학술논문

Virtual Rehabilitation Program Using Kinect and Leap Motion Sensor Enhances Upper Limb Function in Stroke Patients
Document Type
Conference
Source
2022 E-Health and Bioengineering Conference (EHB) E-Health and Bioengineering Conference (EHB), 2022. :1-4 Nov, 2022
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Video games
Medical treatment
Virtual reality
Stroke (medical condition)
Motion detection
Standards
Extremities
virtual rehabilitation
stroke
Kinect sensor
Leap Motion sensor
interactive video games
Language
ISSN
2575-5145
Abstract
Virtual reality is being increasingly used in the field of rehabilitation. We tested the benefit of a non-immersive virtual rehabilitation program using the Kinect and Leap Motion sensor in the upper limb rehabilitation in subacute and chronic stroke patients. A total of 30 stroke survivors were randomly assigned in two groups in a 1:1 ratio. The active group benefited from 10 sessions of 30 minutes of virtual rehabilitation program added to the standard rehabilitation therapy. The control group received 10 sessions of 1.5 hours/day of standard rehabilitation therapy during their 14 days hospitalization. Upper limb function was assessed using the Action Research Arm Test (ARAT) and Upper Extremity Fugl-Meyer Assessment (UE-FM) at the beginning and at the end of the 14 days of study. The ARAT and UE-FM improvements were significantly higher in the active group compared to the control group. ARAT improvement was 8.13±5.74 points in the active group versus 2(0.25-2) points in the control group, p=0.0003. The UE-FM improvement was 6.86±3.11 points in the intervention group versus 2.2±1.14 points in the control group, p