BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 19032000)

  • 1. Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal-to-noise ratio.
    Solnik S; DeVita P; Rider P; Long B; Hortobágyi T
    Acta Bioeng Biomech; 2008; 10(2):65-8. PubMed ID: 19032000
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Teager-Kaiser energy operator signal conditioning improves EMG onset detection.
    Solnik S; Rider P; Steinweg K; DeVita P; Hortobágyi T
    Eur J Appl Physiol; 2010 Oct; 110(3):489-98. PubMed ID: 20526612
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Onset detection in surface electromyographic signals across isometric explosive and ramped contractions: a comparison of computer-based methods.
    Crotty ED; Furlong LM; Hayes K; Harrison AJ
    Physiol Meas; 2021 Apr; 42(3):. PubMed ID: 33725688
    [No Abstract]   [Full Text] [Related]  

  • 4. Application of the Teager-Kaiser Energy Operator in an autonomous burst detector to create onset and offset profiles of forearm muscles during reach-to-grasp movements.
    Krabben T; Prange GB; Kobus HJ; Rietman JS; Buurke JH
    Acta Bioeng Biomech; 2016; 18(4):135-144. PubMed ID: 28133386
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of different algorithms based on TKEO for EMG change point detection.
    Wang S; Zhu S; Shang Z
    Physiol Meas; 2022 Jul; 43(7):. PubMed ID: 35697015
    [No Abstract]   [Full Text] [Related]  

  • 6. Sample entropy analysis of surface EMG for improved muscle activity onset detection against spurious background spikes.
    Zhang X; Zhou P
    J Electromyogr Kinesiol; 2012 Dec; 22(6):901-7. PubMed ID: 22800657
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Teager-Kaiser energy operation of surface EMG improves muscle activity onset detection.
    Li X; Zhou P; Aruin AS
    Ann Biomed Eng; 2007 Sep; 35(9):1532-8. PubMed ID: 17473984
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of statistical and standard algorithms for detecting muscle onset with surface electromyography.
    Tenan MS; Tweedell AJ; Haynes CA
    PLoS One; 2017; 12(5):e0177312. PubMed ID: 28489897
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Long short-term memory (LSTM) recurrent neural network for muscle activity detection.
    Ghislieri M; Cerone GL; Knaflitz M; Agostini V
    J Neuroeng Rehabil; 2021 Oct; 18(1):153. PubMed ID: 34674720
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Iterative Assessment of Statistically-Oriented and Standard Algorithms for Determining Muscle Onset with Intramuscular Electromyography.
    Tenan MS; Tweedell AJ; Haynes CA
    J Appl Biomech; 2017 Dec; 33(6):464-468. PubMed ID: 28657852
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Muscle activity onset time detection using teager-kaiser energy operator.
    Li X; Aruin A
    Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():7549-52. PubMed ID: 17282028
    [TBL] [Abstract][Full Text] [Related]  

  • 12. M-mode ultrasound used to detect the onset of deep muscle activity.
    Dieterich AV; Pickard CM; Deshon LE; Strauss GR; Gibson W; Davey P; McKay J
    J Electromyogr Kinesiol; 2015 Apr; 25(2):224-31. PubMed ID: 25636500
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Low-cost electromyography - Validation against a commercial system using both manual and automated activation timing thresholds.
    Heywood S; Pua YH; McClelland J; Geigle P; Rahmann A; Bower K; Clark R
    J Electromyogr Kinesiol; 2018 Oct; 42():74-80. PubMed ID: 29980103
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of onset and termination of muscle activity in surface electromyograms.
    Abbink JH; van der Bilt A; van der Glas HW
    J Oral Rehabil; 1998 May; 25(5):365-9. PubMed ID: 9639161
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Speech enhancement using empirical mode decomposition and the Teager-Kaiser energy operator.
    Khaldi K; Boudraa AO; Komaty A
    J Acoust Soc Am; 2014 Jan; 135(1):451-9. PubMed ID: 24437785
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic detection of surface EMG activation timing using a wavelet transform based method.
    Vannozzi G; Conforto S; D'Alessio T
    J Electromyogr Kinesiol; 2010 Aug; 20(4):767-72. PubMed ID: 20303286
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Toward the development of predictive equations of back muscle capacity based on frequency- and temporal-domain electromyographic indices computed from intermittent static contractions.
    Larivière C; Gravel D; Gagnon D; Arsenault AB
    Spine J; 2009; 9(1):87-95. PubMed ID: 18082457
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling nonlinear errors in surface electromyography due to baseline noise: a new methodology.
    Law LF; Krishnan C; Avin K
    J Biomech; 2011 Jan; 44(1):202-5. PubMed ID: 20869716
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new detection method for EMG activity monitoring.
    Bengacemi H; Abed-Meraim K; Buttelli O; Ouldali A; Mesloub A
    Med Biol Eng Comput; 2020 Feb; 58(2):319-334. PubMed ID: 31848976
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Time-frequency analysis and estimation of muscle fiber conduction velocity from surface EMG signals during explosive dynamic contractions.
    Merlo E; Pozzo M; Antonutto G; di Prampero PE; Merletti R; Farina D
    J Neurosci Methods; 2005 Mar; 142(2):267-74. PubMed ID: 15698666
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.