@inproceedings{218967eb7601462aa951b7170f9b9bcc,
title = "Virtual reality applications IMU wireless sensors in the lower limbs rehabilitation training",
abstract = "Prior studies show that self-motions early after a fracture surgery can effectively reduce the tissue viscosity. However, due to the postoperative pain and unawareness of the postoperative limitations, a patient prefers to take medication to alleviate pain while complicated rehabilitation exercises can only be implemented under the limited intervention of a therapist, resulting in the patient's lack of interactive feedback on a daily basis and a failure of self-motions to miss the timing of rehabilitation. Additionally, an assessment for the patient's amount of movements is usually carried out by questioning a caregiver by the medical staff during a clinical interview to organize the patient's self-report because an oral statement is more subjective and difficult to quantify the patient's amount and quality of movements, which may lead to the compiling results that can not be compared or referenced to, and may become a blind spot in the record in the current health care system. This study is intended to develop a lower limb fracture postoperative-guided interactive rehabilitation training system for the hip, knee and ankle joints, and establish a method of motion analysis and a method of motion performance assessment in conjunction with the wireless sensor technology and animation techniques, providing an objective assessment from the caregiver and learning the patient's rehabilitation status with a simple and easy recording means. Additionally, with the design of interactive feedback, the improved postoperative rehabilitations are tried to increase the participant's interest in self-management of health and facilitate to keep tracking the rehabilitation information. The medical evidences show that a guided rehabilitation system can enhance the patient's motive and willingness to be committed to a rehabilitation training as well as increase Quality and Amount of the exercise activity during the training process.",
keywords = "Motion rehabilitation, Virtual reality, Wireless sensor",
author = "Yeh, {Shih Ching} and Chang, {Shun Min} and Hwang, {Wu Yuin} and Liu, {Wen Kang} and Huang, {Tzu Chuan}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.278-280.1889",
language = "???core.languages.en_GB???",
isbn = "9783037855959",
series = "Applied Mechanics and Materials",
pages = "1889--1892",
booktitle = "Advances in Mechatronics and Control Engineering",
note = "2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012 ; Conference date: 29-11-2012 Through 30-11-2012",
}