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Sleep Stage Estimation Using ECG
- Source :
- BIBM
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
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.
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Accession number :
- edsair.doi...........578c09edf840bdd3430168b99d7c3843