Multi-modal multi-scale deep convolutional neural networks for recognizing acceleration and deceleration graphs in intrapartum fetal continuous cardiotocography

Mengxiong Li, Pingao Wang, Xiulan Hao, Xiaohui Tian, Feifei Zhang, Wenhua Zhang, Zhenglin Xiong, Yufang Cui, Jianlan Yin, Michel C. Desmarais et Tian Li

Article de revue (2026)

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Département:	Département de génie informatique et génie logiciel
URL de PolyPublie:	https://publications.polymtl.ca/76147/
Titre de la revue:	Biomedical Signal Processing and Control (vol. 120, no Part B)
Maison d'édition:	Elsevier BV
DOI:	10.1016/j.bspc.2026.110139
URL officielle:	https://doi.org/10.1016/j.bspc.2026.110139
Date du dépôt:	27 avr. 2026 16:53
Dernière modification:	27 avr. 2026 16:53

Citer en APA 7:	Li, M., Wang, P., Hao, X., Tian, X., Zhang, F., Zhang, W., Xiong, Z., Cui, Y., Yin, J., Desmarais, M. C., & Li, T. (2026). Multi-modal multi-scale deep convolutional neural networks for recognizing acceleration and deceleration graphs in intrapartum fetal continuous cardiotocography. Biomedical Signal Processing and Control, 120(Part B), 110139 (15 pages). https://doi.org/10.1016/j.bspc.2026.110139

Citer en APA 7:

Li, M., Wang, P., Hao, X., Tian, X., Zhang, F., Zhang, W., Xiong, Z., Cui, Y., Yin, J., Desmarais, M. C., & Li, T. (2026). Multi-modal multi-scale deep convolutional neural networks for recognizing acceleration and deceleration graphs in intrapartum fetal continuous cardiotocography. Biomedical Signal Processing and Control, 120(Part B), 110139 (15 pages). https://doi.org/10.1016/j.bspc.2026.110139

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