Name
Abstract | ||
|---|---|---|
The secular outcome of our investigation is development of new monitoring service for glucose control related to diabetes. It is based on the main results of research: 1) New innovative wearable sensor that carry non-invasive measurement of glucose level. Sensor uses several independent technologies, simultaneously: radio frequency with different levels of signal, ultrasonic, electromagnetic and thermal; 2) Special mobile application as the principal interface monitor for personal usage; 3) The unique proprietary algorithm, based on neural net, which calculates the weighted average and returns the user's glucose level. The algorithm precises the results of measurements, based on genetic neural net ideas; 4) Special designed Data Base Storage in our cloud software specialized for gathering information and giving the predictions for patient. All results together makes the essence of the research. |
Year | Venue | Field |
|---|---|---|
2017 | East-West Design & Test Symposium | Ultrasonic sensor,Computer science,Wearable computer,Real-time computing,Electronic engineering,Software,Artificial neural network,Genetic algorithm,Cloud computing |
DocType | ISSN | Citations |
Conference | 2373-826X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. Kascheev | 1 | 0 | 1.35 |
| Oleg Kozyrev | 2 | 0 | 0.68 |
| Maxim Leykin | 3 | 0 | 0.34 |
| Alexey Vanyagin | 4 | 0 | 0.34 |