• 제목/요약/키워드: Surface Electromyogram (sEMG)

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Classifying Finger Flexing Motions with Surface EMG Using Entropy and The Maximum Likelihood Method (엔트로피 및 최대우도추정법을 이용한 표면 근전도 기반 손가락 동작 인식)

  • You, Kyung-Jin;Shin, Hyun-Chool
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • 제46권6호
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    • pp.38-43
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    • 2009
  • We provide a method to infer finger flexing motions using a 4-channel surface electromyogram (sEMG). Surface EMGs are harmless to the human body and easily acquired. However, they do not reflect the activity of specific nerves or muscles, unlike invasive EMGs. On the other hand, the non-invasive type is difficult to use for discriminating various motions while using only a small number of electrodes. Surface EMG data in this study were obtained from four electrodes placed around the forearm. The motions were the flexion of the thumb, index, middle, ring, and little linger. One subject was trained with these motions and another left was untrained. The maximum likelihood estimation was used to infer the finger motion. Experimental results have showed that this method could be useful for recognizing finger motions. The average accuracy was as high as 95%.

A Study of Sensing Locations for Self-fitness Clothing base on EMG Measurement (셀프 피트니스 의류 개발을 위한 근전도 센싱 위치 연구)

  • Cho, Hakyung;Cho, Sangwoo
    • Fashion & Textile Research Journal
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    • 제18권6호
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    • pp.755-765
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    • 2016
  • Recently, interest in monitoring health and sports is growing because of the emphasis on wellness, which is accelerating the development and commercialization of smart clothing for biosignal monitoring. In addition to exerciseeffect monitoring clothing that tracks heart rate and respiration, recently developed clothing makes it possible to monitor muscle balance using electromyogram (EMG). The electrode for EMG have to attached to an accurate location in order to obtain high-quality signals in surface EMG measurement. Therefore, this study develops monitoring clothing suitable for different types of human bodies and aims to extract suitable range of EMG according to movements in order to develop self-fitness monitoring clothing based on EMG measurement. This study identified and attached electrodes on six upper muscles and two lower muscles of ten males in their 20s. After selecting six main motions that create a load on muscles, the 8-ch wireless EMG system was used to measure amplitude value, noise, SNR and SNR (dB) in each part and statistical analysis was conducted using SPSS 20.0. As a result, the suitable range for EMG measurement to apply to clothing was identified as four parts in musculus pectoralis major; three parts in muscle rectus abdominis, two parts each in shoulder muscles, backbone erector, biceps brachii, triceps brachii, and musculus biceps femoris; and four part in quadriceps muscle of thigh. This was depicted diagrammatically on clothing, and the EMG-monitoring sensing locations were presented for development of self-fitness monitoring.

Development and Applications of a Wireless Bioelectric Signal Measurement System on the Electrodes (전극 상의 일체형 무선 생체전기신호 측정 시스템 개발 및 응용)

  • Joo, Se-Gyeong;Kim, Hee-Chan
    • Journal of Sensor Science and Technology
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    • 제12권2호
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    • pp.88-94
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    • 2003
  • Electromyogram (EMG) is the bioelectric signal induced by motor nerves. Analyzing EMG with the movement produced by muscle contraction, we can provide input commands to a computer as a man-machine interface as well as can evaluate the patient's motional abnormality. In this paper, we developed an integrated miniaturized device which acquires and transmits the surface EMG of an interested muscle. Developed system measures $60{\times}40{\times}25mm$, weighs 100g. Using an amplifier circuitry on the electrodes and the radio frequency transmission, the developed system dispenses with the use of cables among the electrodes, amplifier, and the post processing system (personal computer). The wiring used in conventional systems can be obstacle for natural motion and source of motion artifacts. In results, the developed system improves not only the signal-to-noise ration in dynamic EMG measurement, but also the user convenience. We propose a new human-computer interface as well as a dynamic EMG measurement system as a possible application of the developed system.

AN INTEGRATED EMG STUDY OF RELATIONSHIPS BETWEEN PREFERRED CHEWING AND SIDE OF INITIAL MUSCLE PAINS (습관적(習慣的) 저작(咀嚼)과 저작근(咀嚼筋)의 동통유발(疼痛誘發)과의 관계에 대한 근전도학적(筋電圖學的) 연구(硏究))

