Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity
Fig 7
Basis Pursuit with Polynomial Detrending (BPWP) method performance, participant 1.
(A) Diagram depicting the approach to comparing the original inter-ictal epileptiform discharge (IED) rate timeseries (black) with the BPWP model output (orange). Each timeseries was bandpass filtered and the two filtered timeseries were used to calculate the Pearson correlation coefficient. (B) The Y axis shows the Pearson correlation coefficient for each bandpass filter with central periods listed on the X axis. P value for each point depicted was < 0.001. (C) Examples of filter outputs for the approximate daily (top), 19-day (middle), and 100 day (bottom) cycles. The original signal is in black, the BPWP output is in orange. The insert describes the daily cycle filter outputs from the 5 to 30-day time points.