Hirono, Y.; Sato, I.; Kai, C.; Yoshida, A.; Kodama, N.; Uchida, F.; Kasai, S.
The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals. Bioengineering 2024, 11, 658.
https://doi.org/10.3390/bioengineering11070658
AMA Style
Hirono Y, Sato I, Kai C, Yoshida A, Kodama N, Uchida F, Kasai S.
The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals. Bioengineering. 2024; 11(7):658.
https://doi.org/10.3390/bioengineering11070658
Chicago/Turabian Style
Hirono, Yuta, Ikumi Sato, Chiharu Kai, Akifumi Yoshida, Naoki Kodama, Fumikage Uchida, and Satoshi Kasai.
2024. "The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals" Bioengineering 11, no. 7: 658.
https://doi.org/10.3390/bioengineering11070658
APA Style
Hirono, Y., Sato, I., Kai, C., Yoshida, A., Kodama, N., Uchida, F., & Kasai, S.
(2024). The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals. Bioengineering, 11(7), 658.
https://doi.org/10.3390/bioengineering11070658
