Heart sound segmentation algorithm based on heart sound envelogram
被引:262
作者:
Liang, H
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机构:
Helsinki Univ Technol, Signal Proc & Comp Technol Lab, FIN-02015 Hut, FinlandHelsinki Univ Technol, Signal Proc & Comp Technol Lab, FIN-02015 Hut, Finland
Liang, H
[1
]
Lukkarinen, S
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机构:
Helsinki Univ Technol, Signal Proc & Comp Technol Lab, FIN-02015 Hut, FinlandHelsinki Univ Technol, Signal Proc & Comp Technol Lab, FIN-02015 Hut, Finland
Lukkarinen, S
[1
]
Hartimo, I
论文数: 0引用数: 0
h-index: 0
机构:
Helsinki Univ Technol, Signal Proc & Comp Technol Lab, FIN-02015 Hut, FinlandHelsinki Univ Technol, Signal Proc & Comp Technol Lab, FIN-02015 Hut, Finland
Hartimo, I
[1
]
机构:
[1] Helsinki Univ Technol, Signal Proc & Comp Technol Lab, FIN-02015 Hut, Finland
来源:
COMPUTERS IN CARDIOLOGY 1997, VOL 24
|
1997年
/
24卷
关键词:
D O I:
10.1109/CIC.1997.647841
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
The segmentation algorithm, which separates the heart sound signal into four parts: the first heart sound, the systole, the second heart sound and the diastole, is developed. The segmentation of phonocardiogram signal is the first step of analysis and the most important procedure in the automatic diagnosis of heart sounds. This algorithm is based on the normalized average Shannon energy of PCG signal. The performance of the algorithm has been evaluated using 515 periods of PCG signal recording from 37 objects including normal and abnormal. The algorithm has shown 93 percent correct ratio.