Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evoking
Introduction: Bidirectional transmission of information is needed to realize a closed-loop human-machine interaction (HMI), where electrophysiological signals are recorded for man-machine control and electrical stimulations are used for machine-man feedback. As a neural interface (NI) connecting man...
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2023.1238210/full |
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| author | Xi Tang Xi Tang Yuanzhe Dong Yuanzhe Dong Qingge Li Qingge Li Zhiyuan Liu Zhiyuan Liu Nan Yan Nan Yan Yongcheng Li Yongcheng Li Bin Liu Lelun Jiang Rong Song Yingying Wang Yingying Wang Guanglin Li Guanglin Li Peng Fang Peng Fang |
| author_facet | Xi Tang Xi Tang Yuanzhe Dong Yuanzhe Dong Qingge Li Qingge Li Zhiyuan Liu Zhiyuan Liu Nan Yan Nan Yan Yongcheng Li Yongcheng Li Bin Liu Lelun Jiang Rong Song Yingying Wang Yingying Wang Guanglin Li Guanglin Li Peng Fang Peng Fang |
| author_sort | Xi Tang |
| collection | DOAJ |
| description | Introduction: Bidirectional transmission of information is needed to realize a closed-loop human-machine interaction (HMI), where electrophysiological signals are recorded for man-machine control and electrical stimulations are used for machine-man feedback. As a neural interface (NI) connecting man and machine, electrodes play an important role in HMI and their characteristics are critical for information transmission.Methods: In this work, we fabricated a kind of microneedle array electrodes (MAEs) by using a magnetization-induced self-assembly method, where microneedles with a length of 500–600 μm and a tip diameter of ∼20 μm were constructed on flexible substrates. Part of the needle length could penetrate through the subjects’ stratum corneum and reach the epidermis, but not touch the dermis, establishing a safe and direct communication pathway between external electrical circuit and internal peripheral nervous system.Results: The MAEs showed significantly lower and more stable electrode-skin interface impedance than the metal-based flat array electrodes (FAEs) in various testing scenarios, demonstrating their promising impedance characteristics. With the stable microneedle structure, MAEs exhibited an average SNR of EMG that is more than 30% higher than FAEs, and a motion-intention classification accuracy that is 10% higher than FAEs. The successful sensation evoking demonstrated the feasibility of the MAE-based electrical stimulation for sensory feedback, where a variety of natural and intuitive feelings were generated in the subjects and thereafter objectively verified through EEG analysis.Discussion: This work confirms the application potential of MAEs working as an effective NI, in both electrophysiological recording and electrical stimulation, which may provide a technique support for the development of HMI. |
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| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-03-12T17:43:51Z |
| publishDate | 2023-08-01 |
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| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-95aefa83e48f45fe9e8cc42c379d45a32023-08-03T22:19:03ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852023-08-011110.3389/fbioe.2023.12382101238210Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evokingXi Tang0Xi Tang1Yuanzhe Dong2Yuanzhe Dong3Qingge Li4Qingge Li5Zhiyuan Liu6Zhiyuan Liu7Nan Yan8Nan Yan9Yongcheng Li10Yongcheng Li11Bin Liu12Lelun Jiang13Rong Song14Yingying Wang15Yingying Wang16Guanglin Li17Guanglin Li18Peng Fang19Peng Fang20CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, ChinaShenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, ChinaIntroduction: Bidirectional transmission of information is needed to realize a closed-loop human-machine interaction (HMI), where electrophysiological signals are recorded for man-machine control and electrical stimulations are used for machine-man feedback. As a neural interface (NI) connecting man and machine, electrodes play an important role in HMI and their characteristics are critical for information transmission.Methods: In this work, we fabricated a kind of microneedle array electrodes (MAEs) by using a magnetization-induced self-assembly method, where microneedles with a length of 500–600 μm and a tip diameter of ∼20 μm were constructed on flexible substrates. Part of the needle length could penetrate through the subjects’ stratum corneum and reach the epidermis, but not touch the dermis, establishing a safe and direct communication pathway between external electrical circuit and internal peripheral nervous system.Results: The MAEs showed significantly lower and more stable electrode-skin interface impedance than the metal-based flat array electrodes (FAEs) in various testing scenarios, demonstrating their promising impedance characteristics. With the stable microneedle structure, MAEs exhibited an average SNR of EMG that is more than 30% higher than FAEs, and a motion-intention classification accuracy that is 10% higher than FAEs. The successful sensation evoking demonstrated the feasibility of the MAE-based electrical stimulation for sensory feedback, where a variety of natural and intuitive feelings were generated in the subjects and thereafter objectively verified through EEG analysis.Discussion: This work confirms the application potential of MAEs working as an effective NI, in both electrophysiological recording and electrical stimulation, which may provide a technique support for the development of HMI.https://www.frontiersin.org/articles/10.3389/fbioe.2023.1238210/fullneural interfacemicroneedle array electrodeelectrophysiologicalEMGtranscutaneous electrical nerve stimulationsensory feedback |
| spellingShingle | Xi Tang Xi Tang Yuanzhe Dong Yuanzhe Dong Qingge Li Qingge Li Zhiyuan Liu Zhiyuan Liu Nan Yan Nan Yan Yongcheng Li Yongcheng Li Bin Liu Lelun Jiang Rong Song Yingying Wang Yingying Wang Guanglin Li Guanglin Li Peng Fang Peng Fang Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evoking Frontiers in Bioengineering and Biotechnology neural interface microneedle array electrode electrophysiological EMG transcutaneous electrical nerve stimulation sensory feedback |
| title | Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evoking |
| title_full | Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evoking |
| title_fullStr | Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evoking |
| title_full_unstemmed | Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evoking |
| title_short | Using microneedle array electrodes for non-invasive electrophysiological signal acquisition and sensory feedback evoking |
| title_sort | using microneedle array electrodes for non invasive electrophysiological signal acquisition and sensory feedback evoking |
| topic | neural interface microneedle array electrode electrophysiological EMG transcutaneous electrical nerve stimulation sensory feedback |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2023.1238210/full |
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