Method for automatic detection of movement-related EEG pattern time boundaries
Abstract
References
Index Terms
- Method for automatic detection of movement-related EEG pattern time boundaries
Recommendations
Extraction and separation of high-amplitude artifacts in electroencephalograms from epileptic patients
BioMed'06: Proceedings of the 24th IASTED international conference on Biomedical engineeringElectroencephalogram (EEG) recordings are often distorted by high-amplitude artifacts which hamper its correct visual inspection. In this work we present a method which can be applied separately to each channel to extract high-amplitude components. The ...
Entropies for detection of epilepsy in EEG
The electroencephalogram (EEG) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about the state of the brain. However, the human observer cannot directly monitor ...
Brain Function Networks Reveal Movement-related EEG Potentials Associated with Exercise-induced Fatigue
SPML '18: Proceedings of the 2018 International Conference on Signal Processing and Machine LearningThe present research was aimed to find out EEG potentials related to movement in exercise-induced fatigue task using brain function network analysis, so that future researchers can find more accurate mutual informations between these potentials to ...
Comments
Information & Contributors
Information
Published In
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Author Tags
Qualifiers
- Research-article
Funding Sources
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in