Obstructive sleep apnea detection using SVM-based classification of ECG signal features

Sleep apnea is the instance when one either has pauses of breathing in their sleep, or has very low breath while asleep. This pause in breathing can range in frequency and duration. Obstructive sleep apnea (OSA) is the common form of sleep apnea, which is currently tested through polysomnography (PS...

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Bibliographische Detailangaben
Hauptverfasser:	Almazaydeh, L., Elleithy, K., Faezipour, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Algorithms Diagnosis, Computer-Assisted - methods ECG Electrocardiography Electrocardiography - methods Feature extraction Heart Rate Humans Pattern Recognition, Automated - methods Polysomnography - methods PSG Reproducibility of Results RR interval Sensitivity and Specificity Sleep apnea Sleep Apnea, Obstructive - diagnosis Sleep Apnea, Obstructive - physiopathology Support Vector Machine Support vector machines SVM
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