Blood glucose estimation based on ECG signal
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s13246-022-01214-3.pdf
Reference32 articles.
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2. Ometov A, Shubina V, Klus L et al (2021) A survey on wearable technology history state-of-the-art and current challenges. Comput Netw. https://doi.org/10.1016/j.comnet.2021.108074
3. Fellah Arbi K, Soulimane S, Saffih F (2020) IoT technologies combining glucose control with physiological signal: comparative study. In: 2020 International Conference on Electrical Engineering (ICEE). IEEE, Istanbul, Turkey, pp 1–6
4. Gusev M, Poposka L, Spasevski G et al (2020) Noninvasive glucose measurement using machine learning and neural network methods and correlation with heart rate variability. J Sens 2020:1–13. https://doi.org/10.1155/2020/9628281
5. Paschou SA, Papadopoulou-Marketou N, Chrousos GP, Kanaka-Gantenbein C (2018) On type 1 diabetes mellitus pathogenesis. Endocr Connect 7:R38–R46. https://doi.org/10.1530/EC-17-0347
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