Use of multiscale entropy to facilitate artifact detection in electroencephalographic signals.
Sara MarianiAna F. T. BorgesTeresa HenriquesAry L. GoldbergerMadalena D. CostaPublished in: EMBC (2015)
Keyphrases
- multiscale
- eeg signals
- image processing
- detection algorithm
- detection method
- signal detection
- object detection
- signal processing
- false positives
- low signal to noise ratio
- false alarms
- canny edge detection
- eeg data
- wavelet transform
- edge detection
- data sets
- anomaly detection
- spectrum sensing
- face recognition
- fuzzy entropy
- color images
- translation invariant
- noisy environments
- detection accuracy
- mutual information
- affine invariant
- wavelet domain
- automatic detection
- detection rate
- independent component analysis
- event detection