Sensory Nerve Conduction System with Non-invasive Glucose Monitoring Using Iot-Based Assessment
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7982-8_10
Reference13 articles.
1. Arbi KF, Soulimane O, Saffih F (2020) IoT technologies combining glucose control with physiological signal: comparative study. In: 2020 international conference on electrical engineering (ICEE), pp 1–6. https://doi.org/10.1109/ICEE49691.2020.9249843
2. Lu D et al (2021) xTSeH: a trusted platform module sharing scheme towards smart IoT-eHealth devices. IEEE J Sel Areas Commun 39(2):370–383. https://doi.org/10.1109/JSAC.2020.3020658
3. Mia MMH, Mahfuz N, Habib MR, Hossain R (2021) An internet of things application on continuous remote patient monitoring and diagnosis. In: 2021 4th international conference on bio-engineering for smart technologies (BioSMART), pp 1–6. https://doi.org/10.1109/BioSMART54244.2021.9677715
4. Kuang L, Zhu T, Li K, Daniels J, Herrero P, Georgiou P (2021) Live demonstration: an IoT wearable device for real-time blood glucose prediction with edge AI. In: 2021 IEEE biomedical circuits and systems conference(BioCAS), pp 01–01. https://doi.org/10.1109/BioCAS49922.2021.9644975
5. Vidhya H, Inbamani A, Lingeswaran S, Abishek R, Harish R, Kishor K (2021) Internet of medical things applications for healthcare industry. In: 2021 IEEE international conference on mobile networks and wireless communications (ICMNWC), pp 1–6. https://doi.org/10.1109/ICMNWC52512.2021.9688401
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