User profiles for Martin G. Bleichner

Dr. Martin Bleichner

Carl von Ossietzky Universit�t Oldenburg
Verified email at uni-oldenburg.de
Cited by 3964

[HTML][HTML] Fully implanted brain–computer interface in a locked-in patient with ALS

MJ Vansteensel, EGM Pels, MG Bleichner…�- …�England Journal of�…, 2016 - Mass Medical Soc
<p id="p001">Options for people with severe paralysis who have lost the ability to communicate
orally are limited. We describe a method for communication in a patient with late-stage …

[HTML][HTML] Concealed, unobtrusive ear-centered EEG acquisition: cEEGrids for transparent EEG

MG Bleichner, S Debener�- Frontiers in human neuroscience, 2017 - frontiersin.org
Electroencephalography (EEG) is an important clinical tool and frequently used to study the
brain-behavior relationship in humans noninvasively. Traditionally, EEG signals are …

[HTML][HTML] Give me a sign: decoding four complex hand gestures based on high-density ECoG

MG Bleichner, ZV Freudenburg, JM Jansma…�- Brain Structure and�…, 2016 - Springer
The increasing understanding of human brain functions makes it possible to directly interact
with the brain for therapeutic purposes. Implantable brain computer interfaces promise to …

Identifying auditory attention with ear-EEG: cEEGrid versus high-density cap-EEG comparison

MG Bleichner, B Mirkovic…�- Journal of neural�…, 2016 - iopscience.iop.org
Objective. This study presents a direct comparison of a classical EEG cap setup with a new
around-the-ear electrode array (cEEGrid) to gain a better understanding of the potential of ear…

Real-time EEG feedback during simultaneous EEG–fMRI identifies the cortical signature of motor imagery

C Zich, S Debener, C Kranczioch, MG Bleichner…�- Neuroimage, 2015 - Elsevier
Motor imagery (MI) combined with real-time electroencephalogram (EEG) feedback is a
popular approach for steering brain–computer interfaces (BCI). MI BCI has been considered …

[HTML][HTML] Target speaker detection with concealed EEG around the ear

B Mirkovic, MG Bleichner, M De Vos…�- Frontiers in�…, 2016 - frontiersin.org
Target speaker identification is essential for speech enhancement algorithms in assistive
devices aimed toward helping the hearing impaired. Several recent studies have reported that …

Exploring miniaturized EEG electrodes for brain‐computer interfaces. An EEG you do not see?

MG Bleichner, M Lundbeck, M Selisky…�- Physiological�…, 2015 - Wiley Online Library
Electroencephalography ( EEG ) allows the study of the brain–behavior relationship in
humans. Most of what we have learned with EEG was through observing the brain–behavior …

[HTML][HTML] A Riemannian modification of artifact subspace reconstruction for EEG artifact handling

S Blum, NSJ Jacobsen, MG Bleichner…�- Frontiers in human�…, 2019 - frontiersin.org
Artifact Subspace Reconstruction (ASR) is an adaptive method for the online or offline
correction of artifacts comprising multichannel electroencephalography (EEG) recordings. It …

Decoding spoken phonemes from sensorimotor cortex with high-density ECoG grids

…, EJ Aarnoutse, MJ Vansteensel, MG Bleichner…�- Neuroimage, 2018 - Elsevier
For people who cannot communicate due to severe paralysis or involuntary movements,
technology that decodes intended speech from the brain may offer an alternative means of …

Decoding hand gestures from primary somatosensory cortex using high-density ECoG

…, ZV Freudenburg, EJ Aarnoutse, MG Bleichner…�- Neuroimage, 2017 - Elsevier
Electrocorticography (ECoG) based Brain-Computer Interfaces (BCIs) have been proposed
as a way to restore and replace motor function or communication in severely paralyzed …