Fig. 4
From: Detecting the symptoms of Parkinson’s disease with non-standard video
Example of a raw time series signal (top) broken down into its frequency (left) and amplitude (right) features. A sliding window was used to evaluate trends in frequency while peak prominence was used to evaluate trends in amplitude. The coefficients of linear regression were used as features to describe this time series data