• Journal of rehabilitation welfare engineering & assistive technology
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• v.2 no.1
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• pp.45-49
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• 2009

This paper proposes a data glove for a rehabilitation robot interface for the upper extremity paralysis. The designed data glove uses seven flexible sensors so as to measure the flexion angles of fingers and wrist. We verified the performance of the data glove using a 3D graphic interface developed. The experimental results show that the proposed data glove is feasible to sense hand motions and applicable to the robot interface.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1021-1022
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• 2013

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1023-1024
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• 2013

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1025-1026
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• 2013

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.69-74
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• 2013

In this paper, we propose the pattern classification algorithm of recognizing wrist movements based on electromyogram(EMG) to raise the recognition rate. We consider 30 characteristics of EMG signals wirh the root mean square(RMS) and the difference absolute standard deviation value(DASDV) for the extraction of precise features from EMG signals. To get the groups of each wrist movement, we estimated 2-dimension features. On this basis, we divide each group into two parts with mean to compare and promote the recognition rate of pattern classification effectively. For the motion classification based on EMG, the k-nearest neighbor(k-NN) is used. In this paper, the recognition rate is 92.59% and 0.84% higher than the study before.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.28-36
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• 2020

As many types of magnetic sensors are widely applied in various industries, the analysis and processing of magnetic sensor data need to be accurate. On the other hand, owing to the complexity of the magnetic field line caused by a moving magnet, the magnetic data generated by magnetic sensors are unpredictably nonlinear. Many industry systems using magnetic sensors have struggled with the nonlinear nature of magnetic sensor data. To reduce the effect of the nonlinearity, they have the target objects fixed firmly. Therefore, to collect accurate and reliable data, considerable efforts have been made to resolve the issues with the expensive tools and systems required. Through this paper, to tackle the issues, the data analysis and methodologies, including intelligent algorithms, are presented for the wrist rehabilitation system using magnetic sensors while being implemented without using expensive tools or systems. On processing magnetic sensor data, this paper adopted an intelligent algorithm, fuzzy logic, and compared the performance of other algorithms for comparison.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.26-32
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• 2020

Recently, as various wearable devices and IoT technologies have emerged and been applied to real applications, various sensors have been developed to satisfy their purposes and applied. In even In medical applications, IoT technologies have been applied gradually, and particularly, magnets and magnetic sensors have already been playing an important role in the medical industry. In wrist rehabilitation, this kind of sensor technology has enabled us to easily and conveniently measure wrist movement and gestures because there are no tangled lines required between the magnet and sensor. However, one of the drawbacks is that nonlinear output is generated because of the characteristics of a magnetic field. Also, the movement of the wrist joint involves small bones, and so it is not easy to simply model the movement. In order to resolve these issues and accurately measure sensor data, a calibration procedure is inevitable in the measurement. Thus, this paper proposes a practical model and simple calibration methods for measuring the distance between a magnet and a magnetic sensor.

• Journal of Electrodiagnosis and Neuromuscular Diseases
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• v.20 no.2
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• pp.91-97
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• 2018

Objective: The aim of this study was to compare the electrodiagnostic outcomes of carpal tunnel release in patients with and without diabetes with carpal tunnel syndrome (CTS), and to evaluate the effect of diabetes mellitus (DM) on electrodiagnostic outcomes. Method: We conducted a retrospective analysis of 67 patients with electro-diagnostic evidence of CTS. Patients were classified into two groups according to the presence of DM. Both groups were evaluated using nerve conduction studies preoperatively and 3 weeks and 3 months postoperatively. Results: There were no statistical differences in any of the electrodiagnostic parameters between groups 3 weeks postoperatively. However, there were statistical differences in the amplitude and the latency of compound muscle action potential, and sensory nerve conduction velocity 3 months postoperatively. Conclusion: Patients with DM did not show a significantly different outcome 3 weeks after surgery but showed a worse electrodiagnostic outcome 3 months after surgery than those without DM.

• Clinical Pain
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• v.18 no.2
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• pp.107-110
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• 2019

Flexor carpi radialis (FCR) muscle is located in the forearm anteriorly that runs through a synovial fibro-osseous tunnel in the forearm. We described a case of FCR tendon rupture due to repetitive overuse injury. A 55-year-old man, right-hand dominant, presented with right forearm pain and swelling which started 3 days ago while playing amateur golf. Focal tenderness and bruising over volo-ulnar region of the right forearm were examined. Plain radiographs showed soft tissue edema around lesion area and no detectable fracture. Ultrasonography showed multiple hypoechoic lesions suspected as hematoma of the flexor muscle group. After done magnetic resonance imaging, he was diagnosed with rupture of FCR tendon at proximal origin and strain of flexor digitorum superficialis and palmaris longus muscle. He received compressive dressing and restriction of wrist range of motion for three weeks. Two months later, remaining traces of lesions were observed at the follow-up ultrasonography and the pain disappeared.

• Therapeutic Science for Rehabilitation
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• v.2 no.2
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• pp.61-66
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• 2013

Objective : The purpose of this study was to analysis of disparity between bilateral hand movement when performing activity of daily living using accelerometer. Methods : The subjects of this study included 6 healthy adults. The assessment tool used Jebsen Hand Function Test and accelerometer. The subjects performed 7 sub-tests after wearing accelerometer around wrist. Results : Among sub-tests, writing was the only significantly correlated with difference between dominant and non-dominant hand(t=-2.394, p<.05). Further, non-dominant hand (M=2476.2, SD=802.2) showed more movement than dominant hand(M=1456.2, SD=667.6). Conclusion : This results indicated that accelerometer is useful tool for assessment of bilateral hand movement. Considering demographic characteristics, various subject group, further study is needed.