1L. Philipson. Adaptable myoelectric prosthetic control with functional visual feedback using microprocessor techniques[J] 1985,Medical & Biological Engineering & Computing(1):8~14
同被引文献21
1Stulen FB, De Luca CJ. Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity [J]. IEEE Trans Biomed Engng, 1981, 28:515-23
2Serge H. Spectral Electromyographic assessment of back muscles in patients with low back pain undergoing rehabilitation [J]. Spine,1995, 20 (1): 38-48
3Deyo RA, Rainville J. Kent DL. What can the history and physical examination tell us about low back pain [ J]. JAMA, 1992,(268): 760 - 765.
4ang Wenjuh, Shiu Jiuerou, Cheng Chengkung. The application of central coefficients and maximum likelihood method in EMG pattern recognition [J]. IEEE Trans Biomed Eng, 1995, 42:777
5Knox R, Broks DH. Classification of multffunction Surface EMG using advanced AR Model Representation [J]. 1994
6Michael FK, Philip AP. The application of neural networks to myoelectric signal analysis: A preliminary study [J]. IEEE Trans Biomed Eng, 1990, 37:221
8Grenier Y. Time-dependent ARMA modeling of non-stationarysignals [J]. IEEE Trans ASSP, 1983, 31 (4): 899-911
9Stulen FB,De Luca CJ.Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity[J].IEEE Trans Biomed Eng,1981,28(7):515-523.
10Merlectti R,Knaflitz M,De Luca CJ.Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions[J].J Appl Physiol,1990,69(5):1810-1820.