Automated functional upper limb evaluation of patients with Friedreich ataxia using serious games rehabilitation exercises

Bruno Bonnechère, Bart Jansen, Inès Haack, Lubos Omelina, Véronique Feipel, Serge Van Sint Jan, Massimo Pandolfo, Bruno Bonnechère, Bart Jansen, Inès Haack, Lubos Omelina, Véronique Feipel, Serge Van Sint Jan, Massimo Pandolfo

Abstract

Background: Friedreich ataxia (FRDA) is a disease with neurological and systemic involvement. Clinical assessment tools commonly used for FRDA become less effective in evaluating decay in patients with advanced FRDA, particularly when they are in a wheelchair. Further motor worsening mainly impairs upper limb function. In this study, we tested if serious games (SG) developed for rehabilitation can be used as an assessment tool for upper limb function even in patients with advanced FRDA.

Methods: A specific SG has been developed for physical rehabilitation of patients suffering from neurologic diseases. The use of this SG, coupled with Kinect sensor, has been validated to perform functional evaluation of the upper limbs with healthy subjects across lifespan. Twenty-seven FRDA patients were included in the study. Patients were invited to perform upper limb rehabilitation exercises embedded in SG. Motions were recorded by the Kinect and clinically relevant parameters were extracted from the collected motions. We tested if the existence of correlations between the scores from the serious games and the severity of the disease using clinical assessment tools commonly used for FRDA. Results of patients were compared with a group a healthy subjects of similar age.

Results: Very highly significant differences were found for time required to perform the exercise (increase of 76%, t(68) = 7.22, P < 0.001) and for accuracy (decrease of 6%, t(68) = - 3.69, P < 0.001) between patients and healthy subjects. Concerning the patients significant correlations were found between age and time (R = 0.65, p = 0.015), accuracy (R = - 0.75, p = 0.004) and the total displacement of upper limbs. (R = 0.55, p = 0.031). Statistically significant correlations were found between the age of diagnosis and speed related parameters.

Conclusions: The results of this study indicate that SG reliably captures motor impairment of FRDA patients due to cerebellar and pyramidal involvement. Results also show that functional evaluation of FRDA patients can be performed during rehabilitation therapy embedded in games with the patient seated in a wheelchair.

Trial registration: The study was approved as a component of the EFACTS study ( Clinicaltrials.gov identifier NCT02069509 , registered May 2010) by the local institutional Ethics Committee (ref. P2010/132).

Keywords: Assessment; Evaluation; Friedreich Ataxia; Kinect sensor; Serious games.

Conflict of interest statement

Ethics approval and consent to participate

All study participants gave their informed, written consent to participation, in line with Belgian ethical guidelines. The study was approved as a component of the EFACTS study by the local institutional Ethics Committee (ref. P2010/132).

Competing interest

The authors declares that they have no competing interest.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Screenshot of the game
Fig. 2
Fig. 2
Mean and 95% confidence interval (CI) of the time for healthy subjects (blue) and patient results (black). Black dots represent individual results of the patients
Fig. 3
Fig. 3
Mean and 95% CI of the accuracy for healthy subjects (blue) and patient results (black). Black dots (right side) and grey squares (left side) represent individual results of the patients. Since no statistically significant difference were found between right and left side mean of the two sides was used for the fitting
Fig. 4
Fig. 4
Results of the time and accuracy expressed in percentage of the values of healthy subjects according to the duration of the disease. Linear fitting with 95% CI is presented with R2
Fig. 5
Fig. 5
Scatter plots and linear regression for the relation between time and accuracy according to age

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Source: PubMed

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