Inflammation and Post-Stroke Depression
NCT02368145
Acute Stroke, Brain Diseases
New Brunswick, New Jersey, United States
View Trial DetailsNCT Number: NCT05469438
The investigator will investigate our Integrated sensor-based Motion Analysis Suite (IMAS) to objectively and quantitatively measure acute stroke patient motor status.
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Notify Me18 year–85 year
All sexes
Observational
Ciro Ramos Estebanez, MD., Ph.D., MBA, FNCS., Chicago, Illinois, United States
The investigator will evaluate the feasibility of our IMAS to assess 30 stroke subjects in 5 sessions (the first 4 proximal to stroke onset and the last session ~6-8 weeks post stroke). The investigator will test IMAS in 30 acute stroke subjects; and extract quantitative movement kinematic/kinetic metrics descriptive of subjects' motor behavior (e.g., arm movement speed, smoothness). Subjects will undergo a series of upper limb focused assessments including Fugl Meyer, Barthel Index, and Orpington Prognostic Scale assessments. The investigator will also collect demographics, and stroke clinical information such as imaging data.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 6 - 8 weeks post acute stroke onset
The coefficient of determination (R²) quantifies how well the predictive model explains variance in Fugl-Meyer Upper Extremity recovery scores. This unitless measure ranges from -∞ to 1, with higher values indicating better model fit (i.e. better prediction).
Additional Detail: A sensor suite assessed movement kinematics (e.g., time, position, velocity), and software predicted recovery from baseline characteristics. We report R² for the best-performing model predicting end-of-study FM score from day-one FM score, using leave-one-out cross-validation (~24 degrees of freedom). Models with fewer degrees of freedom may yield lower R² due to overfitting control.
Case Western Reserve University
Other
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