An FPC based flexible dry electrode with stacked double-micro-domes array for wearable biopotential recording system

Lin, Kae‐Long; Wang, Xinan; Zhang, Xing; Wang, Bo; Huang, Jiayao; Huang, Feng

doi:10.1007/s00542-016-2893-4

Cited by 12 publications

(9 citation statements)

References 13 publications

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“…The mean skin electrode contact impedance of the proposed electrode is 51 KOhm without any preprocessing. The contact impedance value of the proposed electrode is significantly lower than the impedance values in [33] , [47] – [51] and comparable with the impedance values of electrodes in [35] and [11] . However, the original impedance of the self-wetting electrode proposed in [35] is 240 KOhm.…”

Section: Resultssupporting

confidence: 67%

“…Compared to the Ag/AgCl gel electrode, the proposed electrode has lower skin electrode contact impedance at frequency range 1–100Hz. As low frequency range (<100Hz) is especially beneficial for bio-potential monitoring, the skin electrode contact impedance at 10Hz is further compared with electrodes in researches [11] , [33] , [35] , [47] – [51] .…”

Section: Resultsmentioning

confidence: 99%

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A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO₃ Composite for Bio-Potential Signal Monitoring

Zhang

Yue

Xie

et al. 2018

IEEE J. Transl. Eng. Health Med.

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We propose a flexible, dry, and antibacterial electrode with a low and stable skin electrode contact impedance for bio-potential signal monitoring. We fabricated a bacterial cellulose/polyaniline/AgNO3 nanocomposite membrane (BC/PANI/AgNO3) and used it for bio-potential signal monitoring. The bacterial cellulose (BC) provides a 3-D nanoporous network structure, and it was used as a substrate material in the BC/PANI/AgNO3 nanocomposite membrane. Polyaniline (PANI) and AgNO3, acting as conductive and antibacterial components, respectively, were polymerized and deposited on the surfaces of BC nanofibers to produce uniform thin film membrane with flexible, antibacterial, and conductive properties. Various measurements were conducted, in terms of antibacterial activity, skin electrode contact impedance, and qualitative analysis of ECG signal recordings. The BC/PANI/AgNO3 membrane revealed 100% antibacterial activities against both the Staphylococcus aureus and Escherichia coli bacteria. The skin electrode contact impedance of the proposed BC/PANI/AgNO3 electrode is lower than that of the Ag/AgCl gel electrode, with the same active area. In addition, the electrocardiogram (ECG) signals acquired with the proposed electrodes have stable characteristic waveforms, and they are not contaminated by noise. The waveform fidelity of the BC/PANI/AgNO3 membrane electrodes over 800 ECG cardiac cycles is 99.49%, and after the electrodes were worn for 24 hours, a fidelity of 98.40% was recorded over the same number of cardiac cycles. With the low and stable skin electrode contact impedance, the proposed dry BC/PANI/AgNO3 membrane electrode provided high fidelity for ECG signal recordings, thus offering a potential approach for bio-potential signal monitoring. With the above benefits, the novel flexible and dry BC/PANI/AgNO3 electrode has a significant antibacterial. Most of all, it is the first research to develop antibacterial in the electrode design.

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Section: Resultssupporting

confidence: 67%

Section: Resultsmentioning

confidence: 99%

A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO₃ Composite for Bio-Potential Signal Monitoring

Zhang

Yue

Xie

et al. 2018

IEEE J. Transl. Eng. Health Med.

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“…To overcome these problems, we implemented all systems on the FPC with embedded metallic sensors. Flexible dry sensors based on the FPC substrate achieved comparative performance with standard wet Ag/AgCl sensors [ 78 ], and were approved for clinical applications. FPC lines connected the signal-conditioning and signal-processing modules designed on the PCB to transmit signals and power [ 79 ].…”

Section: Discussionmentioning

confidence: 99%

“…When the level of SNR noise reached 20 dB, accuracies were close to clean signals. SNR of standard-wet and FPC-based sensors were 18.1 dB and 20.2 dB [ 78 ]. SNR of the system designed in Youn’s work was 59.06 dB [ 77 ].…”

