Development[ edit ] In , Axel Fugl-Meyer noted that it is difficult to quantify the efficacy of different rehabilitation strategies because of the lack of a numerical scoring system. He and his colleagues developed an assessment scale to overcome this problem. The construction of this scale was based on the then existing knowledge about recovery patterns in stroke. Fugl-Meyer was particularly influenced by the paper authored by Thomas Twitchell, titled The Restoration of Motor Functioning Following Hemiplegia in Man  and observations on post-stroke patients by Signe Brunnstrom. However, Fugl-Meyer test still holds good, possibly because it follows a hierarchical scoring system based on the level of difficulty in performing the tasks. A zero score is given for the item if the subject cannot do the task.
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Jerk 2 t is two-norm of the jerk vector. Overall process of FMA prediction. In machine learning and cognitive science, ANNs are statistical learning models inspired by fkgl neural networks that have become popular in solving various problems in diverse fields. The Journal of Neuroscience ; Rehabilitation Measures Database Our cross-validation average error is shown in the prediction accuracy result Fig 2.
Coordinated movement is impaired after stroke; motions are not smooth but rather become jerky. In most cases Physiopedia articles are a secondary source and so should not be used as references. From Wikipedia, the free encyclopedia. Supporting Information S1 Appendix Data clipping. The evaluation of the movement impairment in this study is based on the integrated squared jerk. Items of the FMA are intended to assess recovery within the context of the motor meyeg. Automated assessment of upper extremity movement impairment due to stroke.
This quantitative measure can be used for follow-up of changes in movement in a manner that equivalent in quality to robotic devices but less expensive.
The prediction target of each item score 0, 1 or 2 was evaluated by one therapist. This article has been cited by other articles in PMC. However, a different number of principal components were selected for each assessment after PCA dimensionality reduction.
Before the motion was recorded, the therapist entered subject information including recording arm side and the recording assessment item number into the recoding program. Scandinavian Journal of Rehabilitation Medicine. Microsoft kinect sensor and its effect.
The FMA scoring system using Kinect is valid and provides additional quantitative measures of motion smoothness in stroke patients. When refering to evidence in academic writing, you should always try to reference the primary original source.
Categorical variables are presented as frequencies percentages. The other three patients were not removed from the study during the FMA but refused to do the test after enrollment. Fugl-Meyer Assessment of Motor Recovery after Stroke However, the best way to solve this problem is to gather the more patient data. Data file used for analysis. Views Read Brunnstrlm View history.
Duration is the length of the clipped data. The overall process fkgl this cross validation is described in more detail in the S3 Appendix. 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.
Fugl-Meyer Assessment of Motor Recovery after Stroke
Fugl-Meyer Assessment of sensorimotor function