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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.
The EEG proved to be a useful source in recording brain activity over the ensuing decades. However, it tended to be very difficult to assess the highly specific neural process that are the focus of cognitive neuroscience because using pure EEG data made it difficult to isolate individual neurocognitive processes. Event-related potentials (ERPs ...
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 ...
Electrode locations of International 10-20 system for encephalography recording. The 10–20 system or International 10–20 system is an internationally recognized method to describe and apply the location of scalp electrodes in the context of an EEG exam, polysomnograph sleep study, or voluntary lab research.
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.
Amplitude integrated electroencephalography (aEEG), cerebral function monitoring (CFM) or continuous electroencephalogram (CEEG) is a technique for monitoring brain function in intensive care settings over longer periods of time than the traditional electroencephalogram (EEG), typically hours to days.
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As of 2012, EEG headsets ranged from simple dry single-contact devices to more elaborate 16-contact, wetted contacts, and output devices included toys like a tube containing a fan that blows harder or softer depending on how hard the user concentrates which in turn moved a ping-pong ball, video games, or a video display of the EEG signal. [1] [2]