BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 37133234)

  • 1. An effective ECG signal compression algorithm with self controlled reconstruction quality.
    Pal HS; Kumar A; Vishwakarma A; Singh GK; Lee HN
    Comput Methods Biomech Biomed Engin; 2024 May; 27(7):849-859. PubMed ID: 37133234
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Basis pursuit sparse decomposition using tunable-Q wavelet transform (BPSD-TQWT) for denoising of electrocardiograms.
    Srinivasulu A; Sriraam N
    Phys Eng Sci Med; 2022 Sep; 45(3):817-833. PubMed ID: 35771386
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Electrocardiogram signal compression using adaptive tunable-Q wavelet transform and modified dead-zone quantizer.
    Pal HS; Kumar A; Vishwakarma A; Lee HN
    ISA Trans; 2023 Nov; 142():335-346. PubMed ID: 37524624
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An efficient coding algorithm for the compression of ECG signals using the wavelet transform.
    Rajoub BA
    IEEE Trans Biomed Eng; 2002 Apr; 49(4):355-62. PubMed ID: 11942727
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel ECG data compression method based on nonrecursive discrete periodized wavelet transform.
    Ku CT; Wang HS; Hung KC; Hung YS
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2577-83. PubMed ID: 17153215
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A hybrid ECG compression algorithm based on singular value decomposition and discrete wavelet transform.
    Ahmed SM; Al-Zoubi Q; Abo-Zahhad M
    J Med Eng Technol; 2007; 31(1):54-61. PubMed ID: 17365427
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. A new hybrid algorithm for ECG signal compression based on the wavelet transformation of the linearly predicted error.
    Ahmeda SM; Abo-Zahhad M
    Med Eng Phys; 2001 Mar; 23(2):117-26. PubMed ID: 11413064
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A constrained two-layer compression technique for ECG waves.
    Byun K; Song E; Shim H; Lim H; Kang HG
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6130-3. PubMed ID: 26737691
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An ECG signal compressor based on the selection of optimal threshold levels of discrete wavelet transform coefficients.
    Al-Ajlouni AF; Abo-Zahhad M; Ahmed SM; Schilling RJ
    J Med Eng Technol; 2008; 32(6):425-33. PubMed ID: 19005960
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT.
    Nemcova A; Vitek M; Novakova M
    Sci Rep; 2020 Sep; 10(1):15801. PubMed ID: 32978481
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Wavelet-based low-delay ECG compression algorithm for continuous ECG transmission.
    Kim BS; Yoo SK; Lee MH
    IEEE Trans Inf Technol Biomed; 2006 Jan; 10(1):77-83. PubMed ID: 16445252
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Efficient thresholding-based ECG compressors for high quality applications using cosine modulated filter banks.
    Hernando-Ramiro C; Blanco-Velasco M; Cruz-Roldán F; Pedroviejo-Benito F
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7079-82. PubMed ID: 22255969
    [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. ECG signal compression using combined modified discrete cosine and discrete wavelet transforms.
    Ahmed SM; Al-Ajlouni AF; Abo-Zahhad M; Harb B
    J Med Eng Technol; 2009; 33(1):1-8. PubMed ID: 19116848
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A 2-D ECG compression method based on wavelet transform and modified SPIHT.
    Tai SC; Sun CC; Yan WC
    IEEE Trans Biomed Eng; 2005 Jun; 52(6):999-1008. PubMed ID: 15977730
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Wavelet-based ECG data compression system with linear quality control scheme.
    Ku CT; Hung KC; Wu TC; Wang HS
    IEEE Trans Biomed Eng; 2010 Jun; 57(6):1399-409. PubMed ID: 20142155
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploiting prior knowledge in compressed sensing wireless ECG systems.
    Polanía LF; Carrillo RE; Blanco-Velasco M; Barner KE
    IEEE J Biomed Health Inform; 2015 Mar; 19(2):508-19. PubMed ID: 24846672
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Compression of biomedical signals with mother wavelet optimization and best-basis wavelet packet selection.
    Brechet L; Lucas MF; Doncarli C; Farina D
    IEEE Trans Biomed Eng; 2007 Dec; 54(12):2186-92. PubMed ID: 18075034
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.