» Articles » PMID: 32251333

Comparison Between a Wireless Dry Electrode EEG System with a Conventional Wired Wet Electrode EEG System for Clinical Applications

Overview
Journal Sci Rep
Specialty Science
Date 2020 Apr 7
PMID 32251333
Citations 52
Authors
Affiliations
Soon will be listed here.
Abstract

Dry electrode electroencephalogram (EEG) recording combined with wireless data transmission offers an alternative tool to conventional wet electrode EEG systems. However, the question remains whether the signal quality of dry electrode recordings is comparable to wet electrode recordings in the clinical context. We recorded the resting state EEG (rsEEG), the visual evoked potentials (VEP) and the visual P300 (P3) from 16 healthy subjects (age range: 26-79 years) and 16 neurological patients who reported subjective memory impairment (age range: 50-83 years). Each subject took part in two recordings on different days, one with 19 dry electrodes and another with 19 wet electrodes. They reported their preferred EEG system. Comparisons of the rsEEG recordings were conducted qualitatively by independent visual evaluation by two neurologists blinded to the EEG system used and quantitatively by spectral analysis of the rsEEG. The P100 visual evoked potential (VEP) and P3 event-related potential (ERP) were compared in terms of latency, amplitude and pre-stimulus noise. The majority of subjects preferred the dry electrode headset. Both neurologists reported that all rsEEG traces were comparable between the wet and dry electrode headsets. Absolute Alpha and Beta power during rest did not statistically differ between the two EEG systems (p > 0.05 in all cases). However, Theta and Delta power was slightly higher with the dry electrodes (p = 0.0004 for Theta and p < 0.0001 for Delta). For ERPs, the mean latencies and amplitudes of the P100 VEP and P3 ERP showed comparable values (p > 0.10 in all cases) with a similar spatial distribution for both wet and dry electrode systems. These results suggest that the signal quality, ease of set-up and portability of the dry electrode EEG headset used in our study comply with the needs of clinical applications.

Citing Articles

A High-Frequency Temporal-Interference Alternative Current Stimulation Device Using Pulse Amplitude Modulation with Push-Pull Current Sources.

Bai J, Huang S, Lee P, Shyu K, Huang C, Chen T Bioengineering (Basel). 2025; 12(2).

PMID: 40001683 PMC: 11852082. DOI: 10.3390/bioengineering12020164.


Non-invasive canine electroencephalography (EEG): a systematic review.

Kulgod A, van der Linden D, Franca L, Jackson M, Zamansky A BMC Vet Res. 2025; 21(1):73.

PMID: 39966923 PMC: 11834203. DOI: 10.1186/s12917-025-04523-3.


Towards predicting posttraumatic stress symptom severity using portable EEG-derived biomarkers.

Peddi A, Sendi M, Minton S, Langhinrichsen-Rohling R, Hinojosa C, West E Sci Rep. 2025; 15(1):5344.

PMID: 39948125 PMC: 11825728. DOI: 10.1038/s41598-025-88426-1.


Sleep Apnea Detection Using EEG: A Systematic Review of Datasets, Methods, Challenges, and Future Directions.

Fathima S, Ahmed M Ann Biomed Eng. 2025; .

PMID: 39939549 DOI: 10.1007/s10439-025-03691-5.


Comparison of EEG Signal Spectral Characteristics Obtained with Consumer- and Research-Grade Devices.

Mikhaylov D, Saeed M, Husain Alhosani M, F Al Wahedi Y Sensors (Basel). 2025; 24(24.

PMID: 39771843 PMC: 11679099. DOI: 10.3390/s24248108.


References
1.
Fiedler P, Pedrosa P, Griebel S, Fonseca C, Vaz F, Supriyanto E . Novel Multipin Electrode Cap System for Dry Electroencephalography. Brain Topogr. 2015; 28(5):647-656. DOI: 10.1007/s10548-015-0435-5. View

2.
Lopez-Gordo M, Sanchez-Morillo D, Pelayo Valle F . Dry EEG electrodes. Sensors (Basel). 2014; 14(7):12847-70. PMC: 4168519. DOI: 10.3390/s140712847. View

3.
Kohli S, Casson A . Towards out-of-the-lab EEG in uncontrolled environments: Feasibility study of dry EEG recordings during exercise bike riding. Annu Int Conf IEEE Eng Med Biol Soc. 2016; 2015:1025-8. DOI: 10.1109/EMBC.2015.7318539. View

4.
Askamp J, van Putten M . Mobile EEG in epilepsy. Int J Psychophysiol. 2013; 91(1):30-5. DOI: 10.1016/j.ijpsycho.2013.09.002. View

5.
Dash D, Hernandez-Ronquillo L, Moien-Afshari F, Tellez-Zenteno J . Ambulatory EEG: a cost-effective alternative to inpatient video-EEG in adult patients. Epileptic Disord. 2012; 14(3):290-7. DOI: 10.1684/epd.2012.0529. View