Title
Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series.
Abstract
This study's aim was to apply permutation entropy (PE) and permutation min-entropy (PME) over an RR interval time series to quantify the changes in cardiac activity among multiple emotional states. Electrocardiogram (ECG) signals were recorded under six emotional states (neutral, happiness, sadness, anger, fear, and disgust) in 60 healthy subjects at a rate of 1000 Hz. For each emotional state, ECGs were recorded for 5 min and the RR interval time series was extracted from these ECGs. The obtained results confirm that PE and PME increase significantly during the emotional states of happiness, sadness, anger, and disgust. Both symbolic quantifiers also increase but not in a significant way for the emotional state of fear. Moreover, it is found that PME is more sensitive than PE for discriminating non-neutral from neutral emotional states.
Year
DOI
Venue
2018
10.3390/e20030148
ENTROPY
Keywords
Field
DocType
permutation entropy,permutation min-entropy,emotion recognition,heart rate variability,electrocardiogram (ECG)
Sadness,Heart rate variability,Disgust,Permutation,Permutation entropy,Anger,Happiness,Statistics,Min entropy,Mathematics
Journal
Volume
Issue
ISSN
20
3
1099-4300
Citations 
PageRank 
References 
2
0.36
11
Authors
6
Name
Order
Citations
PageRank
Yirong Xia120.70
Licai Yang2154.16
Luciano Zunino3394.83
Hongyu Shi420.70
Yuan Zhuang565.84
Chengyu Liu63518.50