Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds.

MLA

Grooby, Ethan, et al. “Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2022, July 2022, pp. 4996–99. EBSCOhost, https://doi.org/10.1109/EMBC48229.2022.9871449.

APA

Grooby, E., Sitaula, C., Tan, K., Zhou, L., King, A., Ramanathan, A., Malhotra, A., Dumont, G. A., & Marzbanrad, F. (2022). Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022, 4996–4999. https://doi.org/10.1109/EMBC48229.2022.9871449

Chicago

Grooby, Ethan, Chiranjibi Sitaula, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy A Dumont, and Faezeh Marzbanrad. 2022. “Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2022 (July): 4996–99. doi:10.1109/EMBC48229.2022.9871449.