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EDA-Gram: Designing Electrodermal Activity Fingerprints for Visualization and Feature Extraction
Wearable technology permeates every aspect of our daily life increasing the need of reliable and interpretable models for processing the large amount of biomedical data. We propose the EDA-Gram, a multidimensional fingerprint of the electrodermal activity (EDA) signal, inspired by the widely-used no...
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| Veröffentlicht in: | Conf Proc IEEE Eng Med Biol Soc |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7285921/ https://ncbi.nlm.nih.gov/pubmed/28268358 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2016.7590725 |
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