AIMC Topic: Electroencephalography

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Reverse bi-orthogonal wavelets & fuzzy classifiers for the automatic detection of spike waves in the EEG of the hypoxic ischemic pre-term fetal sheep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
There exists a 6-8 hour window of opportunity for the treatment of perinatal Hypoxic-Ischemic Encephalopathy (HIE) following the original insult after which significant irreversible brain injury manifests leading to debilitating neurological conditio...
Algorithms Animals Fuzzy Logic Electroencephalography Sheep Fetus Wavelet Analysis Hypoxia-Ischemia, Brain
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Cooperation driven coherence: Brains working hard together.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
The current study aims to look at the difference in coupling of EEG activity of participant pairs while they perform a cooperative, concurrent, independent yet different task at high and low difficulty levels. Participants performed the National Aero...
Humans Brain Young Adult Male Electroencephalography Aircraft Workload Cooperative Behavior
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Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality training applications and high resolution electroencephalography (HR-EEG). The outcome of the clini...
Humans Brain Aged Biomechanical Phenomena Male Recovery of Function Robotics Electroencephalography Stroke Virtual Reality Exposure Therapy Motor Activity Survivors Stroke Rehabilitation Neurological Rehabilitation
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On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Learning the deep structures and unknown correlations is important for the detection of motor imagery of EEG signals (MI-EEG). This study investigates the use of convolutional neural networks (CNNs) for the classification of multi-class MI-EEG signal...
Humans Neural Networks, Computer Algorithms Electroencephalography Signal Processing, Computer-Assisted Electrodes Movement
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Novel images extraction model using improved delay vector variance feature extraction and multi-kernel neural network for EEG detection and prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Advanced intelligent methodologies could help detect and predict diseases from the EEG signals in cases the manual analysis is inefficient available, for instance, the epileptic seizures detection and prediction. This is because the diver...
Humans Neural Networks, Computer Algorithms Electroencephalography Epilepsy Signal Processing, Computer-Assisted
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