2017
DOI: 10.1007/s00381-017-3580-1
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Measuring upper limb function in children with hemiparesis with 3D inertial sensors

Abstract: Inertial sensor measurements reliably identify paresis and correlate with clinical measurements; they can therefore provide a complementary dimension of assessment in clinical practice and during clinical trials aimed at improving upper limb function.

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Cited by 23 publications
(51 citation statements)
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“…Quantitative measurements, such as movement time and smoothness, showed a strong correlation with Action research arm test scores in patients after stroke [7]. Spatiotemporal parameters (e.g., ROM, movement time) extracted from inertial sensors’ data provided an accurate evaluation of patients with multiple sclerosis and they distinguished affected and unaffected upper limbs in children with hemiparesis significantly [60, 62].…”
Section: Discussionmentioning
confidence: 99%
“…Quantitative measurements, such as movement time and smoothness, showed a strong correlation with Action research arm test scores in patients after stroke [7]. Spatiotemporal parameters (e.g., ROM, movement time) extracted from inertial sensors’ data provided an accurate evaluation of patients with multiple sclerosis and they distinguished affected and unaffected upper limbs in children with hemiparesis significantly [60, 62].…”
Section: Discussionmentioning
confidence: 99%
“…The smoothness of a movement can be affected by spasticity which is a major issue in CP 59 . Higuchi's fractal 60 dimension was used for this purpose in children with hemiplegia to assess the smoothness/ roughness of the affected upper limb 61 . Fractal dimension was computed on the shank pitch angular velocity time series, for each gait cycle.…”
Section: Walking Bout Characterizationmentioning
confidence: 99%
“…(iii) Global physical activity (resting and active states with intensity, posture and gait periods via bar-code parameters) will be measured using wrist sensors [57,58] (automatic calibration, simple positioning, similar to a watch on each wrist). The main outcome will be the percentage of total time spent in movement (i.e.…”
Section: Movement Parameters (T0 and T2)mentioning
confidence: 99%