Skip to main content
. Author manuscript; available in PMC: 2020 Mar 15.
Published in final edited form as: J Neurosci Methods. 2019 Jan 30;316:12–21. doi: 10.1016/j.jneumeth.2019.01.009

Figure 3:

Figure 3:

Spindle detection. The lowest row in the plot shows the data with the spindles in red, as marked by a human expert. In the middle row, a DDA spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.