Name
Abstract | ||
|---|---|---|
This paper analyzed the electrocardiograms obtained from workers with different proficient levels and considered the stress index. As an example of a simple work, we analyzed the process of combining three cases (Case combination) and the step of inserting nine parts (DIP insertion) into the foundation. We have classified the subjects as beginners and experienced groups with different levels of proficiency, and performed frequency analysis on electrocardiograms measured during each process. Following that we calculated the heart heat interval time R-R interval (RRI) from the measurement result and calculated low-frequency (LF) and high-frequency (HF) by PSD estimation. Moreover, we calculated the ratio LF/ HF of sympathetic activity (LF) and parasympathetic activity (HF), and compared it with those of beginners and experts. As a result, we confirmed that the value of LF/HF during work based on beginner's resting time was larger than that of experienced person. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICMLC48188.2019.8949285 | PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC) |
Keywords | Field | DocType |
Heart rate variability, Proficient level, ECG, Stress | Pattern recognition,Heart beat,Heart rate variability,Computer science,Internal medicine,Cardiology,Resting time,Artificial intelligence,Stress assessment,Stress index,Frequency analysis | Conference |
ISSN | Citations | PageRank |
2160-133X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Momoka Fujimoto | 1 | 0 | 0.34 |
| Hiroshi Nakajima | 2 | 89 | 12.41 |
| Yasuyo Kotake | 3 | 2 | 1.72 |
| Danni Wang | 4 | 0 | 1.69 |
| Yutaka Hata | 5 | 404 | 97.09 |