| Title |
Implementation of ECG Data Analysis System using Data Correlation and Moving Average Scheme |
| Authors |
고경남(Kyeong-Nam Ko) ; 황인정(Ein-Jeong Hwang) ; 강문식(Moon-Sik Kang) |
| DOI |
https://doi.org/10.5573/ieie.2020.57.12.33 |
| Keywords |
ECG signal; data correlation; ECG data; R peak; moving average; correlation coefficient |
| Abstract |
In this paper, we propose an efficient ECG analysis scheme that classifies health status by analyzing electrocardiogram(ECG) data. The proposed system is designed to identify non-classified ECG data considering the basic periodicity and data correlation of the ECG signal. The system was implemented to quantify the correlation through correlation analysis, so that it is possible to distinguish between normal and abnormal(Arrhythmia) even in the case of non-classified ECG data. In order to evaluate the performance of the implemented system, a moving average value and a correlation coefficient value were obtained from non-classified ECG sample data, and then the correlation between them was compared and analyzed. The results of this analysis show that the proposed system shows excellent performance. |