Zhang, N.; Pan, Q.; Yang, S.; Huang, L.; Yin, J.; Lin, H.; Huang, X.; Ding, C.; Zou, X.; Zheng, Y.;
et al. Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis. Biosensors 2025, 15, 442.
https://doi.org/10.3390/bios15070442
AMA Style
Zhang N, Pan Q, Yang S, Huang L, Yin J, Lin H, Huang X, Ding C, Zou X, Zheng Y,
et al. Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis. Biosensors. 2025; 15(7):442.
https://doi.org/10.3390/bios15070442
Chicago/Turabian Style
Zhang, Nanxiang, Qi Pan, Shuo Yang, Leen Huang, Jianan Yin, Hai Lin, Xiang Huang, Chonglong Ding, Xinyan Zou, Yongjun Zheng,
and et al. 2025. "Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis" Biosensors 15, no. 7: 442.
https://doi.org/10.3390/bios15070442
APA Style
Zhang, N., Pan, Q., Yang, S., Huang, L., Yin, J., Lin, H., Huang, X., Ding, C., Zou, X., Zheng, Y., & Zhang, J.
(2025). Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis. Biosensors, 15(7), 442.
https://doi.org/10.3390/bios15070442
