Name
Title | ||
|---|---|---|
A new emotion detection algorithm using extracted features of the different time-series generated from ST intervals Poincaré map. |
Abstract | ||
|---|---|---|
•Introducing a new emotion detection algorithm that can be evaluated simultaneously in both dimensions of the arousal and valence model.•Introducing the 5-different new time-series which extracted from the Poincaré mapping of the RR, QT, and ST Intervals.•Dynamical behavior analysis of the Poincaré map using feature extraction in the time, frequency, time-frequency, and nonlinear analysis domain.•Detecting ST Intervals as most affected intervals of the ECG signals in comparison with RR and QT Intervals with can more be affected in ANS response to emotional stimuli.•The new proposed emotion detection algorithm can also be useful in other behavioral areas such as stress evaluation and sleep monitoring. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2020.101902 | Biomedical Signal Processing and Control |
Keywords | DocType | Volume |
Electrocardiogram (ECG),Emotion detection,Poincaré map,Feature extraction,Pan-Tompkins algorithm | Journal | 59 |
ISSN | Citations | PageRank |
1746-8094 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maryam Baghizadeh | 1 | 0 | 0.34 |
| Keivan Maghooli | 2 | 1 | 4.08 |
| Fardad Farokhi | 3 | 0 | 0.34 |
| Nader Jafarnia Dabanloo | 4 | 0 | 0.68 |