Abedi, Z., Naghavi, N., & Rezaeitalab, F. (2017). Detection and classification of sleep apnea using genetic algorithms and SVM‐based classification of thoracic respiratory effort and oximetric signal features. Computational intelligence, 33(4), 1005-1018. https://doi.org/10.1111/coin.12138
Chicago Style (17th ed.) CitationAbedi, Zahra, Nadia Naghavi, and Fariborz Rezaeitalab. "Detection and Classification of Sleep Apnea Using Genetic Algorithms and SVM‐based Classification of Thoracic Respiratory Effort and Oximetric Signal Features." Computational Intelligence 33, no. 4 (2017): 1005-1018. https://doi.org/10.1111/coin.12138.
MLA (9th ed.) CitationAbedi, Zahra, et al. "Detection and Classification of Sleep Apnea Using Genetic Algorithms and SVM‐based Classification of Thoracic Respiratory Effort and Oximetric Signal Features." Computational Intelligence, vol. 33, no. 4, 2017, pp. 1005-1018, https://doi.org/10.1111/coin.12138.