Name
Title | ||
|---|---|---|
An Explainable Fuzzy Theoretic Nonparametric Deep Model for Stress Assessment Using Heartbeat Intervals Analysis |
Abstract | ||
|---|---|---|
This article presents an explainable fuzzy theoretic nonparametric deep model for an analysis of heart rate variability in application to stress assessment. We are concerned with the development of a model that evaluates and explains a short-time (3–5 min long) heartbeat interval sequence of an individual to estimate the level of acute perceived stress on a numerical scale from 0 to 100 via monito... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TFUZZ.2020.3029284 | IEEE Transactions on Fuzzy Systems |
Keywords | DocType | Volume |
Stress,Heart rate variability,Feature extraction,Analytical models,Data models,Fuzzy sets | Journal | 29 |
Issue | ISSN | Citations |
12 | 1063-6706 | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohit Kumar | 1 | 117 | 12.33 |
| Weiping Zhang | 2 | 49 | 8.30 |
| Matthias Weippert | 3 | 58 | 3.94 |
| Bernhard Freudenthaler | 4 | 15 | 8.75 |