A Real-Time Weighted-Eigenvector MUSIC Method for Time-Frequency Analysis of Electrogastrogram Slow Wave
Qin SJ(秦书嘉); Miao L(缪磊); Wang YC(王越超); Yang, Chunmin
2010
会议日期August 30 - September 4, 2010
会议地点Buenos Aires, ARGENTINA
关键词Multiple Signal Classification (Music) Time-frequency Analysis Electrogastrogram (Egg) Slow Wave
页码867-870
英文摘要The surface electrogastrogram (EGG) records the electrical slow wave of the stomach noninvasively, whose frequency is a useful clinical indicator of the state of gastric motility. Estimators based on the periodogram method are widely adopted to obtain this parameter. But they are with a poor frequency domain resolution when the data window is short in time-frequency analysis, and have not taken full advantage of the slow wave model. We present a modified multiple signal classification (MUSIC) method for computing the frequency from surface EGG records, developing it into a real-time time-frequency analysis algorithm. Simulations indicate that the modified MUSIC method has better performance in resolution and precision in the sinusoid-like resultant signal frequency detecting than periodogram. Volunteer data tests show that the modified MUSIC method is stable and efficient for clinical applications, and reduces the danger of pseudo peaks for the diagnosis.
源文献作者IEEE Engn Med & Biol Soc (EMBS)
产权排序1
会议录2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号1557-170X
ISBN号978-1-4244-4124-2
WOS记录号WOS:000287964001068
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/8517]  
专题沈阳自动化研究所_机器人学研究室
作者单位1.State Key Lab. of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
2.Graduate School of the Chinese Academy of Sciences, China
3.Department of Electrical and Computer Engineering, Michigan State University, United States
4.Gastrointestinal Department of Air Force General Hospital, Australia
推荐引用方式
GB/T 7714
Qin SJ,Miao L,Wang YC,et al. A Real-Time Weighted-Eigenvector MUSIC Method for Time-Frequency Analysis of Electrogastrogram Slow Wave[C]. 见:. Buenos Aires, ARGENTINA. August 30 - September 4, 2010.
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