Inertial measurement unit compared to an optical motion capturing system in post-stroke individuals with foot-drop syndrome - 28/05/20
, Benoît Sijobert c, Christine Azevedo c, Karolina Griffiths d, Sandrine Alonso e, Arnaud Dupeyron b, Isabelle Laffont f, Jérôme Froger a
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Highlights |
• | Foot-drop refers to the inability to perform complete ankle dorsiflexion during gait after a stroke. |
• | The data treatment algorithms from inertial measurement units are able to accurately capture kinematic and spatio-temporal gait parameters for post-stroke patients with foot-drop syndrome. |
• | Kinematic and gait parameters obtained from inertial measurement units reflect patient performance. |
Abstract |
Background |
Functional electrical stimulation (FES) can be used for compensation of foot-drop for post-stroke individuals by pre-programmed fixed stimulation; however, this stimulation seems no more effective than mechanical ankle foot orthoses.
Objective |
We evaluated the metrological quality of inertial sensors for movement reconstruction as compared with the gold-standard motion capturing system, to couple FES with inertial sensors to improve dorsiflexion on the paretic side, by using an adaptive stimulation taking into account individuals’ performance post-stroke.
Methods |
Adults with ischemic or hemorrhagic stroke presenting foot-drop and able to walk 10m, were included from May 2016 to June 2017. Those with passive ankle dorsiflexion<0° with the knee stretched were excluded. Synchronous gait was analyzed with the VICON© system as the gold standard and inertial measurement units (IMUs) worn by participants. The main outcome was the dorsiflexion angle at the heel strike and mid-swing phase obtained from IMUs and the VICON system. Secondary outcomes were: stride length, walking speed, maximal ankle dorsiflexion velocity and fatigue detection.
Results |
We included 26 participants [18 males; mean age 58 (range 45–84) years]. During heel strike, the dorsiflexion angle measurements demonstrated a root mean square error (RMSE) of 5.5°; a mean average error (MAE) of 3.9°; Bland-Altman bias of −0.1° with limits of agreement −10.9° to+10.7° and good intra-class correlation coefficient (ICC) at 0.87 between the 2 techniques. During the mid-swing phase, the RMSE was 5.6; MAE 3.7°; Bland-Altman bias −0.9° with limits of agreement −11.7° to+9.8° and ICC 0.88. Good agreement was demonstrated for secondary outcomes and fatigue detection.
Conclusions |
IMU-based reconstruction algorithms were effective in measuring ankle dorsiflexion with small biases and good ICCs in adults with ischemic or hemorrhagic stroke presenting foot-drop. The precision obtained is sufficient to observe the fatigue influence on the dorsiflexion and therefore to use IMUs to adapt FES.
Le texte complet de cet article est disponible en PDF.Keywords : Inertial measurement unit, Kinematic parameters, Foot-drop, Stroke, Functional electrostimulation
Plan
Vol 63 - N° 3
P. 195-201 - mai 2020 Retour au numéro
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