Investigating Parkinson's Disease Gait Freezing Through the Analysis of Wave Train Electrical Activity Patterns

This study employs a previously developed method for analyzing wave train electrical activity to uncover regularities in signals obtained from accelerometers used on patients with Parkinson's disease. The method facilitates the examination of local time-frequency variations in biomedical signals. It focuses on identifying localized increases in the signal's power spectral density over frequency, space, and time - termed wave trains. Parameters such as central frequency, amplitude, duration in seconds, duration in periods, frequency bandwidth, and instantaneous phase of these wave trains were analyzed. These parameters constitute a multidimensional space. Using AUC (Area Under the Curve) diagrams, distinct regions within the parameter space were identified, showing differences between the number of wave trains in signals during gait freezing episodes and those without freezing in Parkinson's patients.