IRCT20230524058283N1 IRCT 2023-08-10 University of social welfare and rehabilitation sciences the effect of adding virtual reality- based rehabilitation to conventional physiotherapy on functional level,pain and balance in patients after total knee arthroplasty the effect of adding virtual reality- based rehabilitation to conventional physiotherapy on functional level,pain and balance in patients after total knee arthroplasty 2023-08-23 anticipated 40 Complete https://irct.ir/trial/70358 interventional Randomization: Randomized, Blinding: Not blinded, Placebo: Not used, Assignment: Parallel, Purpose: Treatment, Randomization description: Randomization Block method was used for randomization in the present study.we will choose 10 blocks of 4 patients. Randomization Block method has been designed to randomize the distribution of people into the studied groups in such a way that the sample size of the groups is equal. 10 blocks of 4 patients were selected. In each block, an equal number of people was assigned to each group. 10 blocks, were determined, and then blocks of both intervention and control groups were randomized. For example, when a participant entered the study, he was asked to select a block from blocks 1 to 10 and then either A or B. After block selection, the order of the other three subjects was determined randomly.then the information will deliver to secreter in closed envelopes. N/A total knee arthroplasty. Intervention 1: "Intervention group": virtual reality based rehabilitation by Kinect.Patients will do their exercises in front of Kinect's Infra Red cameras from 5th to 10th session with duration of 20 minutes.This technology provides real time visual feedback during exercises. Intervention 2: "Control group": Patients will be treated with standard physiotherapy after total knee arthroplasty surgery that include different modalities for reducing pain and inflammation and doing exercises in all sessions. No - There is not a plan to make this available Justification or reason for not sharing IPD is patients privacy