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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Detaylı Bibliyografya
Yayımlandı:Conf Proc IEEE Eng Med Biol Soc
Asıl Yazarlar: Chaspari, Theodora, Tsiartas, Andreas, Stein Duker, Leah I., Cermak, Sharon A., Narayanan, Shrikanth S.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2016
Konular:
Article
Online Erişim: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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