Literature DB >> 22097243

[A squeeze approach for electrocardiogram ST-segment detection based on R-wave and T-wave].

Jinzhong Song1, Hong Yan, Li Li, Xianglin Yang.   

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%.

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Mesh:

Year:  2011        PMID: 22097243

Source DB:  PubMed          Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi        ISSN: 1001-5515


  1 in total

1.  Lying position classification based on ECG waveform and random forest during sleep in healthy people.

Authors:  Hongze Pan; Zhi Xu; Hong Yan; Yue Gao; Zhanghuang Chen; Jinzhong Song; Yu Zhang
Journal:  Biomed Eng Online       Date:  2018-08-30       Impact factor: 2.819

  1 in total

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