Applications of sparse recovery and dictionary learning to enhance analysis of ambulatory electrodermal activity data.
Biomedical Signal Processing and Control(2018)
摘要
•An expanded data driven dictionary improves performance of SCR identification.•The tonic level can be efficiently removed using minima spaced 1s apart.•A novel EDA analysis method is proposed and performance evaluated.•EDA analysis systems are discussed and compared to our novel approach.•Classification accuracy between artifacts and SCRs is used to show seperability.
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关键词
Skin conductance response,Electrodermal activity,Sparse recovery,Orthogonal matching pursuit,Artifact detection
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