NELON – Design and 3D printing of an electroencephalography electrode holder, functional near-infrared spectroscopy hair separators, and electroencephalography headset
Introduction
We aim for a passive brain computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) in order to classify stroke types. Herein, fNIRS measures local concentration changes of oxygenated and deoxygenated hemoglobin, thereby being able to assess changes in the cerebral blood circulation caused either by a blockade (ischemic stroke) or a blood leakage (hemorrhagic stroke). So far, this technique has been successfully implemented in many aspects related to stroke research: monitoring of patients in the intensive care unit, rehabilitation monitoring, risk assessment in the subacute phase etc.
We want to design and develop a dry EEG electrode holder, fNIRS optode holder, hair separator, and a hybrid EEG-fNIRS headset. The goal is to minimize the time needed to implement a multi-channel EEG and fNIRS in real-world applications.
Yang, Muyue, et al. "A systemic review of functional near-infrared spectroscopy for stroke: current application and future directions." Frontiers in neurology 10 (2019): 58.
Moreau, François, et al. "Near-infrared measurements of brain oxygenation in stroke." Neurophotonics 3.3 (2016): 031403.
Muehlschlegel, Susanne, et al. "Feasibility of NIRS in the neurointensive care unit: a pilot study in stroke using physiological oscillations." Neurocritical care 11.2 (2009): 288.
Terborg, C., et al. "Bedside assessment of cerebral perfusion reductions in patients with acute ischaemic stroke by near-infrared spectroscopy and indocyanine green." Journal of Neurology, Neurosurgery & Psychiatry 75.1 (2004): 38-42
Aim & Research Methods
- Design and print a dry EEG electrode holder with a hair separator and test it
- Design and print an fNIRS optode holder with a hair separator and test it
- Design and print a hybrid EEG-fNIRS headset.
You will be introduced in an interdisciplinary working environment and will learn the following techniques:
(i) fNIRS- and EEG- devices and their measurement routine
(ii) 10-20 standardize EEG electrode placement system
(iii) Impedance Spectroscopy and electrode characterization
Requirements
- motivation to work on an interdisciplinary research topic self-reliantly
- excellent analytical and experimental skills
- experience in programming Inventor, solid works or any similar software
- experience in 3D printing
Possible starting date & further information
Potential starting date is now. For further details and application contact george.al-boustani@tum.de.
Additional information
| Address: Munich School of Biomedical Engineering | Mail: |