Automatic and Unsupervised Snore Sound Extraction From Respiratory Sound Signals - Azarbarzin, Ali; Moussavi, Zahra M. K. (IEEE transactions on biomedical engineering, 2011)
Keywords: Acoustic noise; Airway management; Algorithms; Ambient recording; Applied sciences; Cardiovascular diseases; Cluster Analysis; Clustering algorithms; Detection algorithms; Exact sciences and technology; Feature extraction; Female; Fuzzy Logic; Hidden Markov models; Humans; Information, signal and communications theory; Male; Microphones; Middle Aged; Patient monitoring; Pattern Recognition, Automated - methods; Polysomnography - methods; Principal Component Analysis; Principal components analysis; Reproducibility of Results; respiratory sound analysis; Signal and communications theory; Signal Processing, Computer-Assisted; Signal representation. Spectral analysis; Signal, noise; Sleep apnea; Sleep Apnea Syndromes - physiopathology; snore sounds; Snoring - diagnosis; Snoring - physiopathology; Sound Spectrography - methods; Studies; Telecommunications and information theory; Trachea; tracheal recording; unsupervised clustering; tracheal recording; Acoustic signal; Ambient recording; Unsupervised classification; unsupervised clustering; Respiratory system; Signal classification; snore sounds; Respiratory tract; respiratory sound analysis; Audio signal; Sound analysis; Recording; Trachea; Biomedical engineering