These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
399 related articles for article (PubMed ID: 23858744)
1. [Feature extraction of myocardial infarction based on lead I ECG]. Zhong Q; Yi Z Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Apr; 30(2):260-4. PubMed ID: 23858744 [TBL] [Abstract][Full Text] [Related]
2. New ST-segment elevation myocardial infarction criteria for left bundle branch block based on QRS area. Gregg RE; Helfenbein ED; Babaeizadeh S J Electrocardiol; 2013; 46(6):528-34. PubMed ID: 23948522 [TBL] [Abstract][Full Text] [Related]
3. [A method of QRS complexes detection based on complex wavelet decomposing]. Chen W; Mo Z Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Apr; 27(2):257-9, 269. PubMed ID: 20481297 [TBL] [Abstract][Full Text] [Related]
4. Automated interpretable detection of myocardial infarction fusing energy entropy and morphological features. Han C; Shi L Comput Methods Programs Biomed; 2019 Jul; 175():9-23. PubMed ID: 31104718 [TBL] [Abstract][Full Text] [Related]
5. Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks. Zeng W; Yuan J; Yuan C; Wang Q; Liu F; Wang Y Artif Intell Med; 2020 Jun; 106():101848. PubMed ID: 32593387 [TBL] [Abstract][Full Text] [Related]
6. A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection. Liu B; Liu J; Wang G; Huang K; Li F; Zheng Y; Luo Y; Zhou F Comput Biol Med; 2015 Jun; 61():178-84. PubMed ID: 25201457 [TBL] [Abstract][Full Text] [Related]
7. [The algorithm of extracting respiratory information from single channel electrocardiogram]. Zhao J; Hua M Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Dec; 23(6):1202-5. PubMed ID: 17228709 [TBL] [Abstract][Full Text] [Related]
8. A robust wavelet-based multi-lead Electrocardiogram delineation algorithm. Ghaffari A; Homaeinezhad MR; Akraminia M; Atarod M; Daevaeiha M Med Eng Phys; 2009 Dec; 31(10):1219-27. PubMed ID: 19692287 [TBL] [Abstract][Full Text] [Related]
9. Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition. Liu J; Zhang C; Zhu Y; Ristaniemi T; Parviainen T; Cong F Comput Methods Programs Biomed; 2020 Feb; 184():105120. PubMed ID: 31627147 [TBL] [Abstract][Full Text] [Related]
10. Predictive value of wavelet correlation functions of signal-averaged electrocardiogram in patients after anterior versus inferior myocardial infarction. Reinhardt L; Mäkijärvi M; Fetsch T; Montonen J; Sierra G; Martínez-Rubio A; Katila T; Borggrefe M; Breithardt G J Am Coll Cardiol; 1996 Jan; 27(1):53-9. PubMed ID: 8522710 [TBL] [Abstract][Full Text] [Related]
11. An innovative approach of QRS segmentation based on first-derivative, Hilbert and Wavelet Transforms. Madeiro JP; Cortez PC; Marques JA; Seisdedos CR; Sobrinho CR Med Eng Phys; 2012 Nov; 34(9):1236-46. PubMed ID: 22226589 [TBL] [Abstract][Full Text] [Related]
12. [Detection of QRS complexes using wavelet transformation and golden section search algorithm]. Chen W; Mo Z; Guo W Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Aug; 26(4):748-51. PubMed ID: 19813602 [TBL] [Abstract][Full Text] [Related]
13. Automatic digital ECG signal extraction and normal QRS recognition from real scene ECG images. Wang S; Zhang S; Li Z; Huang L; Wei Z Comput Methods Programs Biomed; 2020 Apr; 187():105254. PubMed ID: 31830698 [TBL] [Abstract][Full Text] [Related]
14. [Research on automated detection technology of standard 12 lead synchronous ECG signal]. Yan RQ; Zhan YQ; Hu WG; Zhang YH Zhongguo Yi Liao Qi Xie Za Zhi; 2002 Mar; 26(2):88-91. PubMed ID: 16104168 [TBL] [Abstract][Full Text] [Related]
15. ECG feature extraction using differentiation, Hilbert transform, variable threshold and slope reversal approach. Mukhopadhyay SK; Mitra M; Mitra S J Med Eng Technol; 2012 Oct; 36(7):372-86. PubMed ID: 22946481 [TBL] [Abstract][Full Text] [Related]
16. [A squeeze approach for electrocardiogram ST-segment detection based on R-wave and T-wave]. Song J; Yan H; Li L; Yang X Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Oct; 28(5):855-9. PubMed ID: 22097243 [TBL] [Abstract][Full Text] [Related]
17. Detection of Myocardial Infarction from Multi-lead ECG using Dual-Q Tunable Q-Factor Wavelet Transform. Liu J; Zhang C; Ristaniemi T; Cong F Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1496-1499. PubMed ID: 31946177 [TBL] [Abstract][Full Text] [Related]
18. [Adaptive de-noising of ECG signal based on stationary wavelet transform]. Dong HS; Zhang AH; Hao XH Zhongguo Yi Liao Qi Xie Za Zhi; 2009 Mar; 33(3):163-6. PubMed ID: 19771887 [TBL] [Abstract][Full Text] [Related]
19. A Novel ECG Eigenvalue Detection Algorithm Based on Wavelet Transform. Peng Z; Wang G Biomed Res Int; 2017; 2017():5168346. PubMed ID: 28596962 [TBL] [Abstract][Full Text] [Related]
20. Analysis of myocardial infarction using discrete wavelet transform. Jayachandran ES; Joseph K P; Acharya U R J Med Syst; 2010 Dec; 34(6):985-92. PubMed ID: 20703609 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]