Monitoring of the spindle state by model prediction is proposed. This approach employs Fourier and wavelet transformations and the Wigner–Ville distribution. Means of identifying the characteristic frequencies are described, and their significance for diagnostics is determined.
Молчанов et al. (Sun,) studied this question.