https://www.selleckchem.com/pr....oducts/PF-2341066.ht
5 % in association with emotional stress. This paper showed that features extracted from HRV can detect the stress and non-stress stages with high significance. Also, the accuracy of this paper proved that the proposed method is successful in preventing the dangerous effects of different types of stress on the heart (Tab. 5, Fig. 6, Ref. 34). Text in PDF www.elis.sk Keywords stress, heart rate variability, non-linear features, convolutional neural network, classification. This paper showed that features extracted from HRV can detect
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