Name
Title | ||
|---|---|---|
Psychological stress detection using phonocardiography signal: An empirical mode decomposition approach |
Abstract | ||
|---|---|---|
•ECG and PCG signals are temporally correlated, PCG signal used as an alternative to ECG for psychological stress detection.•The use of subject-specific template analysis to cater to characteristic cardiac behaviour of every individual.•The statistical significance analysis to find features that are significant across subjects.•The comparative analysis identity features that are valuable for both subject-specific analysis and analysis across subjects.•The proposed method performed better than ECG-based LF/HF power ratio method on the available dataset. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.bspc.2018.12.028 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Phonocardiography,Psychological stress,Empirical mode decomposition | Kernel (linear algebra),Signal processing,Analytic signal,Pattern recognition,Support vector machine,Artificial intelligence,Classifier (linguistics),Entropy (information theory),Mathematics,Statistical hypothesis testing,Hilbert–Huang transform | Journal |
Volume | ISSN | Citations |
49 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amandeep Cheema | 1 | 0 | 0.68 |
| Mandeep Singh | 2 | 82 | 16.65 |