The Fugl-Meyer Assessment (FMA) is a stroke-specific, performance-based following stroke and integrates Brunnstrom’s stages of motor recovery (Gladstone et al. This method of assessment reduces the time required to perform the test. The Fugl-Meyer Assessment (FMA) is a stroke-specific, performance-based NOTE: *The authors have no direct financial interest in any tools, tests or. program were developed for the total Fugl-Meyer motor and sensory assessments; inter-rater reliability was . CRC; and (3) competency testing in which videotapes were submit- . Brunnstrom, a person recovering from hemiparetic stroke.

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FMA using Kinect is a valid way to assess upper extremity function and can provide additional results for movement quality in stroke patients.

Fugl-Meyer Assessment of Motor Recovery after Stroke

S1 File Data file used for analysis. All subjects received detailed information about the study and provided written consent.

One occupational therapist assessed the motor FMA while recording upper extremity motion with Kinect. As both normal side and hemiplegic side data were collected for each subject, 82 motion data captures in total were used to train the ANN model.

Fugl-Meyer Assessment of sensorimotor function – Wikipedia

Stroke is a leading cause of disabilities worldwide[ 1 ] and hemiplegia is the most common impairment after stroke, [ 2 ] resulting in upper extremity UE dysfunction. It is designed to assess motor functioning, balance, sensation and joint functioning in patients with post-stroke hemiplegia [1] [2].


Cross validation of FMA prediction models Experimental data for each assessment were collected from 41 subjects. Demographic and clinical characteristics are summarized in Table 1.

Fugl-Meyer Assessment of Motor Recovery after Stroke – Physiopedia

Temporal recovery and predictors of upper limb dexterity in the first year of stroke: One occupational therapist with two-year experience in the FMA test did the evaluations. Therefore, to reduce variability, multiple rounds of cross-validation were performed using different partitions.

Full body gait analysis with Kinect. Therefore, different numbers of principal components were used to achieve the best accuracy for each assessment item.

The equation for normalized jerk is described in the following equation:. FMA scoring based on pattern recognition from Kinect data To predict a FMA score for each assessment item, an artificial neural network ANN among various pattern recognition algorithms was adopted. Therefore, fug, order to remove the effects, we made the value dimensionless by multiplying the overall duration with the brunnstroj. This is an open access article distributed under the terms of the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Fugl-Meyer Assessment of sensorimotor function

A smooth curve movement like A has a lower jerky score brunnstfom, whereas a high trembling curve like B has a higher jerky motion score.

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Abstract Virtual home-based rehabilitation is an emerging area in stroke rehabilitation. He and his colleagues developed an assessment scale to overcome this problem.

The post-stroke hemiplegic patient. The purchase cost continues to decrease and camera performance continues to increase. Scand J Rehabil Med ; 7: Movement Therapy in Hemiplegia: Fully-automated test of upper-extremity function. Movement Therapy in Hemiplegia: A home-based virtual rehabilitation system could figl a useful alternative for conventional rehabilitation to overcome barriers for outpatient rehabilitation in stroke patients, considering its low cost and greater accessibility.

Angles and distances between two joints for example, hand-shoulder, hand-head and elbow-head are computed from the original position data.

Then data from both arms could be put into the learning system together. The equation for normalized jerk is described in the following equation: An analysis of the precision and reliability of the leap motion sensor and its suitability for static and dynamic tracking.

Length is the maximum distance of a position vector time t from the initial time T brunnetromwhich is the greatest difference of motion distance from the start of motion. Jerk 2 t is two-norm of the jerk meyef.