Name
Abstract | ||
|---|---|---|
Wearable sensors are increasingly taking part in daily activities, not only because of the recent society health concern, but also due to their relevance in the medical industry. In this paper, a galvanic skin response (GSR) extraction technique has been developed in order to interpret electrodermal activity (EDA) records, which can be useful both for ambulatory and health applications. The core o... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JBHI.2017.2780252 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Skin,Deconvolution,Informatics,Feature extraction,Estimation,Physiology,Sparse matrices | Codebase,Computer vision,Pattern recognition,Wearable computer,Computer science,Sampling (signal processing),Deconvolution,Feature extraction,Artificial intelligence,Sparse matrix,Skin conductance | Journal |
Volume | Issue | ISSN |
22 | 5 | 2168-2194 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Hernando-Gallego | 1 | 1 | 0.69 |
| David Luengo | 2 | 230 | 25.55 |
| Antonio Artés-Rodríguez | 3 | 206 | 34.76 |