Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke

Conclusion: This work compares the validity of methods classifying stroke survivors’ real-life arm activities measured by wrist-worn sensors excluding whole-body movements. The determined optimal thresholds and machine learning classifiers achieved an equivalent accuracy and higher specificity than conventional thresholds. Our open-sourced classifier or optimal thresholds should be used to specify the intensity and duration of arm use.
Source: Frontiers in Physiology - Category: Physiology Source Type: research