Abstract
In the last years attempts to develop a non-invasive glucose system based on the glucose levels in sweat have been studied. In this paper, 32 metal oxide semiconductor (MOS) sensors operating at different temperatures have been used to develop a multisensor olfactory system that allows to study the glucose levels in sweat. In order to develop repeatable experiments, artificial sweat at different glucose concentrations were developed in the laboratory. The obtained results suggest high viability of the approach. Although, the sensitivity of the sensors system needs to be improved
Original language | English |
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Title of host publication | 35th Annual International Conference of the IEEE EMBS Osaka, Japan, 3 - 7 July, 2013 |
Pages | 1462-1465 |
Number of pages | 4 |
Volume | 2013 |
Publication status | Published - 3 Jul 2013 |
Event | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013 |
Conference
Conference | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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Country | Japan |
City | Osaka |
Period | 3/07/13 → 7/07/13 |
Keywords
- Biomedical signal classification
- Signal processing in physiological systems
- Data mining in biosignals