Comparing Time and Frequency Domain Heart Rate Variability for Deep Learning-Based Glucose Detection

Author:

Shaqiri ErvinORCID,Gusev MarjanORCID,Poposka LidijaORCID,Vavlukis MarijaORCID,Ahmeti Irfan

Publisher

Springer International Publishing

Reference14 articles.

1. Abadi, M., et al.: TensorFlow: a system for large-scale machine learning. In: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2016), pp. 265–283 (2016)

2. Ballinger, B., et al.: Deepheart: semi-supervised sequence learning for cardiovascular risk prediction. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32 (2018)

3. Chollet, F., et al.: Keras: The Python Deep Learning Library. Astrophysics Source Code Library pp. ascl-1806 (2018)

4. Dürr, O., Pauchard, Y., Browarnik, D., Axthelm, R., Loeser, M.: Deep learning on a raspberry pi for real time face recognition. In: Eurographics (Posters), pp. 11–12 (2015)

5. Gusev, M., et al.: Noninvasive glucose measurement using machine learning and neural network methods and correlation with heart rate variability. J. Sens. 2020 (2020)

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