Literature DB >> 26736963

Study of impedance spectra for dry and wet EarEEG electrodes.

Simon L Kappel, Preben Kidmose.   

Abstract

EarEEG is a novel recordings concept where electrodes are embedded on the surface of an earpiece customized to the individual anatomical shape of the users ear. A key parameter for recording EEG signals of good quality is a stable and low impedance electrode-body interface. This study characterizes the impedance for dry and wet EarEEG electrodes in a study of 10 subjects. A custom made and automated setup was used to characterize the impedance spectrum from 0.1 Hz-2 kHz. The study of dry electrodes showed a mean (standard deviation) low frequency impedance of the canal electrodes of 1.2 MΩ (1.4 MΩ) and the high frequency impedance was 230 kΩ (220 kΩ). For wet electrodes the low frequency impedance was 34 kΩ (37 kΩ) and the high frequency impedance was 5.1 kΩ (4.4 kΩ). The high standard deviation of the impedance for dry electrodes imposes very high requirements for the input impedance of the amplifier in order to achieve an acceptable common-mode rejection. The wet electrode impedance was in line with what is typical for a wet electrode interface.

Mesh:

Year:  2015        PMID: 26736963     DOI: 10.1109/EMBC.2015.7319063

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Comparing In-ear EOG for Eye-Movement Estimation With Eye-Tracking: Accuracy, Calibration, and Speech Comprehension.

Authors:  Martin A Skoglund; Martin Andersen; Martha M Shiell; Gitte Keidser; Mike Lind Rank; Sergi Rotger-Griful
Journal:  Front Neurosci       Date:  2022-06-30       Impact factor: 5.152

2.  Physiological artifacts in scalp EEG and ear-EEG.

Authors:  Simon L Kappel; David Looney; Danilo P Mandic; Preben Kidmose
Journal:  Biomed Eng Online       Date:  2017-08-11       Impact factor: 2.819

3.  Highly Porous Platinum Electrodes for Dry Ear-EEG Measurements.

Authors:  Max Eickenscheidt; Patrick Schäfer; Yara Baslan; Claudia Schwarz; Thomas Stieglitz
Journal:  Sensors (Basel)       Date:  2020-06-03       Impact factor: 3.576

4.  Absolute Eye Gaze Estimation With Biosensors in Hearing Aids.

Authors:  Antoine Favre-Félix; Carina Graversen; Tanveer A Bhuiyan; Martin A Skoglund; Sergi Rotger-Griful; Mike Lind Rank; Torsten Dau; Thomas Lunner
Journal:  Front Neurosci       Date:  2019-12-05       Impact factor: 4.677

5.  Advancing towards Ubiquitous EEG, Correlation of In-Ear EEG with Forehead EEG.

Authors:  Swati Mandekar; Abigail Holland; Moritz Thielen; Mehdi Behbahani; Mark Melnykowycz
Journal:  Sensors (Basel)       Date:  2022-02-17       Impact factor: 3.576

  5 in total

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