Detection of epileptic convulsions from accelerometry signals through machine learning approach.
Milica MilosevicAnouk Van de VelBert BonroyBerten CeulemansLieven LagaeBart VanrumsteSabine Van HuffelPublished in: MLSP (2014)
Keyphrases
- machine learning
- epileptic seizures
- automatic detection
- detection method
- detection rate
- machine learning algorithms
- object detection
- low signal to noise ratio
- detection accuracy
- machine learning methods
- detection algorithm
- false positives
- eeg signals
- knowledge acquisition
- artificial intelligence
- pattern recognition
- computer vision
- machine learning approaches
- signal processing
- phase locked
- continuous wavelet transform
- learning algorithm
- signal detection
- learning tasks
- data mining
- supervised learning
- active learning
- false alarms
- image processing
- independent component analysis
- brain activity
- knowledge discovery
- matched filter
- information extraction
- weak signal
- text classification