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Open AccessArticle

Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies

CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
Institute of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
Southern University of Science and Technology, Shenzhen 518055, China
Department of Anatomy, School of Medicine, Shandong University, Jinan 250100, China
Authors to whom correspondence should be addressed.
Appl. Sci. 2018, 8(2), 276;
Received: 15 November 2017 / Revised: 26 January 2018 / Accepted: 6 February 2018 / Published: 12 February 2018
(This article belongs to the Special Issue Bio-Inspired Robotics)
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. View Full-Text
Keywords: shielded drive; power line interference; electrode lead jitter; ECG; EOG; EMG shielded drive; power line interference; electrode lead jitter; ECG; EOG; EMG
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Jiang, Y.; Samuel, O.W.; Liu, X.; Wang, X.; Idowu, P.O.; Li, P.; Chen, F.; Zhu, M.; Geng, Y.; Wu, F.; Chen, S.; Li, G. Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies. Appl. Sci. 2018, 8, 276.

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