Recovery of Motor Skills With the Use of Artificial Intelligence and Computer Vision
NCT06183970 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 90
Last updated 2023-12-28
Summary
To investigate the impact of algorithms utilizing artificial intelligence technology and computer vision on the recovery of motor functions within the context of rehabilitation practice for patients who have experienced a cerebral stroke.
Conditions
- Stroke
- Hemiparesis
- Spasticity as Sequela of Stroke
- Dysmetria
Interventions
- DEVICE
-
AssistI patients
The AsistI software package rehabilitation involves tailored upper limb exercises under an individual program. The regimen consists of 10-12 sessions, each lasting 30 minutes. Patients execute 10 exercises sequentially with their unaffected and affected limbs, involving tasks like touching mouth, forehead, and trunk parts with hand's brush, and amplitude movements in upper limb joints. AsistI assesses exercise accuracy, prevents unfavorable patterns, and logs target achievement, considering speed, accuracy, and repetitions.
- DEVICE
-
Habilect patients
The Habilect rehab program involves 10-12 sessions using software and hardware. Patients perform upper limb exercises for 30 minutes individually, focusing on specific movements. They repeat 10 exercises, first with the healthy limb, then the affected one. Tasks include touching mouth, forehead, and trunk, along with joint movements like shoulder flexion. Habilect assesses exercise accuracy, preventing wrong moves, and tracks progress, considering speed, accuracy, repetitions.
Sponsors & Collaborators
-
Moscow Technical University of Communications and Informatics
collaborator UNKNOWN -
Federal Center of Cerebrovascular Pathology and Stroke, Russian Federation Ministry of Health
lead OTHER
Principal Investigators
-
Michael Gorodnichev · Moscow Technical University of Communication and Informatics (MTUCI)
-
Galina Ivanova, Prof · Federal Center of Cerebrovascular Pathology and Stroke, Russian Federation Ministry of Health
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2024-02-29
- Primary Completion
- 2024-08-31
- Completion
- 2025-02-28
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