| Title |
Recognition of Feature Points in ECG and Human Pulse using Wavelet Transform |
| Authors |
길세기(Kil Se-Kee) ; 신동범(Shen Dong-Fan) ; 이응혁(Lee Eung-Hyuk) ; 민홍기(Min Hong-Ki) ; 홍승홍(Hong Seung-Hong) |
| Keywords |
Wavelet ; Feature Points ; Diagnosis Parameters ; ECG ; Human Pulse |
| Abstract |
The purpose of this paper is to recognize the feature points of ECG and human pulse -which signal shows the electric and physical characteristics of heart respectively- using wavelet transform. Wavelet transform is proper method to analyze a signal in time-frequency domain. In the process of wavelet decomposition and reconstruction of ECG and human pulse signal, we removed the noises of signal and recognized the feature points of signal using some of decomposed component of signal. We obtained the result of recognition rate that is estimated about 95.45 % in case of QRS complex, 98.08 % in case of S point and P point and 92.81 % in case of C point. And we computed diagnosis parameters such as RRI, U-time and E-time. |