APA (7th ed.) Citation

Nezamabadi, K., Mayfield, J., Li, P., Greenland, G. V., Rodriguez, S., Simsek, B., . . . Abraham, M. R. (2022). Toward ECG-based analysis of hypertrophic cardiomyopathy: A novel ECG segmentation method for handling abnormalities. Journal of the American Medical Informatics Association, 29(11), 1879. https://doi.org/10.1093/jamia/ocac122

Chicago Style (17th ed.) Citation

Nezamabadi, Kasra, Jacob Mayfield, Pengyuan Li, Gabriela V. Greenland, Sebastian Rodriguez, Bahadir Simsek, Parvin Mousavi, Hagit Shatkay, and M Roselle Abraham. "Toward ECG-based Analysis of Hypertrophic Cardiomyopathy: A Novel ECG Segmentation Method for Handling Abnormalities." Journal of the American Medical Informatics Association 29, no. 11 (2022): 1879. https://doi.org/10.1093/jamia/ocac122.

MLA (9th ed.) Citation

Nezamabadi, Kasra, et al. "Toward ECG-based Analysis of Hypertrophic Cardiomyopathy: A Novel ECG Segmentation Method for Handling Abnormalities." Journal of the American Medical Informatics Association, vol. 29, no. 11, 2022, p. 1879, https://doi.org/10.1093/jamia/ocac122.