158 related articles for article (PubMed ID: 36163602)
1. Independent Detection of T-Waves in Single Lead ECG Signal Using Continuous Wavelet Transform.
Sabherwal P; Agrawal M; Singh L
Cardiovasc Eng Technol; 2023 Apr; 14(2):167-181. PubMed ID: 36163602
[TBL] [Abstract][Full Text] [Related]
2. Improved T-wave detection in electrocardiogram signals based non-stationary wavelet transform and QRS complex cancellation with kurtosis analysis.
Sharma N; Sunkaria RK
Physiol Meas; 2023 Dec; 44(12):. PubMed ID: 37944176
[No Abstract] [Full Text] [Related]
3. Robust algorithm for the detection and classification of QRS complexes with different morphologies using the continuous spline wavelet transform with automatic scale detection.
Martínez-Suárez F; Alvarado-Serrano C; Casas O
Biomed Phys Eng Express; 2024 Jan; 10(2):. PubMed ID: 38109783
[TBL] [Abstract][Full Text] [Related]
4. A wavelet-based ECG delineation algorithm for 32-bit integer online processing.
Di Marco LY; Chiari L
Biomed Eng Online; 2011 Apr; 10():23. PubMed ID: 21457580
[TBL] [Abstract][Full Text] [Related]
5. An Automatic R and T Peak Detection Method Based on the Combination of Hierarchical Clustering and Discrete Wavelet Transform.
Chen H; Maharatna K
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2825-2832. PubMed ID: 32078569
[TBL] [Abstract][Full Text] [Related]
6. [Research on the detection algorithm of electrocardiogram characteristic wave based on energy segmentation and stationary wavelet transform].
Liu J; Sun L; Xiong H; Liang M
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Dec; 38(6):1181-1192. PubMed ID: 34970902
[TBL] [Abstract][Full Text] [Related]
7. Quick detection of QRS complexes and R-waves using a wavelet transform and K-means clustering.
Xia Y; Han J; Wang K
Biomed Mater Eng; 2015; 26 Suppl 1():S1059-65. PubMed ID: 26405862
[TBL] [Abstract][Full Text] [Related]
8. P wave detection and delineation in the ECG based on the phase free stationary wavelet transform and using intracardiac atrial electrograms as reference.
Lenis G; Pilia N; Oesterlein T; Luik A; Schmitt C; Dössel O
Biomed Tech (Berl); 2016 Feb; 61(1):37-56. PubMed ID: 26136298
[TBL] [Abstract][Full Text] [Related]
9. Heart rate monitoring and therapeutic devices: A wavelet transform based approach for the modeling and classification of congestive heart failure.
Kumar A; Komaragiri R; Kumar M
ISA Trans; 2018 Aug; 79():239-250. PubMed ID: 29801924
[TBL] [Abstract][Full Text] [Related]
10. Design of a Biorthogonal Wavelet Transform Based R-Peak Detection and Data Compression Scheme for Implantable Cardiac Pacemaker Systems.
Kumar A; Kumar M; Komaragiri R
J Med Syst; 2018 Apr; 42(6):102. PubMed ID: 29675598
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. DSP implementation of wavelet transform for real time ECG wave forms detection and heart rate analysis.
Bahoura M; Hassani M; Hubin M
Comput Methods Programs Biomed; 1997 Jan; 52(1):35-44. PubMed ID: 9034668
[TBL] [Abstract][Full Text] [Related]
13. A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia.
Hejč J; Vítek M; Ronzhina M; Nováková M; Kolářová J
Cardiovasc Eng Technol; 2015 Sep; 6(3):364-75. PubMed ID: 26577367
[TBL] [Abstract][Full Text] [Related]
14. The Identification of ECG Signals Using Wavelet Transform and WOA-PNN.
Li N; He F; Ma W; Wang R; Jiang L; Zhang X
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746123
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Finding events of electrocardiogram and arterial blood pressure signals via discrete wavelet transform with modified scales.
Ghaffari A; Homaeinezhad MR; Akraminia M; Davaeeha M
Proc Inst Mech Eng H; 2010; 224(1):27-42. PubMed ID: 20225455
[TBL] [Abstract][Full Text] [Related]
17. Applicability of multiresolution wavelet analysis for QRS-waves detection.
Fedotov AA; Akulova AS; Akulov SA
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3793-3796. PubMed ID: 28269112
[TBL] [Abstract][Full Text] [Related]
18. A wavelet-based ECG delineator: evaluation on standard databases.
Martínez JP; Almeida R; Olmos S; Rocha AP; Laguna P
IEEE Trans Biomed Eng; 2004 Apr; 51(4):570-81. PubMed ID: 15072211
[TBL] [Abstract][Full Text] [Related]
19. Segmentation of holter ECG waves via analysis of a discrete wavelet-derived multiple skewness-kurtosis based metric.
Ghaffari A; Homaeinezhad MR; Khazraee M; Daevaeiha MM
Ann Biomed Eng; 2010 Apr; 38(4):1497-510. PubMed ID: 20087769
[TBL] [Abstract][Full Text] [Related]
20. An automated algorithm for online detection of fragmented QRS and identification of its various morphologies.
Maheshwari S; Acharyya A; Puddu PE; Mazomenos EB; Leekha G; Maharatna K; Schiariti M
J R Soc Interface; 2013 Dec; 10(89):20130761. PubMed ID: 24132202
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
