Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies
Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies
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有效的生物电势信号采集：不同屏蔽驱动技术的比较
DOI：
10.3390/app8020276
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发表时间：
2018-02-01
影响因子：
2.7
通讯作者：
Li, Guanglin
中科院分区：
文献类型：
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作者：
Jiang, Yanbing;Samuel, Oluwarotimi Williams;Li, Guanglin
生物电位信号的主要特征在于低幅度，因此经常被外部干扰（例如记录环境中的电力线干扰和采集过程中的运动伪影）所失真。随着这种大幅度的干扰的存在下，随后的处理和分析所获得的信号成为一个相当具有挑战性的任务，已被许多以前的研究报告。已经提出了许多基于软件的滤波技术，其中大多数能够使干扰最小化，但代价是使目标信号的有用分量失真。因此，本研究提出了一种基于硬件的方法，该方法利用屏蔽驱动电路来消除对生物电位信号记录的外来干扰，同时还保留了目标信号的所有有用成分。在ADS 1299 EEG-FE平台上，通过对三种不同的生物电位信号（心电图、眼电图和肌电）记录实验，与传统的硬件和软件滤波方法进行比较，评估了该方法的性能。结果表明，该方法能有效抑制电源线干扰及其谐波分量，并能显著消除多余电极引线抖动干扰的影响。这项研究的结果表明，所提出的方法可以提供潜在的洞察力，高质量的采集不同的生物电位信号，大大减轻后续处理在各种生物医学应用。
Biopotential signals are mainly characterized by low amplitude and thus often distorted by extraneous interferences, such as power line interference in the recording environment and movement artifacts during the acquisition process. With the presence of such large-amplitude interferences, subsequent processing and analysis of the acquired signals becomes quite a challenging task that has been reported by many previous studies. A number of software-based filtering techniques have been proposed, with most of them being able to minimize the interferences but at the expense of distorting the useful components of the target signal. Therefore, this study proposes a hardware-based method that utilizes a shielded drive circuit to eliminate extraneous interferences on biopotential signal recordings, while also preserving all useful components of the target signal. The performance of the proposed method was evaluated by comparing the results with conventional hardware and software filtering methods in three different biopotential signal recording experiments (electrocardiogram (ECG), electro-oculogram (EOG), and electromyography (EMG)) on an ADS1299EEG-FE platform. The results showed that the proposed method could effectively suppress power line interference as well as its harmonic components, and it could also significantly eliminate the influence of unwanted electrode lead jitter interference. Findings from this study suggest that the proposed method may provide potential insight into high quality acquisition of different biopotential signals to greatly ease subsequent processing in various biomedical applications.