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1.发明申请ACCURATELY INDETIFYING CRITCAL REGIONS IN ATRIAL FIBRILLATION BY IDENTIFYING ROTORS IN DIRECTIONAL SIMILARITY VECTOR FIELD 审中-公开通过在方向相似矢量场中识别转子来精确地识别ATRIAL FIBRILLATION中的CRITCAL区域公开(公告)号：US20150230721A1
公开(公告)日：2015-08-20
申请号：US14699171
申请日：2015-04-29
申请人： Yenn-jiang Lin , Men-Tzung Lo
发明人： Men-Tzung Lo , Yenn-Jiang Lin , Huan-Yu Kuo , Yi-Chung Chang , Chen Lin , Hsiang-Chih Chang , Fa-Po Chung , Shih-Ann Chen
CPC分类号： A61B5/04011 , A61B5/04012 , A61B5/04085 , A61B5/046 , A61B5/4836 , A61B5/7246 , A61B18/1492 , A61B2018/00351 , A61B2018/00577 , A61B2018/00839
摘要： A computer-assisted method for quantitatively characterizing atrial fibrillation in a patient includes recording time series of bipolar atrial fibrillation signals at multiple sites in a patient's atria using two or more electrodes, calculating a similarity index vector by a computer system based on the bipolar atrial fibrillation signal between a first site and its neighboring sites, constructing an similarity-index vector field based on similarity-index vectors at different sites, calculating Curl and Divergence of the similarity-index vector field, calculating Rotor Identification using Curl and Divergence, calculating Focal Identification using Divergence, and determining one or more critical regions in the patient's atria if Rotor Identification is above a first predetermined threshold and Focal Identification is above a second predetermined threshold.
摘要翻译： 用于定量表征患者心房颤动的计算机辅助方法包括使用两个或多个电极记录患者心房多个部位的双相心房颤动信号的时间序列，基于双相心房颤动计算计算机系统的相似性指数矢量 信号在第一站点及其相邻站点之间，基于相似度指数向量在不同位置构建相似性指数向量域，计算相似度指数向量域的卷曲和发散，使用Curl和Divergence计算转子识别，计算焦点识别 使用发散，并且如果转子识别高于第一预定阈值并且焦点识别高于第二预定阈值，则确定患者心房中的一个或多个关键区域。
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2.发明授权Accurately indetifying critcal regions in atrial fibrillation by identifying rotors in directional similarity vector field 有权通过在方向相似矢量场中识别转子来准确地标记心房颤动中的临界区域公开(公告)号：US09545210B2
公开(公告)日：2017-01-17
申请号：US14699171
申请日：2015-04-29
申请人： Yenn-jiang Lin , Men-Tzung Lo
发明人： Men-Tzung Lo , Yenn-Jiang Lin , Huan-Yu Kuo , Yi-Chung Chang , Chen Lin , Hsiang-Chih Chang , Fa-Po Chung , Shih-Ann Chen
CPC分类号： A61B5/04011 , A61B5/04012 , A61B5/04085 , A61B5/046 , A61B5/4836 , A61B5/7246 , A61B18/1492 , A61B2018/00351 , A61B2018/00577 , A61B2018/00839
摘要： A computer-assisted method for quantitatively characterizing atrial fibrillation in a patient includes recording time series of bipolar atrial fibrillation signals at multiple sites in a patient's atria using two or more electrodes, calculating a similarity index vector by a computer system based on the bipolar atrial fibrillation signal between a first site and its neighboring sites, constructing an similarity-index vector field based on similarity-index vectors at different sites, calculating Curl and Divergence of the similarity-index vector field, calculating Rotor Identification using Curl and Divergence, calculating Focal Identification using Divergence, and determining one or more critical regions in the patient's atria if Rotor Identification is above a first predetermined threshold and Focal Identification is above a second predetermined threshold.
摘要翻译： 用于定量表征患者心房颤动的计算机辅助方法包括使用两个或多个电极记录患者心房多个部位的双相心房颤动信号的时间序列，基于双相心房颤动计算计算机系统的相似性指数矢量 信号在第一站点及其相邻站点之间，基于相似度指数向量在不同位置构建相似性指数向量域，计算相似度指数向量域的卷曲和发散，使用Curl和Divergence计算转子识别，计算焦点识别 使用发散，并且如果转子识别高于第一预定阈值并且焦点识别高于第二预定阈值，则确定患者心房中的一个或多个关键区域。
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