Fiber-optic Goniometer to Measure Knee Joint Angle for the Diagnosis of Gait Disturbance

Kim, S.G.; Shin, Sung-Hyu; Jeon, Doyoung; Hong, S.H.; Sim, Hyeok In; Jang, Kyoung Won; Yoo, Wook Jae; Lee, B.

doi:10.5370/kiee.2013.62.7.1009

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…The joint angle measurement using electrogoniometer, however, has a drawback of lowering the level of accuracy due to the abrasion of internal resistance caused by repeated use [2][3]. To counter such problems, the study was conducted using attachable sensors such as fiber-optic angle sensor, optical fiber sensor, and internal measurement unit (IMU) to measure the joint angles [4][5][6][7]. Attachable sensors increase the accuracy of the joint angle measurement data by attaching the sensor to the body but it lacks convenience [8][9].…”

Section: Introductionmentioning

confidence: 99%

Mobile Assessment System for Shoulder Joint Rehabilitation: System Development and Preliminary Study

Kim¹,

Jang²,

Yoo³

2014

IJBSBT

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This paper proposes the mobile assessment system for shoulder joint rehabilitation. To monitor the patient's condition during the rehabilitation process, it is necessary to assess the initial condition and monitor the progress before and after the treatment. For the assessment, the shoulder joint angle in certain positions needs to be measured. The proposed system measures and assesses the patient's joint angles in four different positions using smart sensors embedded in the smartphones such as the accelerometer and the gyroscope. The performance of the proposed system is evaluated by comparing the assessment results with measurements using the goniometer.

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Section: Introductionmentioning

confidence: 99%

Mobile Assessment System for Shoulder Joint Rehabilitation: System Development and Preliminary Study

Kim¹,

Jang²,

Yoo³

2014

IJBSBT

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“…When curvature is applied to the optical fiber, the angle of incidence becomes smaller, as shown in Figure 2. Accordingly, through this principle, light loss due to refraction occurs in light rays whose incidence angle is smaller than the critical angle, which is expressed in Equation (1).…”

Section: Bending Loss Of Pofmentioning

confidence: 99%

“…Angle measurement is used in a variety of industries, from the traditional mechanical industry to clinical and motion capture, and related research is actively underway [1][2][3][4]. In particular, various robot systems including biomimetics, the use of which has recently been rapidly increasing, are composed of many joint structures, and the joint structures necessarily involve angle adjustment.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Angle Sensor for Robotics Applications Using Plastic Optical Fiber Based on Optical Loss Mechanism

Lee,

Kim,

Shin

2023

Biomimetics

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Robotic systems and the human body consist of numerous joint structures, all of which require precise angle adjustments. At present, encoder, strain gauge, and electrical resistance-based sensors are commonly used for angle measurement. However, these sensors have limitations when used in underwater or in environments with strong electromagnetic waves. Therefore, we have developed an angle sensor based on step-index profile plastic optical fiber (SI-POF), which is cost-effective and highly durable, in this study in order to overcome the limitations of existing angle measurement sensors. To this end, the amount of light loss according to the gab and angle changes that occur when the POF angle sensor is applied to the robot arm was experimentally measured, and based on the results, a simulation of the amount of light loss when the two losses occurred at the same time was conducted. In addition, the performance of the POF angle sensor was evaluated by measuring sensitivity and resolution, and comparative verification with a commonly used encoder was conducted to verify the reliability of sensors in extreme environments, such as those with electromagnetic fields and those that are underwater. Through this, the reliability and practicality of the POF angle sensor were confirmed. The results obtained in this study suggest that POF-based angle sensors can contribute to the development of the biomimetic robot industry as well as ordinary robots, especially in environments where existing sensors are difficult to apply, such as areas with underwater or electromagnetic interference (EMI).

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“…2 In particular, measurements of knee joint angles, which are related to gait, can be effectively used for the early diagnosis of various diseases like brain lesions such as Alzheimer's disease and Lou Gehrig's disease. 3,4 Hwang et al developed an active foot joint orthosis, which could control dorsi/ plantar flexion of ankle joints and classify gait movements in order to provide the assisting force at a suitable moment for appropriate gait exercises, and also a long-leg orthosis for knee joint control. 5,6 Ferris proposed a powered foot joint orthosis that generated plantar flexion torques at a suitable time by sending active control command signals from a foot switch installed on the sole and classifying gait movements into phases.…”

Section: Introductionmentioning

confidence: 99%

Health Management Monitoring System for Use in Classifying Lower Extremity Movements of the Elderly

Kim¹,

Chong²,

Kim

et al. 2019

J. Mech. Med. Biol.

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Knee joints play an indispensable role in the activities of daily living. In particular, the knee joints of the elderly and the physically challenged require continuous care in order to ensure a healthy daily life. This study proposes a health monitoring system for knee joints, which is able to classify lower extremity movements using the angle and acceleration components of these joints. The proposed monitoring system consists of a wearable frame placed on the knee joint, consisting of a sensor part for monitoring the knee joint angle and acceleration and a wireless communication part for transferring bio signals to a smart device. Knee joint angles and accelerations are measured using potentiometers installed at the hinges of the upper and lower parts of the wearable frame and an inertial sensor (IMU) attached to the thigh. Data thus measured are transferred via Bluetooth to an application on a smart device. The proposed system incorporates a classification algorithm for lower extremity movements, which can distinguish users' actions such as sitting, lying, and standing by using real-time measurements of knee joint angles and accelerations. This study shows that the proposed monitoring system detects postures that negatively affect knee joints and informs a user when these postures are adopted, thereby helping to maintain healthy knee joints.

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Fiber-optic Goniometer to Measure Knee Joint Angle for the Diagnosis of Gait Disturbance

Cited by 6 publications

References 2 publications

Mobile Assessment System for Shoulder Joint Rehabilitation: System Development and Preliminary Study

Mobile Assessment System for Shoulder Joint Rehabilitation: System Development and Preliminary Study

Low-Cost Angle Sensor for Robotics Applications Using Plastic Optical Fiber Based on Optical Loss Mechanism

Health Management Monitoring System for Use in Classifying Lower Extremity Movements of the Elderly

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