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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 장전수학회 Proceedings of the Jangjeon Mathematical Society Proceedings of the Jangjeon Mathematical Society Vol.21 No.4
- 발행연도
- 2018.1
- 수록면
- 765 - 778 (14page)
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초록· 키워드
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Electrocardiogram (ECG) is the electrical activity of the heart. It consists of P-wave, QRS complex and T-wave. Each beat shows electrical impulse propagation in the heart of the body. Due to higher dimension of ECG signal, its analysis needs dimension reduction tech- niques for pre-processing of the data. In this paper, authors proposed Factor Analysis (FA) and Principal Component Analysis (PCA) for re- ducing dimension of the ECG signal. The choice of its usage depends on problem which is clearly known and speci ed. Physionet ECG data- base (MIT-BIH long term ECG database, Ventricular Tachyarrhythmia, AHA(American Heart Association) Database) and real time ECG data- base has been used in this paper for checking detector performance using FA and PCA. PCA gave better results than FA. SNR (Signal to Noise Ratio) is also checked and calculated that is 93.25 dB and 91.25 dB for PCA and FA respectively. Di erent work proposed by di erent authors on ECG signal classification has been compared.
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등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
C.Bakir / 2015 / Classzfication of ECG Signals By the Neighborhood Feature Extraction Method / Balkan Journal of Electrical and Computer Engineering 3
Z. Zidelmal / 2012 / QRS detection based on wavelet coefficients / computer methods and programs in biomedicine 107:490496
I. Saini / 2013 / QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases / Journal of Advanced Research (4):331344
N. Maglaveras / 1998 / ECG pattern recognition and classification using non-linear transformations and neural networks, A review / International Journal of Medical Informatics 52:191~208
M. Zivanovic et.al / 2013 / Simultaneous powerline interference and baseline wander removalfrom ECG and EMG signals by sinusoidal modelling / Medical Engineering and Physics 35:1431~1441
Z. Zidelmal / 2012 / QRS detection based on wavelet coefficients / computer methods and programs in biomedicine 107:490496
I. Saini / 2013 / QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases / Journal of Advanced Research (4):331344
N. Maglaveras / 1998 / ECG pattern recognition and classification using non-linear transformations and neural networks, A review / International Journal of Medical Informatics 52:191~208
M. Zivanovic et.al / 2013 / Simultaneous powerline interference and baseline wander removalfrom ECG and EMG signals by sinusoidal modelling / Medical Engineering and Physics 35:1431~1441
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