title: Novel Multipin Electrode Cap System for Dry Electroencephalography.
abstract: Current usage of electroencephalography (EEG) is limited to laboratory environments. Self-application of a multichannel wet EEG caps is practically impossible, since the application of state-of-the-art wet EEG sensors requires trained laboratory staff. We propose a novel EEG cap system with multipin dry electrodes overcoming this problem. We describe the design of a novel 24-pin dry electrode made from polyurethane and coated with Ag/AgCl. A textile cap system holds 97 of these dry electrodes. An EEG study with 20 volunteers compares the 97-channel dry EEG cap with a conventional 128-channel wet EEG cap for resting state EEG, alpha activity, eye blink artifacts and checkerboard pattern reversal visual evoked potentials. All volunteers report a good cap fit and good wearing comfort. Average impedances are below 150 kΩ for 92 out of 97 dry electrodes, enabling recording with standard EEG amplifiers. No significant differences are observed between wet and dry power spectral densities for all EEG bands. No significant differences are observed between the wet and dry global field power time courses of visual evoked potentials. The 2D interpolated topographic maps show significant differences of 3.52 and 0.44% of the map areas for the N75 and N145 VEP components, respectively. For the P100 component, no significant differences are observed. Dry multipin electrodes integrated in a textile EEG cap overcome the principle limitations of wet electrodes, allow rapid application of EEG multichannel caps by non-trained persons, and thus enable new fields of application for multichannel EEG acquisition.
authors.affiliation: Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693, Ilmenau, Germany. patrique.fiedler@tu-ilmenau.de.
authors.forename: P
authors.identifier: http://orcid.org/0000-0001-9196-0717
authors.initials: P
authors.lastname: Fiedler
authors.affiliation: Departamento de Engenharia Metalúrgica e de Materiais, Faculdade de Engenharia, Universidade do Porto, 4200-465, Porto, Portugal.
authors.forename: P
authors.initials: P
authors.lastname: Pedrosa
authors.affiliation: Department of Mechanism Technology, Technische Universität Ilmenau, 98693, Ilmenau, Germany.
authors.forename: S
authors.initials: S
authors.lastname: Griebel
authors.affiliation: Departamento de Engenharia Metalúrgica e de Materiais, Faculdade de Engenharia, Universidade do Porto, 4200-465, Porto, Portugal.
authors.forename: C
authors.initials: C
authors.lastname: Fonseca
authors.affiliation: Centro de Física, Universidade do Minho, 4710-057, Braga, Portugal.
authors.forename: F
authors.initials: F
authors.lastname: Vaz
authors.affiliation: IJN-UTM Cardiovascular Engineering Centre, Universiti Teknologi Malaysia, 81300, Johor Bahru, Malaysia.
authors.forename: E
authors.initials: E
authors.lastname: Supriyanto
authors.affiliation: eemagine Medical Imaging Solutions GmbH, 10243, Berlin, Germany.
authors.forename: F
authors.initials: F
authors.lastname: Zanow
authors.affiliation: Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693, Ilmenau, Germany.|Department of Neurology, Biomagnetic Center, Jena University Hospital, 07747, Jena, Germany.
authors.forename: J
authors.initials: J
authors.lastname: Haueisen
mesh_terms: D000328:Adult; D017097:Electric Impedance; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design / Q000295:instrumentation*; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D008297:Male; D015203:Reproducibility of Results