Model for prompt and effective classification of motion recovery after stroke considering muscle strength and coordination factors.
Álvaro Costa-García, Ken-Ichi Ozaki, Hiroshi Yamasaki and 6 others
PMID 31684980WHAT IT FOUND
Stroke patients differed from healthy people in how muscle signals were balanced between sides and shared among muscles.
Patients with the same impairment score could have different muscle problems, so a score may not guide therapy choice.
Key findings
01Stroke patients generally differed from healthy subjects on the indexes, while healthy young and healthy elder subjects did not differ significantly.
02Patients with the same SIAS impairment level could have different problems: some had near-normal coordination but poor side-to-side strength balance, and others had balanced strength but poor coordination.
03During elbow flexion, patients at SIAS level 5 had higher average muscle coordination than healthy groups, but the difference was not statistically significant.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
The study included 18 stroke patients and 30 healthy subjects, so the model was tested on a small sample. The paper did not test whether the indexes change therapy selection or improve patient outcomes; it says the data were used only to validate the model. Stroke patients were tested over a 6-month period while receiving daily rehabilitation, and only patients whose SIAS level did not change were analysed, so results may not apply to early rapid recovery. The model compares the paretic side with the non-paretic side and assumes the non-paretic side is healthy, which could mislead if that side is also affected. It was evaluated only during two bimanual symmetric motions, not unimanual daily tasks.
The easy way to misread this
Do not conclude that these EMG indexes can already guide stroke therapy choice. The paper used the data only to validate the model and did not test rehabilitation benefit or patient outcomes.