国际生物医学工程杂志
國際生物醫學工程雜誌
국제생물의학공정잡지
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING
2012年
1期
8-13,17
,共7页
匹配追踪%时频分析%癫痫%短时傅里叶变换%Wigner-Ville分布
匹配追蹤%時頻分析%癲癇%短時傅裏葉變換%Wigner-Ville分佈
필배추종%시빈분석%전간%단시부리협변환%Wigner-Ville분포
Matching pursuit%Time-frequency analysis%Epilepsy%Short time Fourier transform%Wigner-Ville distribution
目的 鉴于匹配追踪算法具有良好的参数化描述特性,应用匹配追踪算法研究癫痫脑电的时频分布特征.方法 通过仿真算例,将匹配追踪算法与短时傅里叶变换、Wigner-Ville分布结果进行比较,验证该方法的频率分辨率高及参数化表征的优越性；应用上述3种方法对癫痫脑电和正常脑电进行时频分析,研究癫痫异常放电在时频平面的表现.结果 仿真结果表明基于匹配追踪算法能得到较好的时频分布；对癫痫脑电和正常脑电进行时频分析,癫痫脑电和正常脑电在时频平面上存在明显的差异.结论 基于匹配追踪的时频分析方法,能够更好地揭示脑电类非平稳信号的特征.
目的 鑒于匹配追蹤算法具有良好的參數化描述特性,應用匹配追蹤算法研究癲癇腦電的時頻分佈特徵.方法 通過倣真算例,將匹配追蹤算法與短時傅裏葉變換、Wigner-Ville分佈結果進行比較,驗證該方法的頻率分辨率高及參數化錶徵的優越性；應用上述3種方法對癲癇腦電和正常腦電進行時頻分析,研究癲癇異常放電在時頻平麵的錶現.結果 倣真結果錶明基于匹配追蹤算法能得到較好的時頻分佈；對癲癇腦電和正常腦電進行時頻分析,癲癇腦電和正常腦電在時頻平麵上存在明顯的差異.結論 基于匹配追蹤的時頻分析方法,能夠更好地揭示腦電類非平穩信號的特徵.
목적 감우필배추종산법구유량호적삼수화묘술특성,응용필배추종산법연구전간뇌전적시빈분포특정.방법 통과방진산례,장필배추종산법여단시부리협변환、Wigner-Ville분포결과진행비교,험증해방법적빈솔분변솔고급삼수화표정적우월성；응용상술3충방법대전간뇌전화정상뇌전진행시빈분석,연구전간이상방전재시빈평면적표현.결과 방진결과표명기우필배추종산법능득도교호적시빈분포；대전간뇌전화정상뇌전진행시빈분석,전간뇌전화정상뇌전재시빈평면상존재명현적차이.결론 기우필배추종적시빈분석방법,능구경호지게시뇌전류비평은신호적특정.
Objective Matching pursuit algorithm(MAP),for its good parametric characterization,was applied in epileptic electroencephalography(EEG) to study time-frequency distribution.Methods Simulation experiment of time-frequency analysis was carried out to verify the matching pursuit algorithm s superiority on frequency resolution and parametric characterization.Fourier transform,Wigner-Ville distribution and matching pursuit algorithm were applied to the time-frequency analysis on normal EEG and epileptic EEG to study epileptic discharge in the time-frequency plane and the results were compared.Results Simulation results showed that the matching pursuit algorithm obtained a better time-frequency distribution.Distributions of epileptic EEG and normal EEG had significant difference in time-frequency plane.Conclusion Time-frequency analysis based on matching pursuit can better reveal the EEG characteristics.
