• Journal of Biomedical Engineering Research
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• v.28 no.1
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• pp.29-35
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• 2007

This study was designed to investigate the feasibility to utilize the electromyogram (EMG) for estimating the muscle torque. The muscle torque estimation plays an important role in functional electrical stimulation because electrical stimulation causes muscles to fatigue much faster than voluntary contraction, and the stimulation intensity should then be modified to keep the muscle torque within the desired range. We employed the neural network method which was trained using the major EMG parameters and the corresponding knee extensor torque measured and extracted during isometric contractions. The experimental results suggested that (1) our neural network algorithm and protocol was feasible to be adopted in a real-time feedback control of the stimulation intensity, (2) the training data needed to cover the entire range of the measured value, (3) different amplitudes and frequencies made little difference to the estimation quality, and (4) a single input to the neural network led to a better estimation rather than a combination of two or three. Since this study was done under a limited contraction condition, the results need more experiments under many different contraction conditions, such as during walking, for justification.

• The Journal of Korea Robotics Society
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• v.15 no.1
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• pp.62-69
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• 2020

This paper proposes a pattern recognition and classification algorithm based on a circular structure that can reflect the characteristics of the sEMG (surface electromyogram) signal measured in the arm without putting the placement limitation of electrodes. In order to recognize the same pattern at all times despite the electrode locations, the data acquisition of the circular structure is proposed so that all sEMG channels can be connected to one another. For the performance verification of the sEMG pattern recognition and classification using the developed algorithm, several experiments are conducted. First, although there are no differences in the sEMG signals themselves, the similar patterns are much better identified in the case of the circular structure algorithm than that of conventional linear ones. Second, a comparative analysis is shown with the supervised learning schemes such as MLP, CNN, and LSTM. In the results, the classification recognition accuracy of the circular structure is above 98% in all postures. It is much higher than the results obtained when the linear structure is used. The recognition difference between the circular and linear structures was the biggest with about 4% when the MLP network was used.

• Journal of the Ergonomics Society of Korea
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• v.22 no.2
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• pp.57-69
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• 2003

This study was performed to investigate the isometric endurance time as percentages of maximum voluntary contraction. Electromyogram(EMG) and Borg's CR-I0 value were measured by push-pull-up-down tasks for 10 healthy males. The normalized EMG value and the MPF(mean power frequency) were used to estimate the muscle recruitment pattern and the development of muscle fatigue. The subjects exerted and maintained 5 levels of %MVC(maximum voluntary contraction) in $90^{\circ}$ shoulder flexion/ 180oelbow extension at sitting posture. The up-task showed the lower endurance time and higher Borg's CR-I0 value than the other task types. Comparing Rohmert's curve with the endurance time of task types. Rohmert's curve overestimated the endurance time of up-task and underestimated the endurance time of push-pull-down tasks. The normalized EMG value showed that muscles recruitment patterns were different from task types. The 4 muscles(biceps brachii muscle, tricep brachii muscle. middle deltoid muscle. trapezius muscle) recruitment patterns of up-task were higher than those of other tasks. The MPF value decreased with the endurance time, and the shift of MPF at up-task was larger than that of the other task types.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.55-58
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• 1997

In this paper, we study a signal processing method which extracts each MUAP(motor unit action potential) from EMG(Electromyogram) interference pattern or clinical diagnostic purposes. First of all, differential digital filtering is selected or eliminating the spike components of the MUAP's from the background noise. And, the algorithm identifies the spikes over the certanin threshold by template matching in frequency domain. After missing or false firing actor is cut off at the IPI(inter pulse interval) histogram, we averages the MUAP waveforms from the raw signal using the identified spikes as triggers, and Finally, measures their amplitudes, durations, and numbers of phases. Specially, We introduce algorithm performed by template matching in the frequency domain. A typical 3-s signal recorded from the biceps brachii muscle using a conventional needle electrode during a isometric contraction is used. Finally, the method decomposed five simultaneous active MUAP's from original EMG signal.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.26 no.2
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• pp.55-61
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• 2020

Background: This study demonstrate the effect of bridge exercise using sling device on the improvement of gluteal maximus and elector Spine EMG (electromyogram) in college student. Methods: 30 college students participated in this experiment and received bridge exercise using sling device for 30 minutes a day for four weeks. Results: The effects of bridge exercise using sling device were evaluated by measuring the muscle activation on gluteal maximus and elector spine. The differences between pre-test and post-test in G-max (p<.05) and right elector spine (p<.05) were significant. The difference between in G-max left and right side was not significant both before (p<.05) and after (p<.05) bridge exercise using sling. The difference between in elector spine left and right side was not significant before bridge exercise using sling (p<.05) but after bridge exercise using sling (p<.05). Conclusion: The results indicated that bridge exercise using sling device improved gluteal maximus and elector spine EMG. This study demonstrated the effectiveness of this new approach and provided a good guide to improve gluteal maximus and elector spine EMG.

