Cite
Automatic classification of regular and irregular capnogram segments using time- and frequency-domain features: A machine learning-based approach.
MLA
El-Badawy, Ismail M., et al. “Automatic Classification of Regular and Irregular Capnogram Segments Using Time- and Frequency-Domain Features: A Machine Learning-Based Approach.” Technology & Health Care, vol. 29, no. 1, Jan. 2021, pp. 59–72. EBSCOhost, https://doi.org/10.3233/THC-202198.
APA
El-Badawy, I. M., Singh, O. P., & Omar, Z. (2021). Automatic classification of regular and irregular capnogram segments using time- and frequency-domain features: A machine learning-based approach. Technology & Health Care, 29(1), 59–72. https://doi.org/10.3233/THC-202198
Chicago
El-Badawy, Ismail M., Om Prakash Singh, and Zaid Omar. 2021. “Automatic Classification of Regular and Irregular Capnogram Segments Using Time- and Frequency-Domain Features: A Machine Learning-Based Approach.” Technology & Health Care 29 (1): 59–72. doi:10.3233/THC-202198.