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Research project

Wearable multiplexed biomedical electrodes (WEARPLEX)

Project overview

WEARPLEX is a multidisciplinary research and innovation action with the overall aim to integrate printed electronics with flexible and wearable textile-based biomedical multi-pad electrodes. It aims to answer the growing need for user friendly electrodes for pervasive measurement of electrophysiological signals and application of electrical stimulation. It focuses on the development of the printable electronics and manufacturing processes for stretchable textile based multi-pad electrodes with integrated logic circuits that enable a significant increase in the number of electrode pads (channels) and facilitate the creation of new products in the sectors of medical electronics and life-style. The advanced printed electronics integrated in WEARPLEX electrodes will allow the individual pads to be connected in arbitrary configurations to the output leads of the electrode. Therefore, the pads will be flexibly organized into several virtual electrodes of arbitrary position, shape and size that can be connected to any standard multi-channel recording and stimulation system. In addition, software methods will be developed for automatic calibration of these virtual electrodes, to detect stimulation/recording hotspots and adjust the virtual electrodes accordingly. Therefore, the WEARPLEX project will lead to a new generation of smart electrodes that will be able to adapt simultaneously to the user (wearable and stretchable garment), recording/stimulation scenario (movement type and target muscles) and recording/stimulation system (number of channels). This is a paradigm shift in designing the recording and stimulation systems, as the switching electronics is shifted from the custom-made stimulator/recording device to the smart electrode, leading to a universal solution compatible with any system.


Lead researcher

Dr Russel Torah BEng, MSc, PhD

Associate Professor

Collaborating research institutes, centres and groups

Research outputs

Monika Glanc-Gostkiewicz,
Helga Nunes Matos,
, 2021 , IEEE Sensors Journal , 21 (16) , 18263--18270
Type: article
Helga Nunes Matos,
Monika Glanc-Gostkiewicz,
, 2020
Type: conference
Strahinja Dosen,
Erika Spaich,
Milos Kostic,
Matija Strbac,
Thierry Keller,
Nikola Perinka,
Senentxu Lanceros-Mendez,
Luis Pelaez Murciego,
Peter Andersson Ersman,
Yusuf Mulla,
Arved Hubler,
Maxim Polomoshnov,
Rune Wendelbo,
Azadeh Motealleh,
Severine Chardonnens,
Katja Junker,
Antti Tauriainen,
Jenni Isotalo,
& Roelof Aalpoel
, 2020
Type: conference
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