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 *

268 related articles for article (PubMed ID: 19762107)

  • 1. Prediction of externally applied forces to human hands using frequency content of surface EMG signals.
    Arslan YZ; Adli MA; Akan A; Baslo MB
    Comput Methods Programs Biomed; 2010 Apr; 98(1):36-44. PubMed ID: 19762107
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An exploratory study to design a novel hand movement identification system.
    Khezri M; Jahed M
    Comput Biol Med; 2009 May; 39(5):433-42. PubMed ID: 19342012
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Relationship between grasping force and features of single-channel intramuscular EMG signals.
    Kamavuako EN; Farina D; Yoshida K; Jensen W
    J Neurosci Methods; 2009 Dec; 185(1):143-50. PubMed ID: 19747943
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals.
    Farina D; Févotte C; Doncarli C; Merletti R
    IEEE Trans Biomed Eng; 2004 Sep; 51(9):1555-67. PubMed ID: 15376504
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Compression of surface EMG signals with algebraic code excited linear prediction.
    Carotti E; De Martin JC; Merletti R; Farina D
    Med Eng Phys; 2007 Mar; 29(2):253-8. PubMed ID: 16675283
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using the discrete wavelet transform for time-frequency analysis of the surface EMG signal.
    Constable R; Thornhill RJ
    Biomed Sci Instrum; 1993; 29():121-7. PubMed ID: 8329582
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A comparison of adaptive and notch filtering for removing electromagnetic noise from monopolar surface electromyographic signals.
    Beck TW; DeFreitas JM; Cramer JT; Stout JR
    Physiol Meas; 2009 Apr; 30(4):353-61. PubMed ID: 19242048
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Calibration of EMG to force for knee muscles is applicable with submaximal voluntary contractions.
    Doorenbosch CA; Joosten A; Harlaar J
    J Electromyogr Kinesiol; 2005 Aug; 15(4):429-35. PubMed ID: 15811613
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Independent component analysis of high-density electromyography in muscle force estimation.
    Staudenmann D; Daffertshofer A; Kingma I; Stegeman DF; van Dieën JH
    IEEE Trans Biomed Eng; 2007 Apr; 54(4):751-4. PubMed ID: 17405383
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Feasibility of using EMG driven neuromusculoskeletal model for prediction of dynamic movement of the elbow.
    Koo TK; Mak AF
    J Electromyogr Kinesiol; 2005 Feb; 15(1):12-26. PubMed ID: 15642650
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Static optimization of muscle forces during gait in comparison to EMG-to-force processing approach.
    Heintz S; Gutierrez-Farewik EM
    Gait Posture; 2007 Jul; 26(2):279-88. PubMed ID: 17071088
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Surface EMG based hand gesture identification using semi blind ICA: validation of ICA matrix analysis.
    Naik GR; Kumar DK; Palaniswami M
    Electromyogr Clin Neurophysiol; 2008; 48(3-4):169-80. PubMed ID: 18551837
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of joint moments using a neural network model of muscle activations from EMG signals.
    Wang L; Buchanan TS
    IEEE Trans Neural Syst Rehabil Eng; 2002 Mar; 10(1):30-7. PubMed ID: 12173737
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A model of EMG generation.
    Duchêne J; Hogrel JY
    IEEE Trans Biomed Eng; 2000 Feb; 47(2):192-201. PubMed ID: 10721626
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effects of minimum sampling rate and signal reconstruction on surface electromyographic signals.
    Durkin JL; Callaghan JP
    J Electromyogr Kinesiol; 2005 Oct; 15(5):474-81. PubMed ID: 15935959
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel electromyographic signal simulator for muscle contraction studies.
    Rosa Ida G; Garcia MA; Souza MN
    Comput Methods Programs Biomed; 2008 Mar; 89(3):269-74. PubMed ID: 18164097
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Time and frequency domain responses of the mechanomyogram and electromyogram during isometric ramp contractions: a comparison of the short-time Fourier and continuous wavelet transforms.
    Ryan ED; Cramer JT; Egan AD; Hartman MJ; Herda TJ
    J Electromyogr Kinesiol; 2008 Feb; 18(1):54-67. PubMed ID: 17070700
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The application of independent component analysis to the multi-channel surface electromyographic signals for separation of motor unit action potential trains: part I-measuring techniques.
    Nakamura H; Yoshida M; Kotani M; Akazawa K; Moritani T
    J Electromyogr Kinesiol; 2004 Aug; 14(4):423-32. PubMed ID: 15165592
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.