BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 24307920)

  • 1. Local Wavelet-Based Filtering of Electromyographic Signals to Eliminate the Electrocardiographic-Induced Artifacts in Patients with Spinal Cord Injury.
    Nitzken M; Bajaj N; Aslan S; Gimel'farb G; El-Baz A; Ovechkin A
    J Biomed Sci Eng; 2013 Jul; 6(7B):. PubMed ID: 24307920
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Removal of the electrocardiogram signal from surface EMG recordings using non-linearly scaled wavelets.
    von Tscharner V; Eskofier B; Federolf P
    J Electromyogr Kinesiol; 2011 Aug; 21(4):683-8. PubMed ID: 21470876
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparative Review of the Algorithms for Removal of Electrocardiographic Interference from Trunk Electromyography.
    Xu L; Peri E; Vullings R; Rabotti C; Van Dijk JP; Mischi M
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32872470
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ECG artifact cancellation in surface EMG signals by fractional order calculus application.
    Miljković N; Popović N; Djordjević O; Konstantinović L; Šekara TB
    Comput Methods Programs Biomed; 2017 Mar; 140():259-264. PubMed ID: 28254082
    [TBL] [Abstract][Full Text] [Related]  

  • 5. ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA.
    Abbaspour S; Lindén M; Gholamhosseini H
    Stud Health Technol Inform; 2015; 211():91-7. PubMed ID: 25980853
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of Empirical Mode Decomposition Combined With Notch Filtering for Interpretation of Surface Electromyograms During Functional Electrical Stimulation.
    Pilkar R; Yarossi M; Ramanujam A; Rajagopalan V; Bayram MB; Mitchell M; Canton S; Forrest G
    IEEE Trans Neural Syst Rehabil Eng; 2017 Aug; 25(8):1268-1277. PubMed ID: 27834646
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adaptive filtering for ECG rejection from surface EMG recordings.
    Marque C; Bisch C; Dantas R; Elayoubi S; Brosse V; Pérot C
    J Electromyogr Kinesiol; 2005 Jun; 15(3):310-5. PubMed ID: 15763678
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Removal of ECG Artifacts Affects Respiratory Muscle Fatigue Detection-A Simulation Study.
    Kahl L; Hofmann UG
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451104
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artifact Adaptive Ideal Filtering of EMG Signals Contaminated by Spinal Cord Transcutaneous Stimulation.
    Andrews B; Karem A; Harkema SJ; Rouffet DM
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3047-3054. PubMed ID: 37428663
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The interpretation of abdominal wall muscle recruitment strategies change when the electrocardiogram (ECG) is removed from the electromyogram (EMG).
    Butler HL; Newell R; Hubley-Kozey CL; Kozey JW
    J Electromyogr Kinesiol; 2009 Apr; 19(2):e102-13. PubMed ID: 18055221
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques.
    Drake JD; Callaghan JP
    J Electromyogr Kinesiol; 2006 Apr; 16(2):175-87. PubMed ID: 16139521
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improved multi-layer wavelet transform and blind source separation based ECG artifacts removal algorithm from the sEMG signal: in the case of upper limbs.
    Lu W; Gong D; Xue X; Gao L
    Front Bioeng Biotechnol; 2024; 12():1367929. PubMed ID: 38832128
    [No Abstract]   [Full Text] [Related]  

  • 13. Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends.
    Chen CC; Tsui FR
    BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 11):343. PubMed ID: 33380333
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Removing ECG contamination from EMG recordings: a comparison of ICA-based and other filtering procedures.
    Willigenburg NW; Daffertshofer A; Kingma I; van Dieën JH
    J Electromyogr Kinesiol; 2012 Jun; 22(3):485-93. PubMed ID: 22296869
    [TBL] [Abstract][Full Text] [Related]  

  • 15. High-pass filtering to remove electrocardiographic interference from torso EMG recordings.
    Redfern M; Hughes R; Chaffin D
    Clin Biomech (Bristol, Avon); 1993 Jan; 8(1):44-8. PubMed ID: 23915829
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Separation of electrocardiographic from electromyographic signals using dynamic filtration.
    Christov I; Raikova R; Angelova S
    Med Eng Phys; 2018 Jul; 57():1-10. PubMed ID: 29699890
    [TBL] [Abstract][Full Text] [Related]  

  • 17. FastICA peel-off for ECG interference removal from surface EMG.
    Chen M; Zhang X; Chen X; Zhu M; Li G; Zhou P
    Biomed Eng Online; 2016 Jun; 15(1):65. PubMed ID: 27296791
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Real time ECG artifact removal for myoelectric prosthesis control.
    Zhou P; Lock B; Kuiken TA
    Physiol Meas; 2007 Apr; 28(4):397-413. PubMed ID: 17395995
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Novel Technique to Reject Artifact Components for Surface EMG Signals Recorded During Walking With Transcutaneous Spinal Cord Stimulation: A Pilot Study.
    Kim M; Moon Y; Hunt J; McKenzie KA; Horin A; McGuire M; Kim K; Hargrove LJ; Jayaraman A
    Front Hum Neurosci; 2021; 15():660583. PubMed ID: 34149379
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Morphological ECG subtraction method for removing ECG artifacts from diaphragm EMG.
    Guo L; Li ZW; Zhang H; Li SM; Zhang JH
    Technol Health Care; 2023; 31(S1):333-345. PubMed ID: 37066934
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.