Automatic identification of artifacts in electrodermal activity data

Automatic identification of artifacts in electrodermal activity data

Recently, wearable devices have allowed for long term, ambulatory measurement of electrodermal activity (EDA). Despite the fact that ambulatory recording can be noisy, and recording artifacts can easily be mistaken for a physiological response during analysis, to date there is no automatic method fo...

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Bibliographic Details
Main Authors: Taylor, Sara Ann (Contributor), Jaques, Natasha Mary (Contributor), Chen, Weixuan (Contributor), Fedor, Szymon (Contributor), Sano, Akane (Contributor), Picard, Rosalind W. (Contributor)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2016-07-20T19:07:13Z.
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