• 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 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 Study on the Recruitment Pattern and Changes of the Role Assigned to Lower Extremity Muscles by EMG Analysis (근전도를 이용한 하지근육의 동원형태 및 역할분담 분석에 관한 연구)

  • 황규성;정의승;이동춘
    • Proceedings of the ESK Conference
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    • pp.72-83
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    • 1995
  • This study are to investigate the variations of the recruitment patterns of the nine lower extremity muscles, and to analyze the changes of the role assigned to each muscle during the seated posture. For exertion levels, the transition point of type F more unit of each muscle is inferred by analyzing the electromyogram at the seated postures. Also, for predetermined seated foot operations exertion levels, the recruitment pattern and the changes of the role assigned are identified in the continuous exertion, by analyzing the electromyogram change sdue to the accumulated muscle fatigue. The developed model can be used to design and to assess the pedals and foot-related equipments design.

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Ergonomic studies on the height of pillow (베개 높이에 관한 이간공학적 연구[I])

  • 이연순
    • Journal of the Korean Home Economics Association
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    • v.24 no.3
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    • pp.11-18
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    • 1986
  • The height of pillow was investigated from the ergonomics standpoint. The main concern of this research was to investigated the appropriate height of the pillow in lying on one's side. The infestigation in this study was administered to a sample of forty men who were similar to Korean standard body-build. The experiment was conducted under the awakening state. The experimental method was performed using ; 1) Sensuous test 2)Electromyogram survey 3) X-ray observation Sensuous test was performed using both a plain wood board and a slope wood board by jack to objectify. RESULTS : 1) By sensuous test, the height of pillow for the most comfortable state turned up 9.4±1.1cm in lying on one's side. 2) By electromyogram survey and X-ray observation, the numerical value was substantially confirmed well-grounded physiologically and anatomically. Ihope this research will be useful to establishing the suitable height of pillow for Korean.

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Training-Free sEMG Pattern Recognition Algorithm: A Case Study of A Patient with Partial-Hand Amputation (무학습 근전도 패턴 인식 알고리즘: 부분 수부 절단 환자 사례 연구)

  • Park, Seongsik;Lee, Hyun-Joo;Chung, Wan Kyun;Kim, Keehoon
    • The Journal of Korea Robotics Society
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    • v.14 no.3
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    • pp.211-220
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    • 2019
  • Surface electromyogram (sEMG), which is a bio-electrical signal originated from action potentials of nerves and muscle fibers activated by motor neurons, has been widely used for recognizing motion intention of robotic prosthesis for amputees because it enables a device to be operated intuitively by users without any artificial and additional work. In this paper, we propose a training-free unsupervised sEMG pattern recognition algorithm. It is useful for the gesture recognition for the amputees from whom we cannot achieve motion labels for the previous supervised pattern recognition algorithms. Using the proposed algorithm, we can classify the sEMG signals for gesture recognition and the calculated threshold probability value can be used as a sensitivity parameter for pattern registration. The proposed algorithm was verified by a case study of a patient with partial-hand amputation.