Eddy Krueger, Eduardo M. Scheeren, André E. Lazzaretti, Guilherme N. Nogueira-Neto, Vera Lúcia da S. Nantes Button, Percy Nohama
[1] S.G. Mallat. A theory for multiresolution signaldecomposition: the wavelet representation. Pattern Analysisand Machine Intelligence, IEEE Transactions on, 11(7), 1989,674-693. [2] I. Daubechies. Orthonormal bases of compactly supportedwavelets. Communications on pure and applied mathematics,41(7), 1988, 909-996. [3] J. Lee, C.M. Steele, & T. Chau. Classification of healthy andabnormal swallows based on accelerometry and nasal airflowsignals. Artificial Intelligence in Medicine, 52, 2011, 17-25. [4] T.W. Beck, V. von Tscharner, T.J. Housh, J.T. Cramer, J.P.Weir, M.H. Malek, et al. Time/frequency events of surfacemechanomyographic signals resolved by nonlinearly scaledwavelets. Biomedical Signal Processing and Control, 3(3),2008, 255-266. [5] M.R. Al-Mulla, F. Sepulveda, & M. Colley. A Review of Non-Invasive Techniques to Detect and Predict Localised MuscleFatigue. Sensors, 11(4), 2011, 3545-3594. [6] Z. Li, M. Zhang, G. Chen, S. Luo, F. Liu, & J. Li. Waveletanalysis of lumbar muscle oxygenation signals during whole-body vibration: implications for the development of localizedmuscle fatigue. European Journal of Applied Physiology,2012, 1-9. [7] L. Peñailillo, R. Silvestre, & K. Nosaka. Changes in surfaceEMG assessed by discrete wavelet transform during maximalisometric voluntary contractions following supramaximalcycling. European Journal of Applied Physiology, In Press,2012, 1-10. [8] L. Faller, G.N. Nogueira-Neto, V.L.d.S.N. Button, & P.Nohama. Muscle fatigue assessment by mechanomyographyduring application of NMES protocol. Revista brasileira deFisioterapia, 13(5), 2009, 422-429. [9] C.K. Chui. (1992). An introduction to wavelets. San Diego:Academic Press,Y.T. Chan. (1995). Wavelet basics. Boston:Kluwer Academic. [10] T.W. Beck, T.J. Housh, G.O. Johnson, J.P. Weir, J.T.Cramer, J.W. Coburn, et al. Comparison of Fourier andwavelet transform procedures for examining themechanomyographic and electromyographic frequencydomain responses during fatiguing isokinetic muscle actionsof the biceps brachii. Journal of Electromyography andKinesiology, 15(2), 2005, 190-199. [11] T.W. Beck, M.S. Stock, & J.M. DeFreitas. Torque-relatedchanges in mechanomyographic intensity patterns for thesuperficial quadriceps femoris muscles. Computer Methods inBiomechanics and Biomedical Engineering, In Press. [12] V. von Tscharner. Intensity analysis in time-frequency spaceof surface myoelectric signals by wavelets of specifiedresolution. Journal of Electromyography and Kinesiology,10(6), 2000, 433-445. [13] C. Torrence, & G.P. Compo. A practical guide to waveletanalysis. Bulletin of the American Meteorological society,79(1), 1998, 61-78. [14] D. Burke, J. Howells, L. Trevillion, P.A. McNulty, S.K.Jankelowitz, & M.C. Kiernan. Threshold behaviour of humanaxons explored using subthreshold perturbations to membranepotential. The Journal of Physiology, 587(2), 2009, 491-504.241 [15] J.P. Reilly. (1992). Electrical stimulation andelectropathology. Cambridge, USA: Cambridge UniversityPress. [16] C. Orizio, M. Gobbo, & B. Diemont. Changes of the force-frequency relationship in human tibialis anterior at fatigue.Journal of Electromyography and Kinesiology, 14(5), 2004,523-530. [17] C.J. De Luca, & Z. Erim. Common drive of motor units inregulation of muscle force. Trends in Neurociences, 17(7),1994, 299-305. [18] M.T. Tarata. Mechanomyography versus electromyography,in monitoring the muscular fatigue. Biomedical EngineeringOnline, 2(1), 2003, 3. [19] A.L. Hodgkin, & A.F. Huxley. The dual effect of membranepotential on sodium conductance in the giant axon of Loligo.The Journal of physiology, 116(4), 1952, 497-506. [20] N.Y. Yu, & S.H. Chang. The Characterization of Contractileand Myoelectric Activities in Paralyzed Tibialis Anterior PostElectrically Elicited Muscle Fatigue. Artificial Organs, 34(4),2010, E117-E121. [21] W. Yao, R.J. Fuglevand, & R.M. Enoka. Motor-unitsynchronization increases EMG amplitude and decreases forcesteadiness of simulated contractions. Journal ofNeurophysiology, 83(1), 2000, 441-452. [22] E. Krueger-Beck, E. Scheeren, G.N. Nogueira-Neto,V.L.d.S.N. Button, & P. Nohama. MechanomyographicResponse during FES in Healthy and Paraplegic Subjects.Paper presented at the 32nd Annual International Conferenceof the IEEE Engineering in Medicine and Biology Society(EMBC), Buenos Aires, Argentina, 2010, 626-629.
Important Links:
Go Back