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

Abstract

Assessing recovery from stroke has been so far a time consuming procedure in which highly trained clinicians are required. This paper proposes a mechatronic platform which measures low forces and torques exerted by subjects. Class posterior probabilities are used as a quantitative and statistically sound tool to assess motor recovery from these force and torque measurements. The performance of the patients is expressed in terms of the posterior probability to belong to the class of normal subjects. The mechatronic platform together with the class posterior probabilities enables to automate motor recovery assessment without the need for highly trained clinicians. It is shown that the class posterior probability profiles are highly correlated, r 0.8, with the well-established Fugl-Meyer scale assessment in motor recovery. These results have been obtained through careful feature subset selection procedures in order to prune the large feature set being generated. The overall approach is general and can be applied to many other health monitoring systems where different categories (diseased vs. healthy) can be identified.

Motor function assessment using wearable inertial sensors

“…These methods have been primarily used for augmenting the rehabilitation process but can also be extended to assessment, as has been shown in the works by Krebs et al [8]. Finally, Van Dijck et al used posterior probability based models for estimating FMA scores by analysing the F/T profile [9].…”

Automated administration of the Wolf Motor Function Test for post-stroke assessment

“…A large body of work in this field focuses on the correlation of quantitative physiological measures to existing assessment instruments, including those mentioned in Section I. Cinkelj and Van Dijck further Mazzoleni's work by describing the robot's software and by evaluating posterior probability profiles of the robotic system [8], [10]. They are able to show correlations between the quantitative F/T measures and the FM score.…”

Inverse kinematics of a 6 DoF human upper limb using ANFIS and ANN for anticipatory actuation in ADL-based physical Neurorehabilitation

“…Due to their high associated acquisition cost, two different ADLs (Soda, Mazzoleni, Cavallo, Guglielmelli, & Iannello, 2010;van Dijck, van Vaerenbergh, & van Hulle, 2009) designed by therapists from the Instituí Guttmann Neurorehabilitation Hospital have been used to train and test both systems: 'serving water from a jar' and 'picking up a bottle'. 'Serving water from ajar' setup is shown in Fig.…”