AIMC Topic: Electrocorticography

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Decoding spectro-temporal representation for motor imagery recognition using ECoG-based brain-computer interfaces.

Journal of integrative neuroscience Jun 30, 2020
One of the challenges in brain-computer interface systems is obtaining motor imagery recognition from brain activities. Brain-signal decoding robustness and system performance improvement during the motor imagery process are two of the essential issu...
Humans Adult Support Vector Machine Signal Processing, Computer-Assisted Datasets as Topic Pattern Recognition, Automated Brain-Computer Interfaces Cerebral Cortex Motor Activity Electrocorticography Imagination
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Automatic detection of High Frequency Oscillations (80-500Hz) based on Convolutional Neural Network in Human Intracerebral Electroencephalogram.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Recently, high-frequency oscillations (HFOs) of range 80-500 Hz in electroencephalogram (EEG) recordings of epilepsy patients are considered as a reliable marker of epileptic seizure. In the present work, an automatic detection of HFOs represents an ...
Humans Neural Networks, Computer Female Young Adult Adult Male Electroencephalography Epilepsy Seizures Electrocorticography
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Neural activity reveals interactions between episodic and semantic memory systems during retrieval.

Journal of experimental psychology. General Jan 1, 2019
Whereas numerous findings support a distinction between episodic and semantic memory, it is now widely acknowledged that these two forms of memory interact during both encoding and retrieval. The precise nature of this interaction, however, remains p...
Humans Machine Learning Female Young Adult Adult Male Middle Aged Semantics Cerebral Cortex Memory, Episodic Mental Recall Electrocorticography
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Online control of a humanoid robot through hand movement imagination using CSP and ECoG based features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
Intention recognition through decoding brain activity could lead to a powerful and independent Brain-Computer-Interface (BCI) allowing for intuitive control of devices like robots. A common strategy for realizing such a system is the motor imagery (M...
Humans Female Aged Models, Theoretical Robotics Electroencephalography Equipment Design Hand Brain-Computer Interfaces Electrocorticography Imagination
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