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.
Il testo completo di questo articolo è disponibile in PDF.Keywords : Inertial measurement unit, Kinematic parameters, Foot-drop, Stroke, Functional electrostimulation
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Vol 63 - N° 3
P. 195-201 - Maggio 2020 Ritorno al numero
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