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Detection and classification of sleep apnea using genetic algorithms and SVM-based classification of thoracic respiratory effort and oximetric signal features.

Authors : Abedi, Zahra¹; Naghavi, Nadia¹ ; Rezaeitalab, Fariborz²

Subjects: SLEEP apnea syndromes; GENETIC algorithms; RESPIRATION

Source: Computational Intelligence. Nov2017, Vol. 33 Issue 4, p1005-1018. 14p.

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Non-contact diagnostic system for sleep apnea-hypopnea syndrome based on amplitude and phase analysis of thoracic and abdominal Doppler radars.

Authors : Kagawa, Masayuki¹ ; Tojima, Hirokazu²; Matsui, Takemi¹

Subjects: *STATISTICAL correlation; *RESEARCH; *TELECOMMUNICATION

Source: Medical & Biological Engineering & Computing. May2016, Vol. 54 Issue 5, p789-798. 10p.

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Engineering better sleep.

Authors : Chervin, Ronald¹ ; Burns, Joseph²

Subjects: *ENGINEERS; HYPNOTICS; INTERDISCIPLINARY education

Source: Medical & Biological Engineering & Computing. Jun2011, Vol. 49 Issue 6, p623-625. 3p.

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