Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution

• Published in: IEEE journal of biomedical and health informatics Vol. 22; no. 5; pp. 1385 - 1394
• Main Authors: Hernando-Gallego, Francisco, Luengo, David, Artes-Rodriguez, Antonio
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Conductance; Deconvolution; Electro dermal activity (EDA); Estimation; Feature extraction; Galvanic skin response; Galvanic Skin Response (GSR); Informatics; non-negative deconvolution; Physiology; Resistance; Skin; sparse approximation; Sparse matrices; sympathetic nervous system (SNS); wearable sensors

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...