A review of psychophysiological measures to assess cognitive states in real-world driving
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …
cognitively removed from the driving process. Psychophysiological measures may provide …
The Berlin brain-computer interface: progress beyond communication and control
The combined effect of fundamental results about neurocognitive processes and
advancements in decoding mental states from ongoing brain signals has brought forth a …
advancements in decoding mental states from ongoing brain signals has brought forth a …
[HTML][HTML] Best practices for fNIRS publications
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control
In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
Biosignal-based spoken communication: A survey
Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …
A systematic review on hybrid EEG/fNIRS in brain-computer interface
As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …
has many established and burgeoning applications across scientific disciplines. Many …
The potential of functional near-infrared spectroscopy-based neurofeedback—a systematic review and recommendations for best practice
Background: The effects of electroencephalography (EEG) and functional magnetic
resonance imaging (fMRI)-neurofeedback on brain activation and behaviors have been …
resonance imaging (fMRI)-neurofeedback on brain activation and behaviors have been …
Using the general linear model to improve performance in fNIRS single trial analysis and classification: a perspective
A von Lühmann, A Ortega-Martinez… - Frontiers in human …, 2020 - frontiersin.org
Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS)
signals has gained significant momentum, and fNIRS joined the set of modalities frequently …
signals has gained significant momentum, and fNIRS joined the set of modalities frequently …
[HTML][HTML] Improved physiological noise regression in fNIRS: a multimodal extension of the general linear model using temporally embedded canonical correlation …
For the robust estimation of evoked brain activity from functional Near-Infrared Spectroscopy
(fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion …
(fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion …
M3BA: a mobile, modular, multimodal biosignal acquisition architecture for miniaturized EEG-NIRS-based hybrid BCI and monitoring
A von Lühmann, H Wabnitz, T Sander… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Objective: For the further development of the fields of telemedicine, neurotechnology, and
brain-computer interfaces, advances in hybrid multimodal signal acquisition and processing …
brain-computer interfaces, advances in hybrid multimodal signal acquisition and processing …