  • Lee, Sung-Bok;Choi, Dae-Gyun;Choi, Boo-Byung;Park, Nam-Soo
    • The Journal of Korean Academy of Prosthodontics
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    • 제24권1호
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    • pp.165-176
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    • 1986
  • The purpose of this study was to investigate electromyographically the relationship between preferred chewing side and side of initial muscle pains. In this study, 20 normal healthy subjects were selected , and each subject chewed randomly chewing gum for 20 minutes to establish preferred chewing side. To induce initial muscle pains, biting force of 10Kg on the gnathodynamometer was maintained by the subjects. And the Bioelectric processor EM2(Myo-Ironies Research, Inc. U.S.A.) with the surface electrodes was used to record the EMG activity during all experimental procedures. The results were as follows; 1. A majority of the present subjects (60%) had a preferred chewing side, but with few exceptions, subjects were unable to explain why a given side was preferred; explanations were only 'comfort' and 'habit' 2. The chewing, or working side was determined largely by the mean voltage of the surface electromyogram (EMG); in comparison with EMG from the non-wlring (contralateral) side, the working (ipsilateral) side showed a higher amplitude. 3. After the effort, the right masseter muscle is the most frequent site of pains, followed by the left masseter muscle, the anterior part of the right temporalis muscle and tile anterior part of the left temporalis muscle. 4. After the effort, mean voltages of masseter muscles were slightly increased, but mean voltages of temporalis anterior were slightly decreased at physiologic rest position. 5. No relationships could be established between preferred chewing side and side of initial muscle pains.

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The Effects of PNF Leg Flexion Patterns according to the Hip Joint Angle on EMG Activity of the Trunk (엉덩관절 각도에 따른 PNF 하지굴곡패턴운동이 체간 근활성도에 미치는 영향)

  • Ki, Kyong-Il;Cho, Hyuk-Shin;Sim, Sun-Mi;Park, Hyun-Ju;Cha, Hyon-Gyu
    • PNF and Movement
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    • 제9권3호
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    • pp.11-17
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    • 2011
  • Purpose : The purpose of this study was to analyze the effects of proprioceptive neuromuscular facilitation (PNF) leg flexion patterns according to the hip joint angle on electromyographic activity of the trunk. Methods : Thirty healthy adults volunteered to participate in this study. Subjects were required to complete following the PNF leg flexion patterns on three different hip joint flexion $30^{\circ}$, $60^{\circ}$ and $90^{\circ}$. An surface electromyogram (SEMG) was used to record the electromyographic activities of the trunk muscle in rectus abdominis, internal oblique abdominal, external oblique abdominal, erector spinae. The data were analyzed using the a repeated measures of one-way ANOVA with post-hoc Bonferroni's correction. Result : The results of this study are summarized as follows: The EMG activities of internal abdominal oblique and elector spinae muscle showed a statistically significant difference (p<.05). Conclusion : The result show that electromyographic activity of the trunk muscles significantly changed on PNF leg flexion patterns with difference hip joint angle. Therefore, this study used to basis for the intervention of the trunk muscle strength and stabilization.

Application of Multiple Fuzzy-Neuro Controllers of an Exoskeletal Robot for Human Elbow Motion Support

  • Kiguchi, Kazuo;Kariya, Shingo;Wantanabe, Keigo;Fukude, Toshio
    • Transactions on Control, Automation and Systems Engineering
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    • 제4권1호
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    • pp.49-55
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    • 2002
  • A decrease in the birthrate and aging are progressing in Japan and several countries. In that society, it is important that physically weak persons such as elderly persons are able to take care of themselves. We have been developing exoskeletal robots for human (especially for physically weak persons) motion support. In this study, the controller controls the angular position and impedance of the exoskeltal robot system using multiple fuzzy-neuro controllers based on biological signals that reflect the human subject's intention. Skin surface electromyogram (EMG) signals and the generated wrist force by the human subject during the elbow motion have been used as input information of the controller. Since the activation level of working muscles tends to vary in accordance with the flexion angle of elbow, multiple fuzzy-neuro controllers are applied in the proposed method. The multiple fuzzy-neuro controllers are moderately switched in accordance with the elbow flexion angle. Because of the adaptation ability of the fuzzy-neuro controllers, the exoskeletal robot is flexible enough to deal with biological signal such as EMG. The experimental results show the effectiveness of the proposed controller.

Development of Wearable Robot for Elbow Motion Assistance of Elderly (노약자의 팔꿈치 거동 지원을 위한 착용형 로봇 개발)

  • Jang, Hye-Yoen;Han, Chang-Soo;Kim, Tae-Sik;Jang, Jae-Ho;Han, Jung-Soo
    • Journal of the Korean Society for Precision Engineering
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    • 제25권3호
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    • pp.141-146
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    • 2008
  • The purpose of this study is to develop the algorithm which can control muscle power assist robot especially for elderly. Recently, wearable robots for power assistance are developed by many researchers, and its application fields are also variable such as for medical or military equipment. However, there are many technical barriers to develop the wearable robot. This study suggest a control method improving performance of a wearable robot system by using a EMG signal of major muscles and a force sensor signal as command signal of system. The result of the robot Prototype efficiency experiment, the case of Maximum Isometric motion it suggest 100% power of muscle, the man need only 66% of MVIC(Maximum Voluntary Isometric Contraction) to lift 5kg dumbbell without robot assist. However the man needs only 52% of MVIC to lift 5kg dumbbell with robot assist. Therefore 20% muscle power increased with robot assist. Also, we designed light weight robot mechanism that extract the command signal verified and drive the wanted motions.

