Model comparison for the detection of eeg arousals in sleep apnea patients

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5517 LNCS, Issue PART 1, 2009, Pages 997-1004

  Alvarez Estevez D ^a   Moret Bonillo, V ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Arousal; Intelligent algorithms; Sleep apnea hypopnea syndrome

Indexed keywords

AROUSAL; ARTIFICIAL NEURAL NETWORK; DAYTIME SLEEPINESS; INTELLIGENT ALGORITHMS; LEARNING PATTERNS; LEARNING PROCESS; MACHINE-LEARNING; MODEL COMPARISON; SIGNAL PROCESSING TECHNIQUE; SLEEP APNEA; SLEEP APNEA/HYPOPNEA SYNDROME; SLEEP DISORDERS;

BACKPROPAGATION; ELECTROENCEPHALOGRAPHY; NEURAL NETWORKS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES;

SLEEP RESEARCH;

EID: 68749098703     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02478-8_125     Document Type: Conference Paper

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