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Prediction of environmental variables using machine learning during community ambulation in chronic stroke: A pilot study

Prediction of environmental variables using machine learning during community ambulation in chronic stroke: A pilot study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0007200
Enrollment
60
Registered
2022-04-15
Start date
2022-04-01
Completion date
Unknown
Last updated
2022-05-02

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

Conditions

None listed

Interventions

None listed

Sponsors

National Rehabilitation Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: · Chronic stroke disorder with first onset more than 3 months · Able to walk 10m independently using a walking aid (Functional Ambulation Classification (FAC) score of 3 or higher) · Those with gait disturbance due to symptoms such as manual muscle test score of ankle dorsiflexor=3 and foot drop · Appropriate language and cognitive ability to understand and implement the training content (Mini-Mental Status Examination = 24) · Those who agree to the research contents and wish to voluntarily participate in the research

Exclusion criteria

Exclusion criteria: · Those who have contractures or pain in the lower extremities that may affect walking · Those with a history of musculoskeletal system in the ankle (fracture, amputation, sprain, etc.)

Design outcomes

Primary

MeasureTime frame
Machine learning analysis variables: Angular velocity, acceleration, Mucsle activation (Tibialis anterior, Medial gastrocnemius, Rectus femoris, Biceps femoris), Plantar force, Galvanic Skin response

Secondary

MeasureTime frame
Gait analysis variables–Spatiotemporal variables (walking speed, step length, step width, stance time, swing time, symmetry ratio), Joint kinematics (joint range of motion, joint velocity), Muscle activity (tibalis anterior, medial gastrocnemius, quadriceps, hamstrings);Clinical evaluation parameters: Ankle Range of motion (ROM), Manual muscle test (MMT), Plantar cutaneous sensation, Ankle Proprioception, Ankle stiffness, Ankle anthropometry, Berg Balance Scale (BBS), Fugl-Meyer Assessment Lower Extremity (FM-L) ), Fall efficancy scale (FES), Stroke Impact Scale (SIS), Beck Depression Inventory, Brain activity, Metabolic cost

Countries

Korea, Republic of

Contacts

Public ContactJi-Eun Cho

National Rehabilitation Center

wldms880226@hanmail.net+82-2-901-1948

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026