Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Ghent University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Dry electroencephalography textrode for brain activity monitoring15citations
  • 2020Knitted cotton fabric strain sensor by in-situ polymerization of pyrrole4citations

Places of action

Chart of shared publication
Van Langenhove, Lieva
2 / 8 shared
Fante, Kinde Anlay
2 / 2 shared
Malengier, Benny
2 / 7 shared
Mengistie, Desalegn Alemu
1 / 2 shared
Chart of publication period
2021
2020

Co-Authors (by relevance)

  • Van Langenhove, Lieva
  • Fante, Kinde Anlay
  • Malengier, Benny
  • Mengistie, Desalegn Alemu
OrganizationsLocationPeople

article

Dry electroencephalography textrode for brain activity monitoring

  • Van Langenhove, Lieva
  • Fante, Kinde Anlay
  • Malengier, Benny
  • Tseghai, Granch Berhe
Abstract

The advancement in smart materials allows researchers to seek smart textiles for wearable health monitoring. Here, a washable and flexible textile-based dry electroencephalography (EEG) electrode that can detect brain activities has been developed. The EEG electrodes were constructed from an electrically conductive cotton fabric with 67.23 Ω/sq produced through printing PEDOT:PSS/PDMS conductive polymer composite on cotton fabric via screen printing. The mechanical properties like flexural rigidity and tensile strength of the conductive fabric were compared against the bare base material and a PEDOT:PSS-printed fabric. The result from an SEM revealed a uniform printing of the PEDOT:PSS/PDMS on the fabric. The signal-to-noise ratio of the textrode was higher than the Ag/AgCl dry electrode i.e. 17.32 (+3.1%) which open the door for long-term EEG monitoring. Moreover, the electrode can give clear and reliable EEG signals up to 15 washing cycles, 60 bending cycles, 5 multiple uses, and 8 hours of continued use.

Topics
  • polymer
  • scanning electron microscopy
  • strength
  • composite
  • tensile strength
  • washing