F
F. Zanow
Researcher at Technische Universität Ilmenau
Publications - 25
Citations - 400
F. Zanow is an academic researcher from Technische Universität Ilmenau. The author has contributed to research in topics: Electroencephalography & Matching pursuit. The author has an hindex of 10, co-authored 21 publications receiving 318 citations.
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Journal ArticleDOI
Novel Multipin Electrode Cap System for Dry Electroencephalography
Patrique Fiedler,P. Pedrosa,Stefan Griebel,Carlos Fonseca,Filipe Vaz,Eko Supriyanto,F. Zanow,Jens Haueisen +7 more
TL;DR: 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 multich channel EEG acquisition.
Journal ArticleDOI
ASA--Advanced Source Analysis of continuous and event-related EEG/MEG signals.
F. Zanow,Thomas R. Knösche +1 more
TL;DR: An overview on the currently available functionality of the ASA software is presented and examples of its application are provided.
Journal ArticleDOI
Contact Pressure and Flexibility of Multipin Dry EEG Electrodes
Patrique Fiedler,Richard Muhle,Stefan Griebel,P. Pedrosa,Carlos Fonseca,Filipe Vaz,F. Zanow,Jens Haueisen +7 more
TL;DR: The influence of electrode-skin contact pressure and electrode substrate flexibility on interfacial impedance and perceived wearing comfort in a study on 12 volunteers provides the basis for improved EEG cap designs with optimal wearing comfort and recording quality for dry multipin electrodes, which will enable new fields of application for EEG.
Journal ArticleDOI
Multichannel EEG with novel Ti/TiN dry electrodes
Patrique Fiedler,Stefan Griebel,P. Pedrosa,P. Pedrosa,Carlos Fonseca,Carlos Fonseca,Filipe Vaz,Lena Zentner,F. Zanow,Jens Haueisen,Jens Haueisen +10 more
TL;DR: In this paper, a novel type of dry titanium/titanium nitride (Ti/TiN) electrode was integrated into a novel electroencephalography (EEG) cap based on pneumatic-driven mechanisms.
Journal ArticleDOI
SPHARA--a generalized spatial Fourier analysis for multi-sensor systems with non-uniformly arranged sensors: application to EEG.
TL;DR: It is concluded that SPHARA can be used for spatial harmonic analysis of multi-sensor data at arbitrary positions and can be utilized in a variety of other applications.