EMG Activities of Core Muscles During Bridging Exercises With and Without a Pilates Resistive Device

  • Kim, Su-Jin;Yoo, Won-Gyu;Kim, Min-Hee;Yi, Chung-Hwi
    • Physical Therapy Korea
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    • 제14권4호
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    • pp.21-27
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    • 2007
  • The purposes of this study were to compare core muscle activities with and without the use of Pilates resistive equipment during bridging exercises and to investigate the efficacy of a Pilates device. Fourteen healthy individuals (6 males, 8 females) between 20 to 26 years of age were examined. They were engaged in a bridging exercise with and without a magic circle. Three consecutive repetitions of each exercise were performed. Surface electromyography (sEMG) was used to measure the electrical activities of the right side internal oblique, the adductor longus, the multifidus, and the gluteus maximus muscles. Normalized EMG activities were compared using a paired t-test and the level of significance was set at =.05. The results showed that the EMG activities of the internal oblique (p=.0078), the adductor longus (p=.0007), and the gluteus maximus (p=.0001) muscles were significantly higher when using the magic circle during the Pilates bridging exercise. Also, statistically significant change existed in the multifidus muscle (p=.0106). The bridging exercise, combined with hip adduction using the magic circle, may enhance core stabilization. Therefore, using a magic circle during hip adduction combined with bridging exercise may be recommended usefully for individuals wanting to strength the core muscles. Further research is needed to access the nature of motor control of the Pilates mat exercises and to deliver exercise intervention for lower back pain patients.

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Automatic EEG and Artifact Classification Using Neural Network (신경망을 사용한 뇌파 및 Artifact 자동 분류)

  • Ahn, Chang-Beom;Lee, Taek-Yong;Lee, Sung-Hoon
    • Journal of Biomedical Engineering Research
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    • 제16권2호
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    • pp.157-166
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    • 1995
  • The Electroencephalogram (EEG) and evoked potential (EP) t;ave widely been used for study of brain functions. The EEG and EP signals acquired from multi-channel electrodes placed on the head surface are often interfered by other relatively large physiological signals such as electromyogram (EMG) or electroculogram (EOG). Since these artifact-affected EEG signals degrade EEG mapping, the removal of the artifact-affected EEGs is one of the key elements in neuro-functional mapping. Conventionally this task has been carried out by human experts spending lots of examination time. In this paper a neural-network based classification is proposed to replace or to reduce human expert's efforts and time. From experiments, the neural-network based classification performs as good as human experts : variation of decisions between the neural network and human expert appears even smaller than that between human experts.

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Comparative Study of Biomechanical Left and Right Elbow Joint Extension Movements After Wheel Axle Application (윤축을 적용한 좌·우 주관절 신전 동작의 운동역학적 비교 연구)

  • Kim, Sung-Joo
    • Korean Journal of Applied Biomechanics
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    • 제21권4호
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    • pp.429-436
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    • 2011
  • In this study, we have experimented with 9 players at the national delegate level. Although there were some differences in the average effects of 3 types of one-two straight movements after the application of wheel axle, there were no statistical differences in the case of surface reacting forces, electromyograms, and impact forces. When the right fist was impacted using the one-two straight movements and the wheel axle was applied with 3 segmentations, high impact forces were obtained for the pronation in the following order-72.01 $m/s^2$ (type 2), 70.93 $m/s^2$ (type 3), and 58.19 $m/s^2$ (type 1). Higher values of the surface reacting force were found for type 1 that did not exhibit pronation in the left foot, whereas in the case of the vertical direction of the right foot, type 2 with pronation exhibited higher values and impact forces. In the right electromyogram, high impact forces due to the activation of the muscular electric potential were obtained for lumbar erector (LE) spinae and triceps brachii (TB) with type 1; LE spina, latissimus dosi (LD), and upper trapezius (UT) with type 2; and brachioradialis (BR), UT, and rectus abdominal (RA) with type 3. Due to pronation and complex motions of the 3 pronation segmentations, the efficiency was higher for impacts due to one-two straight movements.