• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1492-1495
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• 2008

As a prerequisite of developing muscle biofeedback system which can simulate analogous isokinetic exercise, the purpose of this study was to study the effects of frequency and amplitude of whole-body vibration on the difference in sEMG on lower extremities during leg press exercise with/without vibration. The amplitude of vibration was set to 20, 50, 80 and the frequency of vibration was set to 10, 20, 30, and 50 Hz. EMG were measured at Vastus lateralis muscle and Vastus medialis muscle. MP100 EMG module(BIOPAC system Inc., USA) was used for EMG measurement. The result showed that the combination of frequency of 30Hz and amplitude of 50 had more activated EMG than other combination with relatively small work load (30kg). It is necessary to experiment the frequency between 20 and 40Hz in detail, and to normalize sEMG using maximal voluntary contraction (MVC).

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.10a
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• pp.49-50
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• 2009

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.2
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• pp.103-110
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• 2004

This paper proposes a new method on the EMG AR(autoregressive) modeling in pattern recognition for various head motions. The proper electrode placement in applying AR or cepstral coefficients for EMG signature discrimination is investigated. EMG signals are measured for different 10 motions with two electrode arrangements simultaneously. Electrode pairs are located separately on dominant muscles(S-type arrangement), because the bandwidth of signals obtained from S-type placement is wider than that from C-type(closely in the region between muscles). From the result of EMG pattern recognition test, the proposed mIAR(modified integrated mean autoregressive model) technique improves the recognitions rate around 17-21％ compared with other the AR and cepstral methods.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.51-56
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• 2023

This study investigates the effect of sEMG sampling frequency on CNN learning performance at Korean finger number recognition application. Since the bigger sampling frequency of sEMG signals generates bigger size of input data and takes longer CNN's learning time. It makes making real-time system implementation more difficult and more costly. Thus, there might be appropriate sampling frequency when collecting sEMG signals. To this end, this work choose five different sampling frequencies which are 1,024Hz, 512Hz, 256Hz, 128Hz and 64Hz and investigates CNN learning performance with sEMG data taken at each sampling frequency. The comparative study shows that all CNN recognized Korean finger number one to five at the accuracy of 100% and CNN with sEMG signals collected at 256Hz sampling frequency takes the shortest learning time to reach the epoch at which korean finger number gestures are recognized at the accuracy of 100%.

• Journal of Biomedical Engineering Research
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• v.32 no.4
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• pp.328-335
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• 2011

For human factor engineering and wearable robot design, the quantitative assessment of physical workload is needed. Through measuring the surface EMG (sEMG) and analysis, the physical workload in overhead lifting posture is presented in quantitative manner. By normalizing sEMG activities with maximal voluntary contraction (MVC), the inter-subject variability is reduced. In all muscles, %MVC increased as the weight of lifting object increases. In anterior deltoid muscle, the %MVC was 3-4 times higher than the other muscles which imply that this muscle performs the major role in the overhead lifting posture. In fatigue analysis, %MVC and the mean frequency in muscle of anterior deltoid changed markedly when compared with other muscles. Through the suggested procedures and analysis, the physical workload for a specific posture can be represented in quantitative way but the clinical meaning for the value should be investigated further.

• Journal of Biomedical Engineering Research
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• v.17 no.3
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• pp.379-386
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• 1996

This paper describes an approach for classifying myoelectric patterns using a multilayer perceptrons (MLP's) and hidden Markov models (HMM's) hybrid classifier. The dynamic aspects of EMG are important for tasks such as continuous prosthetic control or vari- ous time length EMG signal recognition, which have not been successfully mastered by the most neural approaches. It is known that the hidden Markov model (HMM) is suitable for modeling temporal patterns. In contrasts the multilayer feedforward networks are suitable for static patterns. Ank a lot of investigators have shown that the HMM's to be an excellent tool for handling the dynamical problems. Considering these facts, we suggest the combination of MLP and HMM algorithms that might lead to further improved EMG recognition systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.153-160
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• 2019

In this paper, we would like to support anyone who can rehabilitate conveniently and happily by implementing rehabilitation device and game contents that can improve the motor ability of fingers. So we developed a Finger Tapping Device that can measure finger-regulation ability, accuracy, and agility and implemented tracking, visual response, finger-regulation on game contents by utilizing this device. The verification of usability was confirmed by analyzing sEMG signals during the execution of three types of game contents after attaching sEMG to the flexor digitorum poundus, which is most involved in finger movement. As a result of the experiment, activation of the flexor digitorum poundus was performed during execution of every game contents. Furthermore, we confirmed that there is a difference in agility by measuring the reaction time for each finger according to the visual response.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.1
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• pp.94-107
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• 2024

This study developed compression pants with excellent wearability and signal quality by approaching the design of wireless sEMG monitoring pants from the perspective of technical design, including the evaluation of wearability and the stable wireless transmission of signals through electrode and circuit design, and using e-textiles. An electrode, sewn with silver thread and a circuit stitched in a zigzag pattern using stainless steel wire, were applied. Additionally, polyurethane sealing tape was used to enhance adherence to the skin and reduce electrical resistance. Conductive snaps completed the design, allowing attachment and detachment to the bio-signal acquisition mainboard. Through the subjects' evaluation, it was determined that the final pants were applied with a pattern reduction rate of 25% to provide superior comfort according to different body parts while also minimizing skin irritation around the thigh circuit. The final pants for wireless sEMG monitoring, which demonstrated stable transmission of wireless measurements, was positively evaluated in terms of cognitive acceptability. This study is significant in that it achieved an optimal design by considering both technical aspects and the electrical characteristics of bio-signal monitoring garments, as well as the wearer's perception when designing smart wear.

• Journal of Korean Physical Therapy Science
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• v.19 no.1
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• pp.55-62
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• 2012

Objectives : The purpose of this study was to determine the effects of high heeled shoes on the static & dynamic balance performance and electromyography(EMG) of back and lower extremity muscles. Materials & Methods : Sixteen women participated in this study. Subjects were composed two groups with LL shoes group and higher heel shoes group. We carried out Romberg's test and muscle activity of left and right Paraspinalis, Quadriceps femoris, Tibialis anterior, Gastrocnemius muscles by EMG in order to determine static balance performance according heel height. Using by Biorescue(Incenierie company), we trained subject to transfer of COG each direction(Anterior, posterior, Right, Left), we carried out this test for distance, surface, distance/surface in order to determine dynamic balance performance according heel height. The data were analyzed by independent t-test between lower and high heel height using SPSS(ver. 17.0)/PC program. Results : There was significant difference of distance(p<.05) of weight perturbation between lower and high group in dynamic balance performance and EMG value of left Gastrocnemius(p<.05), both Tibialis anterior(p<.05) muscle in static balance performance. Conclusions : Height of heel has effect on dynamic balance performance in distance of the Anterior, posterior direction. EMG of Gastrocnemius and Tibialis anterior muscles were affected by Romberg's test.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.6-8
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• 2004

The objective of this paper is to develop a powered wheelchair controller based on EMG for users with high-level spinal cord injury using a proportional control scheme. An advantage of EMG is relative convenience of acquisition by a surface electrode to users. Direction information can be easily extracted from two EMG channels and force information can be acquired by proportional relationship between the amplitude of EMG and user's power, respectively. Pattern classification algorithm is a threshold method with a supervised learning process. Furthermore, the emergency situation can be avoided using an interrupt function. We evaluated the performance of powered wheelchair controller by navigating a pre-defined path with three non-handicapped people. The results show the feasibility of EMG as an input interface for powered wheelchair and other devices for the seriously disabled.