Background: Hemiplegia is one of the main reasons why stroke survivors lose their walking and balancing ability. Many studies point out that cycling is an effective means for lower limb rehabilitation. However, during training, the unaffected limb may compensate for the affected one resulting in suboptimal rehabilitation. To address this issue, the investigators developed the virtual reality-cycling training system (VRCTS) which can acquire force and speed signals in real-time through a cycling module. The system then analyzes the acquired data and uses a 3D VR rehabilitation program to help patients to train their affected side. The aim of the study was to develop the VRCTS, verify its function and test system function on both normal subjects and stroke patients.
Methods: In this system, the investigators designed a cycling device that is embedded with load cell and encoder sensors to detect cycling force and angle in real-time. A Cycling Graph User Interface Control and Data Recode System (Cycling CR System) was applied for signal analysis and feedback control. The investigators designed a 3D interactive VR rehabilitation program that can guide and train the users through visual feedback. Each user performed a pre-test to examine determine condition, left-right balance and other parameters, which allows the system to be customized.
- Virtual reality-cycling training system Device
ARM 1: Kind: Experimental Label: virtual reality-cycling training system
- Masking: Open Label
- Purpose: Treatment
- Intervention: Single Group Assignment
|Type||Measure||Time Frame||Safety Issue|
|Primary||pedal force of affected leg||up to 24 weeks||Yes|
|Secondary||asymmetrical ratio index||up to 24 weeks||Yes|