• The Korean Journal of Physiology and Pharmacology
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• v.2 no.6
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• pp.687-693
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• 1998

This study was performed to examine the mean arterial pressure and nociceptive jaw opening reflex after microinjection of glutamate into the amygdala in freely moving rats, and to investigate the mechanisms of antinociceptive action of amygdala. Animals were anesthetized with pentobarbital sodium (40 mg/kg, ip). A stainless steel guide cannula (26 gauge) was implanted in the amygdala and lateral ventricle. Stimulating and recording electrodes were implanted into each of the incisor pulp and anterior digastric muscle. Electrodes were led subcutaneously to the miniature cranial connector sealed on the top of the skull with acrylic resin. After 48 hours of recovery from surgery, mean arterial pressure and digastric electromyogram (dEMG) were monitored in freely moving rats. Electrical shocks (200 ${\mu}sec$ duration, $0.5{\sim}2$ mA intensity) were delivered at 0.5 Hz to the dental pulp every 2 minutes. After injection of 0.35 M glutamate into the amygdala, mean arterial pressure was increased by $8{\pm}2$ mmHg and dEMG was suppressed to $71{\pm}5%$ of the control. Injection of 0.7 M glutamate elevated mean arterial pressure by $25{\pm}5$ mmHg and suppressed dEMG to $20{\pm}7%$ of the control. The suppression of dEMG were maintained for 30 minutes. Naloxone, an opioid receptor antagonist, inhibited the suppression of dEMG elicited by amygdaloid injection of glutamate from $28{\pm}4\;to\;68{\pm}5%$ of the control. Methysergide, a serotonin receptor antagonist, also inhibited the suppression of dEMG from $33{\pm}5\;to\;79{\pm}4%$ of the control. However, phentolamine, an ${\alpha}-adrenergic$ receptor antagonist, did not affect the suppression of dEMG. These results suggest that the amygdala can modulate both cardiovascular and nociceptive responses and that the antinociception of amygdala seems to be attributed to an augmentation of descending inhibitory influences on nociceptive pathways via serotonergic and opioid pathways.

• Journal of Biomedical Engineering Research
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• v.34 no.2
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• pp.63-68
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• 2013

Activeness of exercise is critical for stroke rehabilitation so that application of stimulation in response to patient's intention would be effective in FES cycling. The purpose of this study was to investigate the relationship between muscle reaction force (MRF) and electromyogram (EMG) during cycling exercise, for the future usage of MRF as patients' intention signal. Seven young men ($24{\pm}1.63$ yrs) participated in this study. Cycling speed was set to 20 RPM and 60 RPM. MRF and EMG were measured in the vastus lateralis muscle of right leg. Active cycling was performed at the maximal load (16 Nm) of an ergometer. Angle dependent artifact in MRF was measured from passive cycling and was subtracted from the MRF of active cycling. The delay of MRF with respect to EMG envelope and their correlation coefficients were derived from the best of cross correlation. MRF was significantly correlated with EMG amplitude in all subjects (p<0.01). Their mean correlations were 0.84 and 0.91 for 20 RPM and 60 RPM, respectively. Mean delay in MRF was 59.14 ms and 53.14 ms for 20 RPM and 60 RPM, respectively. The result suggests that MRF can be used to assess patient's intention for exercise as a substitute to EMG. The method may be applied to FES cycling to encourage patient's effort which is critical for stroke rehabilitation.

• Korean Journal of Veterinary Research
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• v.47 no.4
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• pp.469-473
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• 2007

This study was performed to investigate the effects of urinary acupoint (BL-23, BL-28) by acupuncture (AP) and electroacupuncture (EA) on urinary bladder in dogs. Four healthy male dogs aged within the range of 6~8 months were used in this experiment. For Electrodes implantation on the bladder, dogs were to undergo surgical operation. The purpose of investigating the effect on urinary bladder was to evaluate electromyogram (EMG) changes according to AP or EA at Shen Shu (BL-23), Pang Guang Shu (BL-28) and non-acupoint. AP and EA (2~4 V, 10 Hz) were applied for 20 min to each point. EMG was evaluated when acupuncture began stimulation and as soon as the stimulation by electroacupuncture was gone. By the experiment of investigating the effect of urinary time it was estimated to measure time up to urination from stimulation on effective acupoint, after saline was filled with 70% of whole volumes on urinary bladder. The wave of EMG on resting stage showed simple and regular, whereas that of EMG on urination showed irregularly strong peaks before urination. Acupuncture of BL-28 had an influence on changes of EMG which had irregular peaks on urination. But the changes of EMG after acupuncture of BL-28 and control were regular like resting stage. The changes of EMG after EA at BL-23 and BL-28 showed irregularly a variety of wave forms. The interval through urination from stimulation at BL-28 and control become short as measuring time by EA (p<0.01). According to the results, AP at BL-28 was effective to urinary bladder. EA at BL-23 and BL-28 was effective to urinary bladder. Especially, the interval on stimulating at BL-28 by EA was the shortest in measuring time to urination from stimulation.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2007.05a
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• pp.121-124
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• 2007

최근 각종 질환의 원인이 되고 있는 비만은 심각한 사회문제로 대두되고 있으며, 이를 해결하기 위해 비만관리를 위한 측정 시스템의 필요성이 증가하고 있다. 본 논문은 비만관리를 위해 복부의 근전도 신호를 분석해서 언제 어디서든 본인의 건강상태를 체크하여 적절한 의료 서비스를 받을 수 있는 측정 시스템에 관한 연구이다. 복부 근전도 신호 분석을 위해서 에너지 검출, 신호 특징 추출, 상태 분류 및 인식 등을 위한 알고리즘을 제안한다. 이 신호 분석 알고리즘을 측정 시스템에 적용하여 복부의 비만도 및 복부의 근력을 평가하여 건강상태에 대한 적절한 평가를 제공하는 시스템을 제안한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.177-180
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• 2002

The type of physiological stress involved in driving is probably complex, and a comprehensive study involving recording of physiological signals such as electrocardiogram(ECG), electromyogram(EMG). Changes in relevant Physiological parameters, such as ECG, EMG, reflected changes in driver status. In order to derive the mental and physical load of driving a motor vehicle from driving behaviour alone it is necessary to establish the relationship between changes in a driver's physiological parameters and behavioral parameters. In this study, we choose two different condition and investigated driver's status using HRV analysis method. Many previous studies have shown that increasing driving time causes a variation of HRV signal.