Difference between revisions of "Bilateral Trigeminal neuromotor organic symmetry"

Bilateral Trigeminal neuromotor organic symmetry (view source)

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 ===<sub>maximal</sub>Absolute Neural Evoked Energy <math>_mANEE</math>===
-As already mentioned, the electromyographic signals show high complexity, and the mechanisms underlying the generation of EMG signals appear to be non-linear or even chaotic in nature. Researchers are trying, however, to improve the systems of mathematical filtering<br />
 [[File:Potenziale Evocato della Radice Trigeminale.jpg|left|thumb|'''Figure 3:''' The figure shows the signal saturation of the root with respect to latency and amplitude.]]
-like in the most recent Wavelet algorithm,<ref>Bonato P, Roy SH, Knaflitz M, De Luca CJ (2001) Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions. IEEE Trans Biomed Eng 48: 745-753.</ref> but it still remains very difficult, if not impossible in some cases, to separate the EMG signal from the unavoidable noise.
+As already mentioned, the electromyographic signals show high complexity, and the mechanisms underlying the generation of EMG signals appear to be non-linear or even chaotic in nature. Researchers are trying, however, to improve the systems of mathematical filtering like in the most recent Wavelet algorithm,<ref>Bonato P, Roy SH, Knaflitz M, De Luca CJ (2001) Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions. IEEE Trans Biomed Eng 48: 745-753.</ref>, but it still remains very difficult, if not impossible in some cases, to separate the EMG signal from the unavoidable noise.
 In this model of normalization, the purpose is not the decomposition of the signal/noise ratio, that we prefer to consider as an entropic phenomenon,<ref>Xie HB, Guo JY, Zheng YP (2010) Fuzzy approximate entropy analysis of chaotic and natural complex systems: detecting muscle fatigue using electromyography signals. Ann Biomed Eng 38: 1483-1496.</ref> but to decouple the contents of the central drive <ref>Inghilleri M, Berardelli A, Cruccu G, Priori A, Manfredi M (1989) Corticospinal potentials after transcranial stimulation in humans. J Neurol Neurosurg Psychiatry 52: 970-974.</ref> from the peripheral drive<ref>Cruccu G, Iannetti GD, Marx JJ, Thoemke F, Truini A, et al. (2005) Brainstem reflex circuits revisited. Brain 128: 386-394.</ref><ref>Kennelly KD (2012) Electrodiagnostic approach to cranial neuropathies. Neurol Clin 30: 661-684.</ref>by normalizing them with the organic content extrapolated from the <sub>b</sub>R-MEPs.