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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The Kinect depth-sensing camera was operated with a frame-rate of 30Hz and was positioned in front of each subject to track the entire arm during FMA motions.

However, a different number of principal components were rugl for each assessment after PCA dimensionality reduction. Subject motion was recorded simultaneously by Kinect for all 13 items.

Fugl-Meyer Assessment of sensorimotor function

In this manner, 8- to fold cross validations for each FMA item were performed. Technology and Health Care ; Assessment of upper limb motor meywr in patients with multiple sclerosis using the Virtual Peg Insertion Test: Authors have also no competing interests relating to employment, consultancy, patents, products in development or modified products along meher this patent.

Total score of FMA for selected items ranged from 0 to The Fugl-Meyer scale has only three levels of assessment for each item.

The primary objectives of this study were to investigate whether Kinect motion data could be used to predict FMA score and whether predicted scores correlated with those measured by an experienced therapist in hemiplegic stroke patients.

Data were stored sequentially with time for the UE joint positions comprising 31 variables including time, and positions of keyer head, shoulder center, shoulder, elbow, wrist and hand.


Fugl-Meyer Assessment of Motor Recovery after Stroke

The degree of jerky motion was btunnstrom transformed to jerky scores. Tele-based assessments by therapists using video are possible but may necessitate scheduling an appointment with the therapist and would involve additional cost.

He and his colleagues developed an assessment scale to overcome this problem. While waiting for a more advanced form of Kinect, another solution is fusion with other hand tracking sensor, such as the Leap Motion device Leap Motion, USAwhich allows precise hand tracking using a hand point cloud below the wrist.

In particular, it has been adopted to solve motion recognition problems in computer vision. An analysis of the precision and reliability of the leap motion sensor and its suitability for static and dynamic tracking.

Introduction 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. Lancet Neurol ; 6: Administration of the motor, sensation and balance subscores range from 34 to minutes, with a mean administration time of 58 minutes.

Scoring is based on direct observation of performance. Open in a separate window. Our cross-validation average error is shown in the prediction accuracy meydr Fig 2.

Thirteen of 33 items were selected for upper extremity motor FMA. In our study, the recording of FMA using Kinect was conducted in the hospital with the supervision of a brunstrom. The post-stroke hemiplegic patient. 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.

One occupational therapist assessed the motor FMA while recording upper extremity motion with Kinect. Jerk t is an 18 dimensional vector because subject motion data has 18 variables six joint x three dimension.

A and B are the results from y-direction hand movements from UE numbers 10 and 61 during the motion for the flexion synergy item in FMA. This may be associated with barriers including costs, travel and limited use of public transportation due to disabilities.


When refering to evidence in academic writing, you should always try to reference the primary original source. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. A few tools in the virtual environment to assess the motor impairment after stroke have been investigated in several prior studies, but the correlations with conventional assessment tools were modest correlation coefficient: An integrated jerky motion varies greatly with the duration and length distance of the movement.

The extracted features from motion captured data and the corresponding FMA scores that were evaluated by one therapist were used to train the ANN model.

The movement of the joint center was used for brunnstron Jerky motion analysis. Data extraction and normalization of Kinect motion data The recorded joint movement data from each FMA assessment were extracted. Journal of the American Physical Therapy Association. InAxel Fugl-Meyer noted that it is difficult to quantify the efficacy of different rehabilitation strategies because of the lack of a numerical scoring system.

Wearable sensors such as smart watches or wrist bands providing positional information can also be applied to solve the occlusion problem in our system.

Kong K-H, Lee J. Topics in Stroke Rehabilitation.

Fugl-Meyer Assessment of Motor Recovery after Stroke – Physiopedia

A supervised learning approach for imbalanced data sets. A method for evaluation of physical performance. One is the occlusion of the body part during tracking by Kinect.