Name
Abstract | ||
|---|---|---|
Recent research has indicated a significant association between depression and fatigue. To analyze depression and fatigue, an experiment was conducted that provided the subjects with affective content to induce a variety of emotions and heart rate variability (HRV). This paper presents a mental-physical model that describes the relationship between depression and fatigue by using a neuro-fuzzy network with a weighted fuzzy membership function using two time-domain and four frequency-domain features of HRV. HRV data were collected from 24 patients. At the end of the experiment, we determined the relationship between depression and fatigue with the mental-physical model, and our analysis results had an accuracy of 95.8 %. © 2013 Springer Science+Business Media. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-94-007-5860-5_97 | Lecture Notes in Electrical Engineering |
Keywords | Field | DocType |
depression,electroencephalography (eeg),fatigue,heart rate variability (hrv),mental-physical,takagi-sugeno defuzzification | Clinical psychology,Heart rate variability,Psychology,Fuzzy membership function,Affect (psychology) | Conference |
Volume | Issue | ISSN |
215 LNEE | null | 18761119 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue-Wei Tian | 1 | 1 | 1.70 |
| Zhen-Xing Zhang | 2 | 6 | 4.13 |
| Sang-hong Lee | 3 | 72 | 11.96 |
| Hee-Jin Yoon | 4 | 0 | 0.34 |
| Joon S. Lim | 5 | 99 | 12.15 |