标题：Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies
作者：Jiang, Yanbing; Samuel, Oluwarotimi Williams; Liu, Xueyu; Wang, Xin; Idowu, Paul Oluwagbenga; Li, Peng; Chen, Fei; Zhu, Mingxing; Geng 更多 作者机构：[Jiang, Yanbing; Samuel, Oluwarotimi Williams; Wang, Xin; Idowu, Paul Oluwagbenga; Zhu, Mingxing; Geng, Yanjuan; Chen, Shixiong; Li, Guanglin] Chinese 更多
通讯作者：Chen, SX;Li, GL
通讯作者地址：[Chen, SX; Li, GL]Chinese Acad Sci, Shenzhen Inst Adv Technol, CAS Key Lab Human Machine Intelligence Synergy Sy, Shenzhen 518055, Peoples R China.
关键词：shielded drive; power line interference; electrode lead jitter; ECG;; EOG; EMG
摘要：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.