HIGHLIGHTS
- who: Eglu0117 Butkeviu010diu016btu0117 and collaborators from the Department of Software Engineering, University of Technology, Studentu Str, have published the article: ECG Signal Features Classification for the Mental Fatigue Recognition, in the Journal: Mathematics 2022, 10, 3395. of /2022/
- what: In this paper a novel approach is presented that combines electrocardiogram (ECG) signal feature extraction principal component analysis (PCA) and classification using machine learning algorithms. This work shows the feasibility of signal feature extraction for automatic detection. The aim of this paper is to determine whether ECG signal features reveal differences in mental states. Because HRV . . .
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