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Fast statistical model-based classification of epileptic EEG signals
(Elsevier, 2018-01)
This paper presents a supervised classification method to accurately detect epileptic brain activity in real-time from electroencephalography (EEG) data. The proposed method has three main strengths: it has low computational ...
Artefacts Detection in EEG Signals
(2021)
Abstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical
modality that is used to measure brain activity in order to diagnose different neurological
pathologies and plan treatment. ...
NEUROBOX: Suite para control de experimentos EEG.NEUROBOX: Suite for EEG experiments control
(Barranquilla, Universidad del Norte, 2023, 2023)
EEG de ocho canalesEight channel EEG
(Barranquilla, Universidad del Norte,2019, 2019)
Adaptive Filtering for Epileptic Event Detection in the EEG
(Institute of Biomedical Engineering, 2019-12)
Purpose The development of online seizure detection techniques as well as prediction methods are very critical. Patient quality of life could improve signifcantly if the beginning of a seizure could be predicted or detected ...
Influence of EEG channel reduction on lower limb motor imagery during electrical stimulation in healthy and paraplegic subjects
(2022-01-01)
Purpose: Among a wide range of applications that make use of Brain-Computer Interfaces (BCIs), the pattern recognition of motor imagery (MI) to trigger neuromodulation systems in the control of functional movements has ...