Source – https://www.aiin.healthcare/ Researchers have demonstrated that deep learning models can help neurologists interpret epileptic episodes during and between seizures from relatively few scalp electroencephalography (EEG) readings. The best of the models proved out the concept under review: an automated annotation tool needing 142 times less EEG data than human experts would need to comb Read More

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Source: techxplore.com Recent advances in machine learning have enabled the development of techniques to detect and recognize human emotions. Some of these techniques work by analyzing electroencephalography (EEG) signals, which are essentially recordings of the electrical activity of the brain collected from a person’s scalp. Most EEG-based emotion classification methods introduced over the past decade Read More

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Artificial Intelligence