Name
Abstract | ||
|---|---|---|
Sleep stage judgement is not easy because it is difficult to measure biological signals. In addition, most people don’t know how to judge sleep stage. Therefore, this paper describes a method for estimation sleep stage using only an ECG. The used parameters from ECG was Poincare plot and DFA. The estimation model was decision tree. As a result, the best score achieved 74% accuracy. The accuracy of all other subjects achieved above 60%. The precision of WAKE and LIGHT all exceeded 50%. The estimation of REM was not working, but we are considering the accuracy is further improved by using the processing of individual differences and frequency analysis. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/BIBM49941.2020.9313279 | BIBM |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hirotaka Matsumoto | 1 | 0 | 0.34 |
| Shima Okada | 2 | 0 | 0.34 |
| Tianyi Wang | 3 | 0 | 0.34 |
| Makikawa Masaaki | 4 | 0 | 0.34 |