2023
DOI: 10.3390/s23094453
|View full text |Cite
|
Sign up to set email alerts
|

Development of Low-Contact-Impedance Dry Electrodes for Electroencephalogram Signal Acquisition

Abstract: Dry electroencephalogram (EEG) systems have a short set-up time and require limited skin preparation. However, they tend to require strong electrode-to-skin contact. In this study, dry EEG electrodes with low contact impedance (<150 kΩ) were fabricated by partially embedding a polyimide flexible printed circuit board (FPCB) in polydimethylsiloxane and then casting them in a sensor mold with six symmetrical legs or bumps. Silver–silver chloride paste was used at the exposed tip of each leg or bump that must … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 38 publications
0
5
0
Order By: Relevance
“…[49] Traditional brain-computer interface systems for diagnosing and treating epilepsy rely largely on implantable rigid electrodes, which have several limitations, including limited electrode detection points, high power consumption, and a high risk of post-implantation inflammatory reactions. [20][21][22] With advancements in bio-affinity materials, micro-nano-scale processing technologies, and semiconductor micro-system integration, the development of brain-computer interfaces is shifting towards miniaturization, low power consumption, ultra-flexibility, high throughput, and high resolution. [31] In this study, we successfully established mouse epilepsy models and recorded neural neurophysiological signals using highchannel and high-density flexible neural electrodes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…[49] Traditional brain-computer interface systems for diagnosing and treating epilepsy rely largely on implantable rigid electrodes, which have several limitations, including limited electrode detection points, high power consumption, and a high risk of post-implantation inflammatory reactions. [20][21][22] With advancements in bio-affinity materials, micro-nano-scale processing technologies, and semiconductor micro-system integration, the development of brain-computer interfaces is shifting towards miniaturization, low power consumption, ultra-flexibility, high throughput, and high resolution. [31] In this study, we successfully established mouse epilepsy models and recorded neural neurophysiological signals using highchannel and high-density flexible neural electrodes.…”
Section: Discussionmentioning
confidence: 99%
“…[14][15][16][17][18] First, most SEEG and micro-wire probes possess only 8-32 recording sites with few exceptions, leading to constrained spatial resolution and coverage with few exceptions. [19][20][21][22] Furthermore, these probes are often fabricated from rigid materials like silicon or tungsten, which can induce inflammation and glial cells accumulation due to the mechanical mismatch between the probes and brain tissue. [23,24] This, in turn, results in the gradual deterioration of signal quality over time.…”
Section: Introductionmentioning
confidence: 99%
“…Recent advances in EEG sensor technology have made them smaller, lighter, and cheaper than ever before while still providing high levels of accuracy and reliability when compared to traditional systems [25,26,42]. Moreover, newer systems often make use of dry electrode designs, which eliminate the need for conductive gels that were previously required for proper functioning [43][44][45][46][47]. Furthermore, many new portable devices exist now that allow users to easily record their own EEG signals without having to visit a clinic [9,[48][49][50][51].…”
Section: Eeg Platformmentioning
confidence: 99%
“…These reasons make gel electrodes unsuitable for long-term, repeated use. Nowadays, many wearable dry electrodes have been researched [ 12 , 13 , 14 , 15 ]. The main research content is to record EEG in a hairy area [ 16 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%