Litcius/Paper detail

Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals

Asghar Zarei, Babak Mohammadzadeh Asl

2020Biomedical Signal Processing and Control64 citationsDOI

Topics & Concepts

Pattern recognition (psychology)Computer scienceArtificial intelligenceAlphabetFeature extractionSample entropyClassifier (UML)Entropy (arrow of time)Sleep apneaObstructive sleep apneaMedicineCardiologyLinguisticsQuantum mechanicsPhysicsPhilosophyObstructive Sleep Apnea ResearchNon-Invasive Vital Sign MonitoringEEG and Brain-Computer Interfaces
Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals | Litcius