Positioning and averaging of phonocardiographic signals based on the matching pursuit method
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作者:
Zhang, Zuxing
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机构:
Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R ChinaYunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
Zhang, Zuxing
[1
]
Tang, Yibin
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机构:
Kunming Univ Sci & Technol, Wuhua Qu 650093, Peoples R ChinaYunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
Tang, Yibin
[2
]
Yang, Xiumei
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机构:
Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R ChinaYunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
Yang, Xiumei
[1
]
Liu, Jun
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机构:
Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R ChinaYunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
Liu, Jun
[1
]
Fang, Libin
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机构:
Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R ChinaYunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
Fang, Libin
[1
]
Ji, Yuanxia
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Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R ChinaYunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
Ji, Yuanxia
[1
]
Wang, Weilian
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机构:
Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R ChinaYunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
Wang, Weilian
[1
]
机构:
[1] Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
[2] Kunming Univ Sci & Technol, Wuhua Qu 650093, Peoples R China
来源:
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS
|
2006年
关键词:
phonocardiogram;
matching pursuit method;
heart sound;
positioning and averaging;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Heart sounds are highly valuable to cardiovascular diseases in clinical diagnoses. So the analysis of Phonocardiogram (PCG) is helpful in the field. It is significant to position heart sounds in time domain accurately and automatically. A time-frequency transformation based on Matching Pursuit Method (MPM) is developed for the PCG. The method was applied to 60 cardiac cycles. It positioned the first (S1) and the second (S2) heart sounds automatically. Also their averages were calculated. The results show that MPM gives a correct detection rate up to 93.3%. The processing is real-time. The method can eliminate Electrocardiogram (ECG) as time-reference signal and reduce hardware overheads. It is independent of subjective human judgement and robust to artifacts, background noise and other interferences.