作者: Deno Don C , Hagfors Mark , Morgan Dennis J , Hartley Thomas P , Davis Emma K
DOI:
关键词: Pattern recognition 、 Electrophysiology 、 Electroanatomic mapping 、 Event (probability theory) 、 Artificial intelligence 、 Signal 、 Cardiac mapping 、 Interval (graph theory) 、 Computer science
摘要: Electrophysiological activity can be mapped using sub-intervals of electrophysiological signals. An electroanatomical mapping system receives a plurality signals (402), each which spans an activation interval. For signal, the identifies initial event time within interval, such as by identifying maximum signal energy (404), and defines sub-interval about (406). The then analyzes to identify one or more characteristics (408) adds corresponding electrophysiology data point map (410). Advantageously, extend outside that instant teachings allow for capture analysis deflections occur at near boundaries