Fetal Movement Identification from Multi-Accelerometer Measurements using Recurrent Neural Networks
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9660619/9660632/09660747.pdf?arnumber=9660747
Reference13 articles.
1. Fetal Movement Detection using Long Short-Term Memory Network
2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
3. Empirical evaluation of gated recurrent neural networks on sequence modeling;chung;arXiv preprint arXiv 1412 3555,2014
4. Understanding deep learning (still) requires rethinking generalization
5. Performance of a wearable acoustic system for fetal movement discrimination
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Fetal Movement Identification Using Spectrograms with Attention Aided Models and Identifying a Set of Correlating Parameters with Gestational Age;2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS);2023-08-25
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