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Figure 4 | Journal of NeuroEngineering and Rehabilitation

Figure 4

From: Using hierarchical clustering methods to classify motor activities of COPD patients from wearable sensor data

Figure 4

Merging clusters for ambulatory tasks. The barplots show sensitivity and misclassification for different levels of merging for the three subjects from which it was possible to gather sufficient data to explore discriminating among motor tasks associated with ambulation. While for Subj C an accurate discrimination of 6 tasks was obtained and thus no dramatic change is shown in sensitivity and misclassification when merging clusters, for Subj A and Subj B the increase in sensitivity and decrease in misclassification when merging clusters is significant. Sensitivity above 90% can be achieved while discriminating among 4 motor tasks.

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