Explores electromyography recruitment figures and data processing techniques using LabVIEW software.
Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.
Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.
Delves into ECG data analysis, waveform interpretation, and physiological parameter measurement using software tools and practical examples.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
