Figure 5 | Scientific Reports

Figure 5

From: Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones

Figure 5The alternative text for this image may have been generated using AI.

Visualisation of the average gait signal through the LRP-CWT analysis framework. Representative average epochs (n=128 samples, 2.56 [s]) were first created using Dynamic Time Warping Barycenter Averaging (DBA) independently for sets of correctly classified epochs from HC, PwMSmild, and PwMSmod subject groups. (Pr; represents the DCNN posterior probability for that class).

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