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 *

186 related articles for article (PubMed ID: 19163850)

  • 41. Reliability of burst superimposed technique to assess central activation failure during fatiguing contraction.
    Dousset E; Jammes Y
    J Electromyogr Kinesiol; 2003 Apr; 13(2):103-11. PubMed ID: 12586516
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Muscle fatigue estimation with twitch force derived from sEMG peaks.
    Na Y; Lee HD; Kim J
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3492-5. PubMed ID: 26737045
    [TBL] [Abstract][Full Text] [Related]  

  • 43. A frequency and pulse-width co-modulation strategy for transcutaneous neuromuscular electrical stimulation based on sEMG time-domain features.
    Zhou YX; Wang HP; Bao XL; Lü XY; Wang ZG
    J Neural Eng; 2016 Feb; 13(1):016004. PubMed ID: 26644193
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Repeatability of surface EMG parameters at various isometric contraction levels and during fatigue using bipolar and Laplacian electrode configurations.
    Ollivier K; Portero P; Maïsetti O; Hogrel JY
    J Electromyogr Kinesiol; 2005 Oct; 15(5):466-73. PubMed ID: 15935958
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Fatigue estimation with a multivariable myoelectric mapping function.
    MacIsaac DT; Parker PA; Englehart KB; Rogers DR
    IEEE Trans Biomed Eng; 2006 Apr; 53(4):694-700. PubMed ID: 16602576
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Electromyographic models to assess muscle fatigue.
    González-Izal M; Malanda A; Gorostiaga E; Izquierdo M
    J Electromyogr Kinesiol; 2012 Aug; 22(4):501-12. PubMed ID: 22440555
    [TBL] [Abstract][Full Text] [Related]  

  • 47. 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]  

  • 48. Strategies to identify changes in SEMG due to muscle fatigue during cycling.
    Singh VP; Kumar DK; Polus B; Fraser S
    J Med Eng Technol; 2007; 31(2):144-51. PubMed ID: 17365438
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Filtering the surface EMG signal: Movement artifact and baseline noise contamination.
    De Luca CJ; Gilmore LD; Kuznetsov M; Roy SH
    J Biomech; 2010 May; 43(8):1573-9. PubMed ID: 20206934
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Muscle Co-Contraction Detection in the Time-Frequency Domain.
    Di Nardo F; Morano M; Strazza A; Fioretti S
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808382
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Analysis of muscle coupling during isokinetic endurance contractions by means of nonlinear prediction.
    Rojas-Martínez M; Alonso JF; Chaler J; Mañanas MA
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5005-8. PubMed ID: 24110859
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Homomorphic Deconvolution for MUAP Estimation From Surface EMG Signals.
    Biagetti G; Crippa P; Orcioni S; Turchetti C
    IEEE J Biomed Health Inform; 2017 Mar; 21(2):328-338. PubMed ID: 26890932
    [TBL] [Abstract][Full Text] [Related]  

  • 53. An alternative approach in muscle fatigue evaluation from the surface EMG signal.
    Garcia MA; Catunda JM; Lemos T; Oliveira LF; Imbiriba LA; Souza MN
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2419-22. PubMed ID: 21095697
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Surface EMG based muscle fatigue evaluation in biomechanics.
    Cifrek M; Medved V; Tonković S; Ostojić S
    Clin Biomech (Bristol, Avon); 2009 May; 24(4):327-40. PubMed ID: 19285766
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Less is more: high pass filtering, to remove up to 99% of the surface EMG signal power, improves EMG-based biceps brachii muscle force estimates.
    Potvin JR; Brown SH
    J Electromyogr Kinesiol; 2004 Jun; 14(3):389-99. PubMed ID: 15094152
    [TBL] [Abstract][Full Text] [Related]  

  • 56. A mixed FES/EMG system for real time analysis of muscular fatigue.
    Yochum M; Binczak S; Bakir T; Jacquir S; Lepers R
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4882-5. PubMed ID: 21096653
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Fuzzy approximate entropy analysis of chaotic and natural complex systems: detecting muscle fatigue using electromyography signals.
    Xie HB; Guo JY; Zheng YP
    Ann Biomed Eng; 2010 Apr; 38(4):1483-96. PubMed ID: 20099031
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Are the myoelectric manifestations of fatigue distributed regionally in the human medial gastrocnemius muscle?
    Gallina A; Merletti R; Vieira TM
    J Electromyogr Kinesiol; 2011 Dec; 21(6):929-38. PubMed ID: 21911301
    [TBL] [Abstract][Full Text] [Related]  

  • 59. EMG spectral indices and muscle power fatigue during dynamic contractions.
    González-Izal M; Malanda A; Navarro-Amézqueta I; Gorostiaga EM; Mallor F; Ibañez J; Izquierdo M
    J Electromyogr Kinesiol; 2010 Apr; 20(2):233-40. PubMed ID: 19406664
    [TBL] [Abstract][Full Text] [Related]  

  • 60. The application of Hilbert-Huang transform in the analysis of muscle fatigue during cyclic dynamic contractions.
    Srhoj-Egekher V; Cifrek M; Medved V
    Med Biol Eng Comput; 2011 Jun; 49(6):659-69. PubMed ID: 21153059
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.