title: [A squeeze approach for electrocardiogram ST-segment detection based on R-wave and T-wave].
abstract: ST-segment is the main clinical appearance in myocardial ischemia detection based on electrocardiogram (ECG) signals. However, it is highly sensitive to interferences (baseline wandering, postural changes, electrode interference, etc.), which cause the feature points of ECG ST-segment to be difficult to detect accurately. Currently, the common detection methods of ST-segment are: R+x and J+x, but they are affected badly by T-wave morphological variability and J point location. For these reasons, firstly we proposed a convenient and accurate approach for T-wave onset in this paper. It did not need to locate T-wave peak and was robust to baseline wandering and T-wave morphology. Secondly, we proposed a squeeze approach for ST-segment detection based on R-wave peak and T-wave onset. After the Long-Term ST database (LTST) verification, the proposed method has shown a good timeliness and robustness, and the accuracy of ST-segment detection has reached above 92%.
authors.affiliation: State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing 100094, China.
authors.forename: Jinzhong
authors.initials: J
authors.lastname: Song
authors.forename: Hong
authors.initials: H
authors.lastname: Yan
authors.forename: Li
authors.initials: L
authors.lastname: Li
authors.forename: Xianglin
authors.initials: X
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D017202:Myocardial Ischemia / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted