• Title/Summary/Keyword: Electromyogram

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Case Report: The Effects of Electromyogram-Triggered Neuromuscular Stimulation In the Treatment of Guillain-Barre Syndrome (Guillain-Barre syndrome 환자의 근전도 유발 신경근 전기자극을 이용한 운동회복효과 - 사례연구 -)

  • Kim, Sun-Ho
    • Therapeutic Science for Rehabilitation
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    • v.3 no.1
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    • pp.39-45
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    • 2014
  • Objective : The purpose of this study was to investigate the efficacy of electromyogram-triggered neuromuscular stimulation in the treatment to Guillain-Barre Syndrome patients of through case Study. Methods : The subject was a 66-year old woman who has Guillain-Barre Syndrome, showed wrist and hand function decrease in FMA and JTHFT investigation. She received a electromyogram-triggered neuromuscular stimulation treatment for 4weeks, 1 per day, 30 minute for each(right, left). Results : After 4 week period, wrist and hand function of FMA was observed increase and JTHFT showed improvement in some items. Conclusion : The use of electromyogram-triggered neuromuscular stimulation in the treatment of Guillain-Barre Syndrome who had peripheral neuropathy could been effective to therapy for motor recovery.

Correlation of Human Carpal Motion and Electromyogram (인체 수관절 운동과 근전도의 상관관계)

  • Chun, Han-Yong;Kim, Jin-Oh;Park, Kwang-Hun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.10
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    • pp.1393-1401
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    • 2010
  • In this experimental study, we have examined the correlation between a human carpal motion and a surface electromyogram. The carpal motion patterns have been identified and the main muscles involved in the carpal motion have been determined by investigating the anatomical structure of a carpal. The torque acting against the carpal motion has been applied by using a device for carpal rehabilitation training, and the surface electromyogram signal corresponding to the torque at the main muscles has been measured. The root-mean-square (RMS) magnitude of the surface electromyogram signal has been calculated and used to analyze the correlation between the surface electromyogram signal and carpal motion. The experimental results have proved that for carpal torque values below $0.1\;N{\cdot}m$, the RMS magnitude of the surface electromyogram signal is linearly proportional to the carpal torque magnitude and that the carpal torque magnitude is linearly proportional to the cross-sectional area of the carpal muscles. Further, the analysis of the contribution of each muscle to the carpal motion has shown that the contribution of the most dominant muscle is consistently 60%. These three results can be applied to develop more sophisticated devices or robots for carpal rehabilitation training.

The Case Report on Improved Change of Lumbosacral Radiculopathy Using Acupuncture Therapy and Cox Technique - In the Point of Needle Electromyogram - (침치료 및 Cox 수기요법을 이용한 요천추 신경근병증 환자의 치험 2례 - 침근전도 검사상의 호전을 중심으로 -)

  • Jung, Min-Gyu;Hwang, Hyung-Joo;Park, Young-Hoi;Keum, Dong-Ho
    • Journal of Korean Medicine Rehabilitation
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    • v.19 no.4
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    • pp.203-217
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    • 2009
  • Objectives : We have evaluated the effects of conservative treatment on two patients who were diagnosed to lumbosacral radiculopathy. Methods : Two patients were diagnosed as lumbosacral radiculopathy through needle electromyoram. We used acupuncture therapy, Cox technique to the patients. We measured visual analog scale(VAS) and needle electromyogram before and after treatment. Results : After treating acupuncture therapy, Cox technique in the cases, We find out that the patients were improved, and changed of needle electromyogram result. Conclusions : These results suggest that Cox thechnique and acupuncture therapy were effective to lumbosacral radiculopathy and reduced the low back pain and the leg myasthenic.

Optimal Adaptive Filter Design of M-wave Elimination for Treating Tooth Grinding

  • Yeom, Hojun
    • International journal of advanced smart convergence
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    • v.5 no.4
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    • pp.66-70
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    • 2016
  • When tooth grinding occurs, electrical stimulation is given at the same time, and tooth grinding stops on such stimulation. Electromyography signals are used as control signals of electrical stimulation to disturb tooth grinding. However because of the electrical stimulation, the M-waves are generated and mixed with spontaneous electromyogram. In this study, we designed an optimal filter to remove M-wave and conserve spontaneous electromyogram simultaneously. The inverse power method (IPM) showed that the optimal filter coefficient is the eigenvector corresponding to the minimum eigenvalue of the input covariance matrix. In order to evaluate the performance of the optimal filter, we compared using a conventional band pass filter and adaptive filter using least mean square algorithm. The experimental results show that the optimal filter can effectively remove the M-wave compared to the previously studied prediction error filter.

Analysis on Electromyogram(EMG) Signals by Body Parts for G-induced Loss of Consciousness(G-LOC) Prediction (G-induced Loss of Consciousness(G-LOC) 예측을 위한 신체 부위별 Electromyogram(EMG) 신호 분석)

  • Kim, Sungho;Kim, Dongsoo;Cho, Taehwan;Lee, Yongkyun;Choi, Booyong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.1
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    • pp.119-128
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    • 2017
  • G-induced Loss of Consciousness(G-LOC) can be predicted by measuring Electromyogram(EMG) signals. Existing studies have mainly focused on specific body parts and lacked of consideration with quantitative EMG indices. The purpose of this study is to analyze the indices of EMG signals by human body parts for monitoring G-LOC condition. The data of seven EMG features such as Root Mean Square(RMS), Integrated Absolute Value(IAV), and Mean Absolute Value(MAV) for reflecting muscle contraction and Slope Sign Changes(SSC), Waveform Length (WL), Zero Crossing(ZC), and Median Frequency(MF) for representing muscle contraction and fatigue was retrieved from high G-training on a human centrifuge simulator. A total of 19 trainees out of 47 trainees of the Korean Air Force fell into G-LOC condition during the training in attaching EMG sensor to three body parts(neck, abdomen, calf). IAV, MAV, WL, and ZC under condition after G-LOC were decreased by 17 %, 17 %, 18 %, and 4 % comparing to those under condition before G-LOC respectively. Also, RMS, IAV, MAV, and WL in neck part under condition after G-LOC were higher than those under condition before G-LOC; while, those in abdomen and calf part lower. This study suggest that measurement of IAV and WL by attaching EMG sensor to calf part may be optimal for predicting G-LOC.

Vibration Response of a Human Carpal Muscle (인체 수관절 근육의 진동 응답)

  • Chun, Han-Yong;Kim, Jin-Oh;Park, Kwang-Hun
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.1
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    • pp.31-40
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    • 2011
  • This paper examines the dynamic characteristics of a human carpal muscle through theoretical analysis and experiment. The carpal muscle was modeled as a 1-DOF vibration system and vibration response due to a ramp function force was calculated. The electromyogram signal corresponding to the muscle excitation force was measured, and the excitation force function of an envelope curve from the electromyogram signal was extracted. The ramp input function of electrical stimulation to the carpal muscle was applied by using a device for functional electrical stimulation, and the angular displacements corresponding to steady state response were measured. Theoretical calculations of the vibration response displacements were compared with the experimental results of the angular displacements, and have shown a good agreement with the result that is linearly proportional to the excitation force magnitude. As a result, the relationship between the input current of the electrical stimulation and the excitation force magnitude was inferred. The result was shown that it can be applied to develop rehabilitation training devices.

Electromyogram Pattern Recognition by Hierarchical Temporal Memory Learning Algorithm (시공간적 계층 메모리 학습 알고리즘을 이용한 근전도 패턴인식)

  • Sung, Moo-Joung;Chu, Jun-Uk;Lee, Seung-Ha;Lee, Yun-Jung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.1
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    • pp.54-61
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    • 2009
  • This paper presents a new electromyogram (EMG) pattern recognition method based on the Hierarchical Temporal Memory (HTM) algorithm which is originally devised for image pattern recognition. In the modified HTM algorithm, a simplified two-level structure with spatial pooler, temporal pooler, and supervised mapper is proposed for efficient learning and classification of the EMG signals. To enhance the recognition performance, the category information is utilized not only in the supervised mapper but also in the temporal pooler. The experimental results show that the ten kinds of hand motion are successfully recognized.

A Research on BCI using Coherence between EEG and EMG (EEG와 EMG의 Coherence을 이용한 BCI 연구)

  • Kim, Young-Joo;Whang, Min-Cheol;Kang, Hee
    • Journal of the Ergonomics Society of Korea
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    • v.27 no.2
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    • pp.9-14
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    • 2008
  • Coherence can be used to evaluate the functional cortical connections between the motor cortex and muscle. This study is to find coherence between EEG (electroencephalogram) and EMG (electromyogram) evoked by movement of a hand. Seven healthy participants were asked to perform thirty repetitive movement of right hand for ten seconds with rest for ten seconds. Specific feature of EEG components has been extracted by ICA (independent component analysis) and coherence between EEG and EMG was analyzed from data measured EEG in five local areas around central part of head and EMG in flexer carpri radialis muscle during grabbing movement. Coherence between EEG and EMG was successfully obtained at 0.025 confidence limit during hand movement and showed significant difference between rest and movement at 13-18Hz.

Knee-wearable Robot System Using EMG signals (근전도 신호를 이용한 무릎 착용 로봇시스템)

  • Cha, Kyung-Ho;Kang, Soo-Jung;Choi, Young-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.3
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    • pp.286-292
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    • 2009
  • This paper proposes a knee-wearable robot system for assisting the muscle power of human knee by processing EMG (Electromyogram) signals. Although there are many muscles affecting the knee joint motion, the rectus femoris and biceps femoris among them play a core role in the extension and flexion motion, respectively, of the knee joint. The proposed knee-wearable robot system consists of three parts; the sensor for measuring and processing EMG signals, controller for estimating and applying the required knee torque, and actuator for driving the knee-wearable mechanism. Ultimately, we suggest the motion control method for knee-wearable robot system by processing the EMG signals of corresponding two muscles in this paper. Also, we show the effectiveness of the proposed knee-wearable robot system through the experimental results.

Effects of Xylazine on the Motility of Abomasum and Colon in Cattle (소의 제4위 및 결장 운동성에 xylazine이 미치는 영향)

  • 이인형;이주명;윤영심;장광호;서강문;남치주;권오경
    • Journal of Veterinary Clinics
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    • v.13 no.2
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    • pp.177-183
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    • 1996
  • This study was performed to investigate the effects of xylazine on the motility of abomasum and proximal colon in cattle. Bipolar electrodes were implanted in the subserosa of the abomasum and colon. Electromyogram of the motility was recorded by polygraph after intramuscular administration of xylazine at the doses of 0.1 and 0.2 mg/kg. The mtility of abomasum was completely inhibited at 5~11 minutes after xylazine administration. However, that of the abomasum was reappeared at 15 minutes and greatly increased to supranormal motility at 41~51 minutes, then recovered to normal activity at 70~123 minutes. Meanwhile, the motility of proximal colon was completely inhibited at 3~10 minutes and reappeared at 60~150 minutes after xylazine administration, then recovered gradually to normal pattern at 240 minutes. Our data indicate that xylazine (0.1~0.2 mg/kg) affect on the abomasal motility in a biphasic manner, initial inhibition and following activation, but on the colon motility in a monophasic inhibition.

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