Automatic Sleep Spindle Detection with EEG Based on Complex Demodulation Method and Decision Tree Model
                    
                        
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                    چکیده
منابع مشابه
Automatic Sleep Spindle Detection with EEG Based on Complex Demodulation Method and Decision Tree Model
Sleep spindle is the characteristic waveform of electroencephalogram (EEG) which is important for clinical diagnosis. In this study, an automatic sleep spindle detection method was developed. The EEG signals were recorded based on the standard polysomnogram (PSG) measurement. A preprocessing procedure is introduced to exclude the unnecessary data segments and normalized the necessary data segme...
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A spindle detection method was developed that: (1) extracts the signal of interest (i.e., spindle-related phasic changes in sigma) relative to ongoing "background" sigma activity using complex demodulation, (2) accounts for variations of spindle characteristics across the night, scalp derivations and between individuals, and (3) employs a minimum number of sometimes arbitrary, user-defined para...
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ژورنال
عنوان ژورنال: Journal of Biomedical Science and Engineering
سال: 2017
ISSN: 1937-6871,1937-688X
DOI: 10.4236/jbise.2017.105b002