Alexander von Luhmann

Alexander von Luhmann received the B.Sc./M.Sc. Degree in electrical engineering with a focus on biomedical engineering from Karlsruhe Institute of Technology (KIT) in 2011/14. After directing a research project on a new mobile multimodal BCI concept in 2014, he started his current work towards the Ph.D. at Technische Universitt Berlin (TU Berlin), where he is also scholar of the BIMoS graduate school. His work focuses on the design of new hardware for multimodal biosignal acquisition and machine learning methods for multimodal EEG- and NIRS- based BCIs and HMIs.

Associated articles

TBME, Featured Articles
M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition architecture for miniaturized EEG-NIRS based hybrid BCI and monitoring
For the further development of the fields of telemedicine, neurotechnology and Brain-Computer Interfaces (BCI), advances in hybrid multimodal signal acquisition and processing technology are invaluable. Currently, there are no commonly available hybrid devices combining bio-electrical and bio-optical neurophysiological measurements –... Read more
TNSRE, Featured Articles
Open Access Dataset for EEG+NIRS Single-Trial Classification
       We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we conducted two BCI experiments (left vs. right hand motor imagery; mental arithmetic vs. resting state). The dataset was validated... Read more