Continuous wavelet transform based method for detection of arousal

• Published in: 2017 25th Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4
• Main Authors: Kantar, Tugce, Erdamar, Aykut
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2017
• Subjects: arousal; automatic detection; Continuous wavelet transforms; EEG; Electroencephalography; Heart; Microstructure; Sleep; SVM

Sleeping is a vital biological requirement in the homeostatic mechanism. Sleep disorders can cause personal health problems and life quality deterioration. Transient waveforms (k-complexes, sleep spindles, arousal, etc.) happens instantaneously in sleep, have distinctive structural features, amplitu...