Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality

An extremity rehabilitation program was proposed based on inertial measurement units (IMU) and virtual reality. A single IMU consists of a three-axis accelerometer, gyroscope, and geomagnetic sensors. One IMU is attached to the upper arm (master) and another to the forearm (slave). The IMUs are conn...

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Main Authors: Je-Nam Kim, Mun-Ho Ryu, Ho-Rim Choi, Yoon-Seok Yang, Tae-Koon Kim
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2013-08-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/168078
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author Je-Nam Kim
Mun-Ho Ryu
Ho-Rim Choi
Yoon-Seok Yang
Tae-Koon Kim
author_facet Je-Nam Kim
Mun-Ho Ryu
Ho-Rim Choi
Yoon-Seok Yang
Tae-Koon Kim
author_sort Je-Nam Kim
collection DOAJ
description An extremity rehabilitation program was proposed based on inertial measurement units (IMU) and virtual reality. A single IMU consists of a three-axis accelerometer, gyroscope, and geomagnetic sensors. One IMU is attached to the upper arm (master) and another to the forearm (slave). The IMUs are connected using a distributed sensor network implemented with interintegrated circuit communication. The motion-tracking algorithm running on a PC tracks the subject's hand based on the estimated IMU orientation and segment lengths through forward kinematics. The training contents, including various dynamic movements and static holds, were designed to evaluate the spatiotemporal aspects of the subject's functionality. The system was tested on a group of healthy subjects and a group with a simulated stiff elbow, allowing the evaluations to be quantitatively differentiated. The stiff elbow was simulated by taping the elbow to restrict the range of elbow motion. We expect the patients to be able to assess their own status without assistance from a therapist and select appropriate training methods to increase their rehabilitation effectiveness. Future studies will verify the availability and reliability of the upper extremity rehabilitation program for patients with a hemiplegia, leading to the development of an upper extremity rehabilitation program for three-dimensional movements of the upper extremities.
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spelling doaj.art-3fc5e42fd79e44ac89d7d450d9e6628e2023-09-02T07:00:10ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-08-01910.1155/2013/168078Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual RealityJe-Nam Kim0Mun-Ho Ryu1Ho-Rim Choi2Yoon-Seok Yang3Tae-Koon Kim4 Department of Healthcare Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Republic of Korea Center for Healthcare Technology Development, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Republic of Korea Department of Healthcare Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Republic of Korea Center for Healthcare Technology Development, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Republic of Korea Medical Supply Co., Ltd., 1647-3, Donghwa-ri, Munmak-eup, Wonju-si, Gangwon-do, Republic of KoreaAn extremity rehabilitation program was proposed based on inertial measurement units (IMU) and virtual reality. A single IMU consists of a three-axis accelerometer, gyroscope, and geomagnetic sensors. One IMU is attached to the upper arm (master) and another to the forearm (slave). The IMUs are connected using a distributed sensor network implemented with interintegrated circuit communication. The motion-tracking algorithm running on a PC tracks the subject's hand based on the estimated IMU orientation and segment lengths through forward kinematics. The training contents, including various dynamic movements and static holds, were designed to evaluate the spatiotemporal aspects of the subject's functionality. The system was tested on a group of healthy subjects and a group with a simulated stiff elbow, allowing the evaluations to be quantitatively differentiated. The stiff elbow was simulated by taping the elbow to restrict the range of elbow motion. We expect the patients to be able to assess their own status without assistance from a therapist and select appropriate training methods to increase their rehabilitation effectiveness. Future studies will verify the availability and reliability of the upper extremity rehabilitation program for patients with a hemiplegia, leading to the development of an upper extremity rehabilitation program for three-dimensional movements of the upper extremities.https://doi.org/10.1155/2013/168078
spellingShingle Je-Nam Kim
Mun-Ho Ryu
Ho-Rim Choi
Yoon-Seok Yang
Tae-Koon Kim
Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality
International Journal of Distributed Sensor Networks
title Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality
title_full Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality
title_fullStr Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality
title_full_unstemmed Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality
title_short Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality
title_sort development and functional evaluation of an upper extremity rehabilitation system based on inertial sensors and virtual reality
url https://doi.org/10.1155/2013/168078
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