Force measurement of electrodes on a human head model
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Thomas Fröhlich
Univ.-Prof. Dr.-Ing. habil. Thomas Fröhlich is the head of the department process measuring technology at Faculty of Mechanical Engineering at the Technische Universität Ilmenau.
,
Johannes Sindram
Johannes Sindram studied from 2012 to 2018 at the Technische Universität Ilmenau and received his master’s degree in 2018. From 2018 to 2021, he was a research associate at the Technische Universität Ilmenau at the Institute of Process Measurement and Sensor Technology. Since 2021, he has been working as a engineer and project manager at GPE GmbH in the field of medical technology.
Jens Haueisen received a M. S. and a Ph. D. in electrical engineering from the Technische Universität Ilmenau, Germany, in 1992 and 1996, respectively. From 1996 to 1998 he worked as a Post-Doc and from 1998 to 2005 as the head of the Biomagnetic Center, Friedrich-Schiller-University, Jena, Germany. In 2003 he received the habilitation (professorial thesis). Since 2005 he is full Professor of Biomedical Engineering and directs the Institute of Biomedical Engineering and Informatics at the Technische Universität Ilmenau, Germany. His research interests include the investigation of active and passive bioelectric and biomagnetic phenomena.
and
Alexander Hunold
Alexander Hunold received B. S. and M. S. (with honors) degrees in biomedical engineering in 2011 and 2012 from Technische Universität Ilmenau and spent six months each at University of Utah and Boston Children’s Hospital/Harvard Medical School. Mr. Hunold is persuing his doctoral study in which he works on theoretical and practical aspects of transcranial electric current stimulation. His research interests include volume conductor modeling, as well as bio-electromagnetic field simulations and measurements. He authored and co-authored 20 peer reviewed journal articles and over 60 conference contributions.
Abstract
Electroencephalography (EEG) and transcranial electric stimulation (TES) require caps for holding the respective electrodes in place. To support the optimal design of such caps, knowledge of the force-displacement curves for each electrode position is desirable. We propose a calibrated setup to traceably measure force-displacement curves which consists of a human head model, a force sensor, a linear guide, a stepper motor, and a multiplexing multimeter. Repeated measures of a textile EEG-cap and a TES-cap show significant non-linearity and hysteresis effects for the force-displacement curves. Our setup will allow for the assessment of the fit of EEG and TES-caps for various head shapes and sizes.
Zusammenfassung
Für die Elektroenzephalographie (EEG) und die transkranielle elektrische Stimulation (TES) werden Kappen zur Fixierung der jeweiligen Elektroden benötigt. Um das optimale Design solcher Kappen zu unterstützen, ist die Kenntnis der Kraft-Weg-Kurven für jede Elektrodenposition wünschenswert. Wir schlagen einen kalibrierten Aufbau zur rückführbaren Messung von Kraft-Weg-Kennlinien vor, der aus einem menschlichen Kopfmodell, einem Kraftsensor, einer Linearführung, einem Schrittmotor und einem Multimeter besteht. Wiederholte Messungen einer textilen EEG-Kappe und einer TES-Kappe zeigen eine signifikante Nichtlinearität und Hystereseeffekte für die Kraft-Weg-Kurven. Unser Aufbau ermöglicht die Bewertung der Passform von EEG- und TES-Kappen für verschiedene Kopfformen und -größen.
Funding source: Freistaat Thüringen
Award Identifier / Grant number: 2018 IZN 004
Funding statement: This project has received funding from the Free State of Thuringia under 2018 IZN 004 co-financed by the European Union under the European Regional Development Fund (ERDF).
About the authors
Univ.-Prof. Dr.-Ing. habil. Thomas Fröhlich is the head of the department process measuring technology at Faculty of Mechanical Engineering at the Technische Universität Ilmenau.
Johannes Sindram studied from 2012 to 2018 at the Technische Universität Ilmenau and received his master’s degree in 2018. From 2018 to 2021, he was a research associate at the Technische Universität Ilmenau at the Institute of Process Measurement and Sensor Technology. Since 2021, he has been working as a engineer and project manager at GPE GmbH in the field of medical technology.
Jens Haueisen received a M. S. and a Ph. D. in electrical engineering from the Technische Universität Ilmenau, Germany, in 1992 and 1996, respectively. From 1996 to 1998 he worked as a Post-Doc and from 1998 to 2005 as the head of the Biomagnetic Center, Friedrich-Schiller-University, Jena, Germany. In 2003 he received the habilitation (professorial thesis). Since 2005 he is full Professor of Biomedical Engineering and directs the Institute of Biomedical Engineering and Informatics at the Technische Universität Ilmenau, Germany. His research interests include the investigation of active and passive bioelectric and biomagnetic phenomena.
Alexander Hunold received B. S. and M. S. (with honors) degrees in biomedical engineering in 2011 and 2012 from Technische Universität Ilmenau and spent six months each at University of Utah and Boston Children’s Hospital/Harvard Medical School. Mr. Hunold is persuing his doctoral study in which he works on theoretical and practical aspects of transcranial electric current stimulation. His research interests include volume conductor modeling, as well as bio-electromagnetic field simulations and measurements. He authored and co-authored 20 peer reviewed journal articles and over 60 conference contributions.
References
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Articles in the same Issue
- Frontmatter
- Beiträge
- Development of a methodical approach for uncertainty quantification and meta-modeling of surface hardness in white layers of longitudinal turned AISI4140 surfaces
- Optimierung der Sensorpositionierung bei schwingungsbasierter Wälzlagerzustandsüberwachung unter Einbezug von Systemeigenmoden
- Berührungslose Messung von Pitchwinkelabweichungen an Windenergieanlagen aus 150 m Entfernung
- Kontaktlose Durchhangsdetektion an Freileitungen durch Bildverarbeitung
- Novel methodology for turbine gas meters error curve modelling across a wide range of operating parameters
- A simple closed-form model to accurately calculate the electromechanical coupling coefficient of CMUTs
- Force measurement of electrodes on a human head model
