ArticleSensors (Basel, Switzerland)2018
Use of the Stockwell Transform in the Detection of P300 Evoked Potentials with Low-Cost Brain Sensors.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 19 citations in OpenAlex.
- Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning.Sensors (Basel, Switzerland) · 2019Article
- Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy.Frontiers in computational neuroscience · 2019Article
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4 authors at 1 institution in 1 country.
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Abstract
The evoked potential is a neuronal activity that originates when a stimulus is presented. To achieve its detection, various techniques of brain signal processing can be used. One of the most studied evoked potentials is the P300 brain wave, which usually appears between 300 and 500 ms after the stimulus. Currently, the detection of P300 evoked potentials is of great importance due to its unique properties that allow the development of applications such as spellers, lie detectors, and diagnosis of psychiatric disorders. The present study was developed to demonstrate the usefulness of the Stockwell transform in the process of identifying P300 evoked potentials using a low-cost electroencephalography (EEG) device with only two brain sensors. The acquisition of signals was carried out using the Emotiv EPOC
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