2020 IEEE XXVII International Conference on Electronics, Electrical Engineering and Computing (INTERCON) 2020
DOI: 10.1109/intercon50315.2020.9220198
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Development of a wearable motion capture system to evaluate the knee joint angle during stair-climbing in hemiplegics

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Cited by 1 publication
(3 citation statements)
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“…Although high accuracy and robust estimations were reported, these approaches are complex and require prior technical information regarding the IMUs to be used. Here, we proposed a less complex and more practical novel approach (A5) to estimate knee flexion angles during stair ambulation and incline walking by novel combination of two different validated algorithms [40,42]. That approach allowed us to achieve a knee joint flexion angle approach that works during stair ambulation and without a need for prior configuration coefficients during orientation estimation.…”
Section: Methodsmentioning
confidence: 99%
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“…Although high accuracy and robust estimations were reported, these approaches are complex and require prior technical information regarding the IMUs to be used. Here, we proposed a less complex and more practical novel approach (A5) to estimate knee flexion angles during stair ambulation and incline walking by novel combination of two different validated algorithms [40,42]. That approach allowed us to achieve a knee joint flexion angle approach that works during stair ambulation and without a need for prior configuration coefficients during orientation estimation.…”
Section: Methodsmentioning
confidence: 99%
“…Nestares and Callupe developed an algorithm based on orientations of shank and thigh level sensors to evaluate knee joint angle during level walking and stair ascent on HP and SS [42]. The study reported that shank and thigh level sensors' orientation could compute knee flexion angles with high accuracy during level walking and stair ambulation.…”
Section: A5: Knee Angle Estimation During Inclined Walking Stair Asce...mentioning
confidence: 99%
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