BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 37524624)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Electrocardiography signal compression using non-decimated stationary wavelet transform-based technique.
    Sharma N; Sunkaria RK
    Biomed Phys Eng Express; 2023 Jun; 9(4):. PubMed ID: 37279702
    [No Abstract]   [Full Text] [Related]  

  • 5. ECG compression using uniform scalar dead-zone quantization and conditional entropy coding.
    Chen J; Wang F; Zhang Y; Shi X
    Med Eng Phys; 2008 May; 30(4):523-30. PubMed ID: 17693118
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Design of wavelet transform based electrocardiogram monitoring system.
    Kumar A; Komaragiri R; Kumar M
    ISA Trans; 2018 Sep; 80():381-398. PubMed ID: 30131166
    [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. An efficient ECG signals denoising technique based on the combination of particle swarm optimisation and wavelet transform.
    Azzouz A; Bengherbia B; Wira P; Alaoui N; Souahlia A; Maazouz M; Hentabeli H
    Heliyon; 2024 Mar; 10(5):e26171. PubMed ID: 38455529
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. ECG compression using wavelet transform and particle swarm optimization.
    Alshamali A; Al-Aqil M
    J Med Eng Technol; 2011; 35(3-4):149-53. PubMed ID: 21476789
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Wavelet-based Encoding Scheme for Controlling Size of Compressed ECG Segments in Telecardiology Systems.
    Al-Busaidi AM; Khriji L; Touati F; Rasid MF; Mnaouer AB
    J Med Syst; 2017 Sep; 41(10):166. PubMed ID: 28900815
    [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 quality controllable algorithm for ECG compression based on wavelet transform and ROI coding].
    Zhao A; Wu B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Dec; 23(6):1177-82. PubMed ID: 17228703
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Combined coding and wavelet transform for ECG compression.
    Alshamali A; Al-Smadi A
    J Med Eng Technol; 2001; 25(5):212-6. PubMed ID: 11695662
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A joint application of optimal threshold based discrete cosine transform and ASCII encoding for ECG data compression with its inherent encryption.
    Pandey A; Singh B; Saini BS; Sood N
    Australas Phys Eng Sci Med; 2016 Dec; 39(4):833-855. PubMed ID: 27613706
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.