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Beyond Observation: Validating the Ecological Relevance of the Ad-AHA Stroke Using Sensor-Based Measures

C

Catholic University (KU) of Leuven

Status

Enrolling

Conditions

Bimanual Function
Stroke
Upper Limb Motor Impairment

Treatments

Other: Sensor-based monitoring and clinical assessment

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

After a stroke, many people experience difficulty using both hands together in daily life. Most rehabilitation assessments, however, only measure how the affected arm performs in one-handed tasks. This makes it difficult to understand how well people actually use their hands in real-world activities, which are usually bimanual.

The Adult Assisting Hand Assessment - Stroke version (Ad-AHA Stroke) is a new clinical test that evaluates how the affected hand performs during two-handed tasks. While promising, it is still unknown whether the score on this test truly reflects how stroke survivors use their hands in daily life.

This study aims to investigate this question by comparing Ad-AHA Stroke scores with real-life data on hand use, recorded over three days using wrist-worn sensors on both arms. By combining clinical and sensor-based measures, this study will help determine whether the Ad-AHA Stroke can accurately represent everyday bimanual performance after stroke.

Full description

This is a single-center, cross-sectional observational study designed to examine the relationship between Ad-AHA Stroke scores and real-life bimanual hand use derived from accelerometry data in chronic stroke survivors.

Enrollment

32 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Written informed consent obtained prior to any study procedures.
  • Age between 18 and 80 years (inclusive).
  • Unilateral supratentorial stroke involving cortical or subcortical structures.
  • At least 6 months post-stroke at the time of inclusion.
  • Community-dwelling (discharged from hospital and currently living at home).
  • Able and willing to wear bilateral wrist-worn sensors (triaxial accelerometers) for three consecutive days.
  • Presence of clinically observable bimanual impairment.

Exclusion criteria

  • Severe upper limb impairment, defined as a Fugl-Meyer Assessment of Upper Extremity (FMA-UE) score ≤ 15.
  • Severe cognitive or language comprehension impairment interfering with understanding of study instructions or task performance, as judged during screening.
  • Presence of other neurological or orthopedic conditions affecting upper limb function (e.g., Parkinson's disease, multiple sclerosis, severe osteoarthritis, brachial plexus injury).

Trial contacts and locations

1

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Central trial contact

Geert Verheyden, PhD; Yue Zou, PhD Candidate

Data sourced from clinicaltrials.gov

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