Abstract
This paper presents the Electronic Tongues Data Analytics (ETDA) tool for automatically extracting the relevant features from data obtained from an electronic tongue (e-Tongue) system based on impedance spectroscopy measurements. The tool was implemented in Python and was created to assist with the development of e-Tongues. This tool helps to quickly visualize the data from the experiments and can automatically create and calibrate the Principal Components Analysis (PCA) to fit the concentrations of a determined molecule present in the complex media.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2023 |
| Place of Publication | Massachusetts |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 26-30 |
| Number of pages | 5 |
| ISBN (Electronic) | 979-8-3503-0042-0 |
| ISBN (Print) | 979-8-3503-0043-7 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 International Young Engineers Forum in Electrical and Computer Engineering - Caparica, Lisbon, Portugal Duration: 7 Jul 2023 → 7 Jul 2023 |
Publication series
| Name | International Young Engineers Forum (YEF-ECE) |
|---|---|
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Conference
| Conference | 2023 International Young Engineers Forum in Electrical and Computer Engineering |
|---|---|
| Abbreviated title | YEF-ECE 2023 |
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 7/07/23 → 7/07/23 |
Keywords
- automatization
- big data
- data analysis
- e-Tongues
- PCA
- python
- software