Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies
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...
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| Format: | Article |
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MDPI AG
2018-02-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/2/276 |
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| author | Yanbing Jiang Oluwarotimi Williams Samuel Xueyu Liu Xin Wang Paul Oluwagbenga Idowu Peng Li Fei Chen Mingxing Zhu Yanjuan Geng Fengxia Wu Shixiong Chen Guanglin Li |
| author_facet | Yanbing Jiang Oluwarotimi Williams Samuel Xueyu Liu Xin Wang Paul Oluwagbenga Idowu Peng Li Fei Chen Mingxing Zhu Yanjuan Geng Fengxia Wu Shixiong Chen Guanglin Li |
| author_sort | Yanbing Jiang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T23:19:20Z |
| format | Article |
| id | doaj.art-cd4a747d8eeb41159f73e324154757fa |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-10T23:19:20Z |
| publishDate | 2018-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-cd4a747d8eeb41159f73e324154757fa2022-12-22T01:29:46ZengMDPI AGApplied Sciences2076-34172018-02-018227610.3390/app8020276app8020276Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive TechnologiesYanbing Jiang0Oluwarotimi Williams Samuel1Xueyu Liu2Xin Wang3Paul Oluwagbenga Idowu4Peng Li5Fei Chen6Mingxing Zhu7Yanjuan Geng8Fengxia Wu9Shixiong Chen10Guanglin Li11CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaInstitute of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaThe Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, ChinaSouthern University of Science and Technology, Shenzhen 518055, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaDepartment of Anatomy, School of Medicine, Shandong University, Jinan 250100, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaBiopotential 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.http://www.mdpi.com/2076-3417/8/2/276shielded drivepower line interferenceelectrode lead jitterECGEOGEMG |
| spellingShingle | Yanbing Jiang Oluwarotimi Williams Samuel Xueyu Liu Xin Wang Paul Oluwagbenga Idowu Peng Li Fei Chen Mingxing Zhu Yanjuan Geng Fengxia Wu Shixiong Chen Guanglin Li Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies Applied Sciences shielded drive power line interference electrode lead jitter ECG EOG EMG |
| title | Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies |
| title_full | Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies |
| title_fullStr | Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies |
| title_full_unstemmed | Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies |
| title_short | Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies |
| title_sort | effective biopotential signal acquisition comparison of different shielded drive technologies |
| topic | shielded drive power line interference electrode lead jitter ECG EOG EMG |
| url | http://www.mdpi.com/2076-3417/8/2/276 |
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