Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks

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ObjectiveAssessing recovery after stroke has been so far a time consuming procedure in which trained clinicians are required. A demand for automated assessment techniques arises due to the increasing number of patients with stroke and the continuous growth of new treatment options. In this study, we investigate the applicability of isometric force and torque measurements in activity of daily living tasks to assess the functional recovery after stroke in an automated way.

论文关键词:Activity of daily living tasks,Hybrid filter-wrapper feature selection,Mutual information,Stroke recovery

论文评审过程:Received 4 January 2008, Revised 12 February 2009, Accepted 11 March 2009, Available online 5 May 2009.

论文官网地址:https://doi.org/10.1016/j.artmed.2009.03.001