspiratory muscles in future research.
经皮肌电图（tc-EMG）已被用于在各种研究中测量吸气过程中呼吸肌的电活动。对这些吸气肌的原始 tc-EMG 信号进行处理一直很困难，因为基线噪声、心脏干扰、串扰和运动伪影会影响信号质量。在这篇综述中，我们将讨论呼吸肌 tc-EMG 中信号噪声的最重要来源，以及描述的各种抑制或减少这种信号噪声的技术。此外，我们将详细阐述可用于开发或改进算法的选项，该算法可用于指导未来研究中吸气肌 tc-EMG 信号分析的方法。
