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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Robust neural learning from unbalanced data samples. Log jerky scores between hemiplegic and non-hemiplegic side were compared using paired t-test. 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. This tool has the potential to be a useful and inexpensive tele-assessment tool of post-stroke motor function in the home-based setting.


In this context, there have been efforts to reduce the FMA item; one study suggested reducing the items for UE evaluation to six.

From Wikipedia, the free encyclopedia. One of the subsamples constitutes testing data and others are training data. Please review our privacy policy. We used re-sample techniques and cross-validation to minimize errors from dataset imbalance. When refering to evidence in academic writing, you should always try to reference the primary original source.

Reduction to between four and 10 dimensions was done for highly associated principle components. In order to meyeer this issue, we generated integrated jerky motion data that were dimensionless.

Support Center Support Center. While waiting teat 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.


Further study to validate this tool in the home-based setting is required. Measurements of acute cerebral infarction: Data used for analysis are available from S1 File.

Data were saved in text file format. The Fugl-Meyer assessment of motor recovery after stroke: Archived from the original on 24 September Furthermore, use of a cloud computing system with machine learning ability, such as Microsoft Azure ML, Amazon Machine Learning or IBM Watson Analytics, will facilitate develop of a prediction model capable of self-learning whenever new patient data is uploaded, and to predict FMA score using the model in the absence of a specialist.

Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: Before the motion was recorded, the therapist entered subject information including recording arm side and the recording assessment item number into the recoding program. It takes approximately minutes to administer the total FMA.

Fugl-Meyer Assessment of sensorimotor function – Wikipedia

It is designed to assess motor functioning, balance, sensation and joint functioning in patients with post-stroke hemiplegia [1] [2]. Variables Results Age, years a Results Characteristics of the patients Among 44 patients who agreed to participate, 41 completed the FMA. Physiopedia is not a substitute for professional advice or expert medical services from a qualified healthcare provider.

DOCX Click here for additional data file. Patients were excluded if they were younger than 18 years of age; had serious medical complications requiring intensive care, such as pneumonia, urinary tract infection, acute coronary syndrome, inability fulg provide written informed consent and any other conditions that might interfere with participation. Views Read Edit View history.

Fugl-Meyer Assessment of sensorimotor function

The maximum total score that can be obtained in Fugl Meyer assessment isthough it is common practice to assess all domains separately. The motor domain includes items assessing movement, coordination, and reflex action of the shoulder, elbow, forearm, wrist, hand, hip, knee, and ankle. The content on or accessible through Physiopedia is for informational purposes only.


Normalized jerky data based on jerky motion analysis is also used as an additional feature. The value includes movement times and distance. In machine learning and cognitive science, ANNs are statistical learning models inspired by biological neural networks that have become popular in solving various problems in diverse fields. Most items in the UE motor domain are based on patient motion, although reflex or resistance has to be measured in a few items.

A and B are the results from y-direction hand movements from UE numbers 10 and bruunnstrom during the motion for the flexion synergy item in FMA. Categorical variables are presented as frequencies percentages. Assessing upper extremity motor function in practice of virtual activities of daily living.

Fugl-Meyer Assessment of Motor Recovery after Stroke – Physiopedia

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. C is an example of the results of jerky motion analysis. Data extraction and normalization of Kinect motion data The recorded joint movement data from each FMA brunnsyrom were extracted.

Assessing the degree of jerky motion using Kinect motion data The evaluation of the movement impairment in this study is based on the integrated squared jerk.

Therefore, in order to remove the effects, we made the value dimensionless by multiplying the overall duration with brhnnstrom length. Jerk 2 t is two-norm of the jerk vector. Parkinsonism reduces coordination of fingers, wrist, and arm in fine motor control.

The k-fold means that the sample is randomly partitioned brunjstrom k subsamples. Journal of the American Physical Therapy Association. Open in a separate window.