fNIRS
PulseAugur coverage of fNIRS — every cluster mentioning fNIRS across labs, papers, and developer communities, ranked by signal.
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New FRED system decodes imagined handwriting from EEG data
Researchers have developed FRED, a system designed to decode imagined handwriting from EEG and fNIRS data. The system utilizes a temporal network that processes complementary EEG frequency views to model motor sequences…
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fNIRS brain signals guide robot reinforcement learning
Researchers have developed an offline approach to guide robot behavior using functional near-infrared spectroscopy (fNIRS) brain signals. This method integrates neural data into reinforcement learning algorithms, augmen…
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EEGNet study reveals challenges in fNIRS-driven cognitive load classification
A new study published on arXiv evaluates the effectiveness of EEGNet for classifying cognitive load using fNIRS signals. The research systematically examined various parameters, including temporal segmentation, window l…
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New framework uses EEG and fNIRS to detect depressive states
Researchers have developed a new framework for classifying depressive states using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) biological signals. This pilot study, involving eleven he…