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  2. Extreme learning machine - Wikipedia

    en.wikipedia.org/wiki/Extreme_learning_machine

    Extreme learning machines are feedforward neural networks for classification, regression, clustering, sparse approximation, compression and feature learning with a single layer or multiple layers of hidden nodes, where the parameters of hidden nodes (not just the weights connecting inputs to hidden nodes) need to be tuned.

  3. 10–20 system (EEG) - Wikipedia

    en.wikipedia.org/wiki/10–20_system_(EEG)

    EEG electrode positions in the 10-10 system using modified combinatorial nomenclature, along with the fiducials and associated lobes of the brain. When recording a more detailed EEG with more electrodes, extra electrodes are added using the 10% division , which fills in intermediate sites halfway between those of the existing 10–20 system.

  4. Long-term video-EEG monitoring - Wikipedia

    en.wikipedia.org/wiki/Long-term_video-EEG_monitoring

    Long-term or "continuous" video-electroencephalography (EEG) monitoring is a diagnostic technique commonly used in patients with epilepsy.It involves the long-term hospitalization of the patient, typically for days or weeks, during which brain waves are recorded via EEG and physical actions are continuously monitored by video.

  5. Beacon Biosignals Reports Novel Sleep EEG Results from ...

    lite.aol.com/tech/story/0022/20241212/9318697.htm

    Beacon Biosignals is a health technology company transforming the development of treatments for neurological, psychiatric, and sleep disorders. Leveraging advanced machine learning, wearable EEG devices, and large real-world neurophysiology datasets, Beacon accelerates insights into brain activity to improve patient outcomes.

  6. Electroencephalography - Wikipedia

    en.wikipedia.org/wiki/Electroencephalography

    In research, currently EEG is often used in combination with machine learning. [124] EEG data are pre-processed then passed on to machine learning algorithms. These algorithms are then trained to recognize different diseases like schizophrenia, [125] epilepsy [126] or dementia. [127] Furthermore, they are increasingly used to study seizure ...

  7. EEG analysis - Wikipedia

    en.wikipedia.org/wiki/EEG_analysis

    EEG-based BCI approaches, together with advances in machine learning and other technologies such as wireless recording, aim to contribute to the daily lives of people with disabilities and significantly improve their quality of life. [29] Such an EEG-based BCI can help, e.g., patients with amyotrophic lateral sclerosis, with some daily activities.

  8. Burst suppression - Wikipedia

    en.wikipedia.org/wiki/Burst_suppression

    A paper published in 2023 showed that burst suppression and epilepsy may share the same ephaptic coupling mechanism. [6] When inhibitory control is sufficiently low, as in the case of certain general anesthetics such as sevoflurane (due to a decrease in the firing of interneurons [7]), electric fields are able to recruit neighboring cells to fire synchronously, in a burst suppression pattern.

  9. 'Like a horror movie': Photos of Lashawn Thompson's ... - AOL

    www.aol.com/news/horror-movie-photos-lashawn...

    “The cell looked like something out of a horror movie,” he told Yahoo News. Thompson died three months after being booked into the Atlanta facility, which is one of the largest jails in the ...

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