PDMS/CNT electrodes with bioamplifier for practical in-the-ear and conventional biosignal recordings.

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL Journal of neural engineering Pub Date : 2024-09-10 DOI:10.1088/1741-2552/ad7905
Jongsook Sanguantrakul,Apit Hemakom,Tharapong Soonrach,Pasin Israsena
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Abstract

Potential usage of dry electrodes in emerging applications such as wearable devices, flexible tattoo circuits, and stretchable displays requires that, to become practical solutions, issues such as easy fabrication, strong durability, and low-cost materials must be addressed. The objective of this study was to propose soft and dry electrodes developed from polydimethylsiloxane (PDMS) and carbon nanotube (CNT) composites. Connected with both conventional and in-house NTAmp biosignal instruments for comparative studies, performances of the proposed dry electrodes were evaluated through electromyogram (EMG), electrocardiogram (ECG), and electroencephalogram (EEG) measurements. Results demonstrated that the capability of the PDMS/CNT electrodes to receive biosignals was on par with that of commercial electrodes (adhesive and gold-cup electrodes). Depending on the type of stimuli, a signal-to-noise ratio (SNR) of 5-10 dB range was achieved. The results of the study show that the performance of the proposed dry electrode is comparable to that of commercial electrodes, offering possibilities for diverse applications. These applications may include the physical examination of vital medical signs, the control of intelligent devices and robots, and the transmission of signals through flexible materials.
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带有生物放大器的 PDMS/CNT 电极,用于实用耳内和传统生物信号记录。
干电极在可穿戴设备、柔性纹身电路和可拉伸显示器等新兴应用中的潜在用途要求,要成为实用的解决方案,必须解决易于制造、耐用性强和材料成本低等问题。本研究的目的是提出利用聚二甲基硅氧烷(PDMS)和碳纳米管(CNT)复合材料开发的干式软电极。为进行比较研究,将传统和内部 NTAmp 生物信号仪器连接起来,通过肌电图(EMG)、心电图(ECG)和脑电图(EEG)测量来评估所提出的干电极的性能。结果表明,PDMS/CNT 电极接收生物信号的能力与商用电极(粘合剂和金杯电极)相当。根据刺激类型的不同,信噪比(SNR)可达到 5-10 dB 的范围。研究结果表明,所提议的干电极的性能与商用电极相当,为各种应用提供了可能性。这些应用可能包括重要医疗体征的物理检查、智能设备和机器人的控制,以及通过柔性材料传输信号。
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来源期刊
Journal of neural engineering
Journal of neural engineering 工程技术-工程:生物医学
CiteScore
7.80
自引率
12.50%
发文量
319
审稿时长
4.2 months
期刊介绍: The goal of Journal of Neural Engineering (JNE) is to act as a forum for the interdisciplinary field of neural engineering where neuroscientists, neurobiologists and engineers can publish their work in one periodical that bridges the gap between neuroscience and engineering. The journal publishes articles in the field of neural engineering at the molecular, cellular and systems levels. The scope of the journal encompasses experimental, computational, theoretical, clinical and applied aspects of: Innovative neurotechnology; Brain-machine (computer) interface; Neural interfacing; Bioelectronic medicines; Neuromodulation; Neural prostheses; Neural control; Neuro-rehabilitation; Neurorobotics; Optical neural engineering; Neural circuits: artificial & biological; Neuromorphic engineering; Neural tissue regeneration; Neural signal processing; Theoretical and computational neuroscience; Systems neuroscience; Translational neuroscience; Neuroimaging.
期刊最新文献
Building consensus on clinical outcome assessments for BCI devices. A summary of the 10th BCI society meeting 2023 workshop. o-CLEAN: a novel multi-stage algorithm for the ocular artifacts' correction from EEG data in out-of-the-lab applications. PDMS/CNT electrodes with bioamplifier for practical in-the-ear and conventional biosignal recordings. DOCTer: a novel EEG-based diagnosis framework for disorders of consciousness. I see artifacts: ICA-based EEG artifact removal does not improve deep network decoding across three BCI tasks.
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