心脏污染的皮质电成像设备的伪影去除

IF 5.2 2区 医学 Q2 ENGINEERING, BIOMEDICAL
K. A. Liyanage;P. E. Yoo;D. B. Grayden;N. L. Opie;T. J. Oxley
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引用次数: 0

摘要

电子设备安置在胸部附近的皮质电图(ECoG)设备容易受到与脑电图(EEG)和标准ECoG不同性质的伪影的影响。使用通过血管内神经接口获得的数据,我们比较了离线环境下不同的伪影去除技术,目的是提高临床获得数据的质量和有用性。应用并评估了三种不同的过滤方法:共同平均参考(CAR)、自动ECG通道选择的独立分量分析(ICA)和基于模板的去除(TBR)。将自动心电通道选择方法与人工心电通道选择方法进行比较。采用信号-伪信号均方根(RMS)值对方法进行比较。心电源通道自动选择与人工选择具有较高的一致性。所有滤波方法都降低了伪影后的均方根幅值,提高了信伪比。ICA花了最多的时间来计算,但具有最大的改进的信伪比。在没有心电图伪影的区域,TBR比其他方法更好地保留了底层皮质电图数据。具有自动ECG通道选择方法的ICA是三种测试方法中去除ECG伪影同时保留底层信号的首选方法。我们建立了可用于改善易受心脏污染的皮质电成像设备的神经数据的方法,以促进作为脑机接口的翻译。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artifact Removal in Electrocorticography Devices With Cardiac Contamination
Electrocorticography (ECoG) devices with electronics housed near the chest are susceptible to artifacts of a differing nature to electroencephalography (EEG) and standard ECoG. Using data obtained via an endovascular neural interface, we compared different artifact removal techniques in an offline setting with the aim of improving the quality and usefulness of clinically acquired data. Three different methods of filtration were applied and assessed: Common Average Referencing (CAR), Independent Component Analysis (ICA) with automated ECG channel selection, and Template-Based Removal (TBR). The automated ECG channel selection method was compared to manual selection. Methods were compared using signal-to-artifact root-mean-squared (RMS) values. The automated ECG source channel selection had high concordance with manual selection. All filtration methods decreased post-artifact RMS amplitudes and improved signal-to-artifact ratios. ICA took the most time to compute but had the most improved signal-to-artifact ratio. In regions with no ECG artifact, TBR preserved the underlying electrocorticography data better than the other methods. ICA with an automated method of ECG channel selection is the preferred method out of the three tested to remove ECG artifact while preserving the underlying signal. We establish methods that can be used to improve neural data of electrocorticography devices susceptible to cardiac contamination to facilitate translation as brain-computer interfaces.
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来源期刊
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
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