2020
DOI: 10.3390/mi11060556
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Capturing Human Perceptual and Cognitive Activities via Event-Related Potentials Measured with Candle-Like Dry Microneedle Electrodes

Abstract: We demonstrate capture of event-related potentials (ERPs) using candle-like dry microneedle electrodes (CMEs). CMEs can record an electroencephalogram (EEG) even from hairy areas without any skin preparation, unlike conventional wet electrodes. In our previous research, we experimentally verified that CMEs can measure the spontaneous potential of EEG from the hairy occipital region without preparation with a signal-to-noise ratio as good as that of the conventional wet electrodes which require skin preparation… Show more

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Cited by 6 publications
(10 citation statements)
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References 27 publications
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“…In a particular study, a group of researchers devised a health monitoring system aimed at predicting the prognosis of stroke in real-time. This system integrates an integrated eye-patch portable EEG device and uses data analytic techniques (Yoshida et al , 2020). The study used stroke indicators such as brain symmetry index, δ–α ratio and δ–θ ratio.…”
Section: Classification Of Vital Signs In Wearable Sensingmentioning
confidence: 99%
“…In a particular study, a group of researchers devised a health monitoring system aimed at predicting the prognosis of stroke in real-time. This system integrates an integrated eye-patch portable EEG device and uses data analytic techniques (Yoshida et al , 2020). The study used stroke indicators such as brain symmetry index, δ–α ratio and δ–θ ratio.…”
Section: Classification Of Vital Signs In Wearable Sensingmentioning
confidence: 99%
“…EEG records the electric action of neuronal groups and provides vital information about cerebral diseases such as stroke, mental workload, and stress [ 47 , 48 ]. In one study, researchers developed a real-time health monitoring system for stroke prognosis that incorporates an embedded eye-patch portable EEG device and data analysis [ 49 ]. Stroke markers brain symmetry index, δ-α ratio, and δ-θ ratio were extracted and support vector machine models in machine learning analysis were used to classify strokes, which can be as accurate as 92%.…”
Section: Bioelectrical Signalsmentioning
confidence: 99%
“…For the 10–20 measurement system, only FP1 and FP2, which are on the forehead, are not influenced by hairs. Our group previously proposed and demonstrated candle-like micro-needle electrodes (CMEs, see Figure 1 ) [ 28 , 29 , 30 ]. CMEs can avoid hair and their sharp tips penetrate the stratum corneum, which ensures sufficiently low contact impedance between the electrodes and the skin.…”
Section: Introductionmentioning
confidence: 99%
“…The pressure they apply to the skin is lower than that for other dry electrodes and they do not cause pain. CMEs were experimentally verified to have as good a performance as conventional flat electrodes [ 28 ] and can capture both spontaneous potential and event-related potential [ 29 ].…”
Section: Introductionmentioning
confidence: 99%