Section: Discussionmentioning

confidence: 99%

A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors

Sun

Zhang

Zhao

et al. 2018

Sensors

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The novel human-computer interface (HCI) using bioelectrical signals as input is a valuable tool to improve the lives of people with disabilities. In this paper, surface electromyography (sEMG) signals induced by four classes of wrist movements were acquired from four sites on the lower arm with our designed system. Forty-two features were extracted from the time, frequency and time-frequency domains. Optimal channels were determined from single-channel classification performance rank. The optimal-feature selection was according to a modified entropy criteria (EC) and Fisher discrimination (FD) criteria. The feature selection results were evaluated by four different classifiers, and compared with other conventional feature subsets. In online tests, the wearable system acquired real-time sEMG signals. The selected features and trained classifier model were used to control a telecar through four different paradigms in a designed environment with simple obstacles. Performance was evaluated based on travel time (TT) and recognition rate (RR). The results of hardware evaluation verified the feasibility of our acquisition systems, and ensured signal quality. Single-channel analysis results indicated that the channel located on the extensor carpi ulnaris (ECU) performed best with mean classification accuracy of 97.45% for all movement’s pairs. Channels placed on ECU and the extensor carpi radialis (ECR) were selected according to the accuracy rank. Experimental results showed that the proposed FD method was better than other feature selection methods and single-type features. The combination of FD and random forest (RF) performed best in offline analysis, with 96.77% multi-class RR. Online results illustrated that the state-machine paradigm with a 125 ms window had the highest maneuverability and was closest to real-life control. Subjects could accomplish online sessions by three sEMG-based paradigms, with average times of 46.02, 49.06 and 48.08 s, respectively. These experiments validate the feasibility of proposed real-time wearable HCI system and algorithms, providing a potential assistive device interface for persons with disabilities.

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“…Current technologies employ flexible polymers, such as polyimide [3], [17], [18], polydimethylsiloxane (PDMS) [19], [20], and parylene-C [21], [22], as the substrate for the MEA and use metals like gold for contact sites. MEA fabrication is also beginning to combine materials in order to optimize the processing parameters and mechanical properties of different polymers [23], [24] as well as to utilize modified silicone polymers [25].…”

Section: Introductionmentioning

confidence: 99%

Flexible Multielectrode Arrays With 2-D and 3-D Contacts for $In~ Vivo$ Electromyography Recording

Zia

Chung

Sober

et al. 2020

IEEE Trans. Compon., Packag. Manufact. Technol.

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We present a system for recording in vivo electromyographic (EMG) signals from songbirds using hybrid polyimide-polydimethylsiloxane (PDMS) flexible multielectrode arrays (MEAs). 2-D electrodes with a diameter of 200, 125, and 50 μm and a center-to-center pitch of 300, 200, and 100 μm, respectively, were fabricated. 3-D MEAs were fabricated using a photoresist reflow process to obtain hemispherical domes utilized to form the 3-D electrodes. Biocompatibility and flexibility of the arrays were ensured by using polyimide and PDMS as the materials of choice for the arrays. EMG activity was recorded from the expiratory muscle group of anesthetized songbirds using the fabricated 2-D and 3-D arrays. Air pressure data were also recorded simultaneously from the air sac of the songbird. Together, EMG recordings and air pressure measurements can be used to characterize how the nervous system controls breathing and other motor behaviors. Such technologies can in turn provide unique insights into motor control in a range of species, including humans. An improvement of over 7× in the signal-to-noise ratio (SNR) is observed with the utilization of 3-D MEAs in comparison to 2-D MEAs.

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An FPC based flexible dry electrode with stacked double-micro-domes array for wearable biopotential recording system

Cited by 12 publications

References 13 publications

A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO₃ Composite for Bio-Potential Signal Monitoring

A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO₃ Composite for Bio-Potential Signal Monitoring

A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors

Flexible Multielectrode Arrays With 2-D and 3-D Contacts for $In~ Vivo$ Electromyography Recording

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An FPC based flexible dry electrode with stacked double-micro-domes array for wearable biopotential recording system

Cited by 12 publications

References 13 publications

A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO3 Composite for Bio-Potential Signal Monitoring

A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO3 Composite for Bio-Potential Signal Monitoring

A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors

Flexible Multielectrode Arrays With 2-D and 3-D Contacts for $In~ Vivo$ Electromyography Recording

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A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO₃ Composite for Bio-Potential Signal Monitoring

A Novel Antibacterial Membrane Electrode Based on Bacterial Cellulose/Polyaniline/AgNO₃ Composite for Bio-Potential Signal Monitoring