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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 38481575)

  • 21. Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigue.
    Al-Mulla MR; Sepulveda F; Colley M
    Med Eng Phys; 2011 May; 33(4):411-7. PubMed ID: 21256068
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Comparison of Fourier and wavelet transform procedures for examining the mechanomyographic and electromyographic frequency domain responses during fatiguing isokinetic muscle actions of the biceps brachii.
    Beck TW; Housh TJ; Johnson GO; Weir JP; Cramer JT; Coburn JW; Malek MH
    J Electromyogr Kinesiol; 2005 Apr; 15(2):190-9. PubMed ID: 15664148
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Comparison of Fourier and wavelet analysis for fatigue assessment during repetitive dynamic exertion.
    Chowdhury SK; Nimbarte AD
    J Electromyogr Kinesiol; 2015 Apr; 25(2):205-13. PubMed ID: 25499085
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Dynamic contraction and fatigue analysis in biceps brachii muscles using synchrosqueezed wavelet transform and singular value features.
    Hari LM; Venugopal G; Ramakrishnan S
    Proc Inst Mech Eng H; 2022 Feb; 236(2):208-217. PubMed ID: 34633247
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during All-Out Cycling Exercise.
    Wang L; Wang Y; Ma A; Ma G; Ye Y; Li R; Lu T
    Biomed Res Int; 2018; 2018():9341215. PubMed ID: 29850588
    [TBL] [Abstract][Full Text] [Related]  

  • 26. The Assessment of Muscular Effort, Fatigue, and Physiological Adaptation Using EMG and Wavelet Analysis.
    Graham RB; Wachowiak MP; Gurd BJ
    PLoS One; 2015; 10(8):e0135069. PubMed ID: 26263548
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Real-Time Algorithm to Estimate Shoulder Muscle Fatigue Based on Surface EMG Signal For Static and Dynamic Upper Limb Tasks.
    Boyer M; Bouyer L; Roy JS; Campeau-Lecours A
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():100-106. PubMed ID: 34891249
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Muscle fatigue analysis during dynamic contractions based on biomechanical features and Permutation Entropy.
    Murillo-Escobar J; Jaramillo-Munera YE; Orrego-Metaute DA; Delgado-Trejos E; Cuesta-Frau D
    Math Biosci Eng; 2020 Mar; 17(3):2592-2615. PubMed ID: 32233556
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Age-specific differences in the time-frequency representation of surface electromyographic data recorded during a submaximal cyclic back extension exercise: a promising biomarker to detect early signs of sarcopenia.
    Habenicht R; Ebenbichler G; Bonato P; Kollmitzer J; Ziegelbecker S; Unterlerchner L; Mair P; Kienbacher T
    J Neuroeng Rehabil; 2020 Jan; 17(1):8. PubMed ID: 31992323
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Fourier and wavelet spectral analysis of EMG signals in isometric and dynamic maximal effort exercise.
    Dantas JL; Camata TV; Brunetto MA; Moraes AC; Abrão T; Altimari LR
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5979-82. PubMed ID: 21097104
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A comparison of electromyography and stroke kinematics during ergometer and on-water rowing.
    Fleming N; Donne B; Mahony N
    J Sports Sci; 2014; 32(12):1127-38. PubMed ID: 24576175
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Test-retest reliability of wavelet - and Fourier based EMG (instantaneous) median frequencies in the evaluation of back and hip muscle fatigue during isometric back extensions.
    Coorevits P; Danneels L; Cambier D; Ramon H; Druyts H; Karlsson JS; De Moor G; Vanderstraeten G
    J Electromyogr Kinesiol; 2008 Oct; 18(5):798-806. PubMed ID: 18396412
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Differences in myoelectric manifestations of fatigue during isometric muscle actions.
    Gawda P; Ginszt M; Ginszt A; Pawlak H; Majcher P
    Ann Agric Environ Med; 2018 Jun; 25(2):296-299. PubMed ID: 29936808
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Variability of Time- and Frequency-Domain Surface Electromyographic Measures in Non-Fatigued Shoulder Muscles.
    Alasim HN; Nimbarte AD
    IISE Trans Occup Ergon Hum Factors; 2022; 10(4):201-212. PubMed ID: 36411999
    [TBL] [Abstract][Full Text] [Related]  

  • 35. sEMG wavelet-based indices predicts muscle power loss during dynamic contractions.
    González-Izal M; Rodríguez-Carreño I; Malanda A; Mallor-Giménez F; Navarro-Amézqueta I; Gorostiaga EM; Izquierdo M
    J Electromyogr Kinesiol; 2010 Dec; 20(6):1097-106. PubMed ID: 20579906
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Limitations of Spectral Electromyogramic Analysis to Determine the Onset of Neuromuscular Fatigue Threshold during Incremental Ergometer Cycling.
    Latasa I; Cordova A; Malanda A; Navallas J; Lavilla-Oiz A; Rodriguez-Falces J
    J Sports Sci Med; 2016 Mar; 15(1):148-57. PubMed ID: 26957938
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Hybrid fusion of linear, non-linear and spectral models for the dynamic modeling of sEMG and skeletal muscle force: an application to upper extremity amputation.
    Potluri C; Anugolu M; Schoen MP; Subbaram Naidu D; Urfer A; Chiu S
    Comput Biol Med; 2013 Nov; 43(11):1815-26. PubMed ID: 24209927
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Use of Surface Electromyography to Measure Muscle Fatigue in Patients in an Acute Care Hospital.
    Skrzat JM; Carp SJ; Dai T; Lauer R; Hiremath SV; Gaeckle N; Tucker CA
    Phys Ther; 2020 Jun; 100(6):897-906. PubMed ID: 32157308
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Fourier and wavelet spectral analysis of EMG signals in maximal constant load dynamic exercise.
    Costa MV; Pereira LA; Oliveira RS; Pedro RE; Camata TV; Abrao T; Brunetto MA; Altimari LR
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4622-5. PubMed ID: 21096232
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms.
    Karthick PA; Ghosh DM; Ramakrishnan S
    Comput Methods Programs Biomed; 2018 Feb; 154():45-56. PubMed ID: 29249346
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.