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IMAS Optimization and Applicability in Acute and Subacute Stroke.

IMAS Optimization and Applicability in Acute and Subacute Stroke.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05469438
Enrollment
30
Registered
2022-07-21
Start date
2021-10-29
Completion date
2025-09-30
Last updated
2025-12-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Stroke

Keywords

Stroke, Rehabilitation, Motor Recovery

Brief summary

The investigator will investigate our Integrated sensor-based Motion Analysis Suite (IMAS) to objectively and quantitatively measure acute stroke patient motor status.

Detailed description

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.

Interventions

None listed

Sponsors

Highland Instruments, Inc.
CollaboratorINDUSTRY
Case Western Reserve University
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

1. Providing informed consent to participate in the study. 2. Age 18 to 85 years old. 3. Clinical presentation and neuroimaging (CTA-CTP/ MRI-MRA) consistent with the diagnosis of Acute Ischemic or Hemorrhagic Stroke. 4. Preserved mental status (Glasgow coma score \>12: E(4), V(5), M (4-6)). 5. Presence of upper limb weakness per the NIHSS (1-2 points in the arm) and ability to perform testing (i.e., NIHSS motor score 1-2 at elbow, wrist, and finger flexion-extension) within 30 days from stroke. (Note that individuals with a prior ischemic or hemorrhagic stroke with available information pertaining superior extremity baseline strength after their previous stroke would qualify). 6. Presence of upper limb weakness per the NIHSS (2 points in the arm) and ability to perform testing (i.e., NIHSS motor score 2 at elbow, wrist, and finger flexion-extension) in subacute stroke. (Note that individuals with a prior ischemic or hemorrhagic stroke with available information pertaining superior extremity baseline strength after their previous stroke would qualify). 7. Baseline Modified Rankin score \<4.

Exclusion criteria

1. History of dementia per relative/ medical records. 2. Presence of receptive aphasia at baseline or after the current acute stroke. 3. Need for rapid clinical response due to conditions such as psychosis, or suicidality. 4. Unstable medical conditions (e.g., uncontrolled diabetes, uncompensated cardiac issues, heart failure, pulmonary issues, or chronic obstructive pulmonary disease); 5. Amputated limbs. 6. Absence of weakness as per the NIHSS (0 points = no drift for motor arm and leg items) or severe motor impairment NIHSS 4 points for motor arm). 7. Stroke mimics (e.g., infections, medication effects from sedatives, electrolyte imbalances, etc.). 8. Stroke worsening between assessments.

Design outcomes

Primary

MeasureTime frameDescription
Coefficient of Determination (R²) for Predicting Fugl-Meyer Upper Extremity Score Recovery Post-stroke.6 - 8 weeks post acute stroke onsetThe 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.

Countries

United States

Participant flow

Pre-assignment details

38 consented, 8 did not meet eligibility, and 30 were enrolled and started.

Participants by arm

ArmCount
Single Arm Stroke Study
30 Acute or Sub Acute Stroke Patients
30
Total30

Baseline characteristics

CharacteristicSingle Arm Stroke Study
Age, Continuous61.96 years
STANDARD_DEVIATION 11.62
Ethnicity (NIH/OMB)
Hispanic or Latino
9 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
21 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Fugl-Meyer45.6 units on a scale
STANDARD_DEVIATION 14.5
Race (NIH/OMB)
American Indian or Alaska Native
1 Participants
Race (NIH/OMB)
Asian
1 Participants
Race (NIH/OMB)
Black or African American
17 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
1 Participants
Race (NIH/OMB)
White
10 Participants
Sex: Female, Male
Female
9 Participants
Sex: Female, Male
Male
21 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 30
other
Total, other adverse events
0 / 30
serious
Total, serious adverse events
0 / 30

Outcome results

Primary

Coefficient of Determination (R²) for Predicting Fugl-Meyer Upper Extremity Score Recovery Post-stroke.

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.

Time frame: 6 - 8 weeks post acute stroke onset

Population: Patients with stroke

ArmMeasureValue (NUMBER)
Single ArmCoefficient of Determination (R²) for Predicting Fugl-Meyer Upper Extremity Score Recovery Post-stroke.0.9 Coefficient of determination (Unitless)

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026