Background and objective For more than 20 years, Higuchi's fractal dimension (HFD), as a
nonlinear method, has occupied an important place in the analysis of biological signals. The …

As the brain is a complex system with occurrence of self-similarity at different levels, a
dedicated analysis of the complexity of brain signals is of interest to elucidate the functional …

Fractal parameters (FP) significantly influence contact mechanics characteristics, such as
contact stiffness, friction and wear. The existing methods liking the power spectral density …

Central neuropathic pain (CNP) negatively impacts the quality of life in a large proportion of
people with spinal cord injury (SCI). With no cure at present, it is crucial to improve our …

Abstract Human Emotion Recognition is of vital importance to realize human-computer
interaction (HCI), while multichannel electroencephalogram (EEG) signals gradually replace …

Due to the stochastic nature of EEG signals, various nonlinear patterns and methods have
been applied in order to obtain characteristic understanding of their dynamic behavior [6] …

The exact mathematical relationship between FFT spectrum and fractal dimension (FD) of an
experimentally recorded signal is not known. In this work, we tried to calculate signal FD …

Electrogastrogram (EGG) signals are electrical signals generated by stomach muscles and
these signals are used to perform diagnoses of digestive disorders. For the non-invasive …

Objectives: We hypothesized that the impact of distinct anesthetic regimens could be
differently expressed during anesthesia and on post-anesthesia sleep in the …

This chapter deals with error and uncertainty in data. Treats their measuring methods and
meaning. It shows that uncertainty is a natural property of many data sets. Uncertainty is …