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RISS 인기검색어
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- 저자 : 정철기(Chul-Ki Jung) (검색결과 6 건)
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다중 파라메터를 이용한 동적 수축시 허리 근육 피로 측정에 관한 연구
尹重根(Jung-Gun Yoon),鄭徹奇(Chul-ki Jung),呂松弼(song-Phil Yeo),金成煥(Sung-Hwan Kim) 대한전기학회 2006 전기학회논문지 D Vol.55 No.7
The fatigue of back muscle in the repetitive lifting motion was studied using multiple parameters(FFT_MDF, RMS, ZC, NT) in this study. Recent developments in the time-frequency analysis procedures to compute the IMDF(instantaneous median frequency) were utilized to overcome the nonstationarity of EMG signal using Cohen-Posch distribution. But the above method has a lot of computation time because of its complexity. So, in this study, FFT_MDF(median frequency estimation based on FFT) algorithm was used for median frequency estimation of back muscle EMG signal during muscle work in uniform velocity portion of lumbar movement. The analysis period of EMG signal was determined by using the run test and lumbar movement angle in dynamic task, such as lifting. Results showed that FFT_MDF algorithm is well suited for the estimation of back muscle fatigue from the view point of computation time. The negative slope of a regression line fitted to the median frequency values of back muscle EMG signal was taken as an indication of muscle fatigue. The slope of muscle fatigueness with FFT_MDF method shows the similarity of 77.8% comparing with CP_MDF(median frequency estimation based on Cohen Posch distribution) method.
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표면 근전도를 이용한 이두박근의 운동단위 위치 추정에 관한 연구
박중호(Jung-Ho Park),이호용(Ho-Yong Lee),정철기(Chul-Ki Jung),이진(Jin Lee),김성환(Sung-Hwan Kim) 大韓電子工學會 2010 電子工學會論文誌-SC (System and control) Vol.47 No.3
본 논문에서는 표면 근전도(surface electromyogram, SEMG)를 이용하여 운동단위(motor unit, MU)의 위치(location)를 추정하는 새로운 방법을 제안하였다. 운동단위의 위치에 따라 운동단위 활동전위(motor unit action potential, MUAP), 나아가서는 표면 근전도의 크기(amplitude)가 변화하므로 운동단위의 위치 추정은 근력 추정에 있어서 중요하다. 제안된 방법은 표면근전도 시뮬레이션을 통해 취득한 기준 신호와 3 채널 표면전극을 이용하여 검출한 표면 근전도 신호를 비교하여 운동단위의 위치를 추정하는 방법이다. 운동단위 위치 추정의 정확도를 파악하기 위하여 컴퓨터 시뮬레이션을 통하여 취득한 MUAP를 본 연구에서 제안한 방법 및 기존 방법들을 적용하여 확인하였다. 시뮬레이션 결과 8[㎜] 위치에 운동단위가 위치할 경우 본 논문에서 제안한 운동단위 위치 추정 방법은 0.01[㎜]의 평균 추정 오차를 보였다. 반면에 Roeleveld가 제안한 추정 방법은 2.33[㎜]의 평균 추정 오차를 보였으며 Akazawa가 제안한 추정 방법은 1.70[㎜]의 평균 추정 오차를 보여 본 연구에서 제안한 운동단위 위치 추정 방법이 기존의 방법들에 비하여 더 정확한 위치 추정이 가능하였다. In this paper, a new method to estimate MU (motor unit) location in the short head of BIC (biceps brachii) muscle using surface EMG (electromyogram) is proposed. The SMUAP (single motor unit action potential) is generated from a MU located at certain depth from the skin surface. The depth is referred as MU location. For estimating muscle force precisely, the information of the MU location is required. The reference SMUAPs are simulated based on anatomical structure of human muscle, and compared with acquired real EMG signals using 3-channel surface EMG electrode. The proposed method was compared with the results of previous researchers and verified its accuracy by computer simulation. From the simulation result in case of the MU located in 8[㎜], the average estimation error of proposed method was 0.01[㎜]. But the average estimation error of Roeleveld's method was 2.33[㎜] and Akazawa's method was 1.70[㎜]. Therefore the proposed method was more accurate than the methods of previous researchers.
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金成煥(Sung-Hwan Kim),李浩龍(Ho-Yong Lee),孫東日(Dong-Il Son),鄭徹奇(Chul-Ki Jung),高道英(Do-Young Ko) 대한전기학회 2007 전기학회논문지 Vol.56 No.11
In this study, we present a novel method for estimating the information of MU(motor unit) which is the basic element of human muscle by using surface EMG. Some of the method developed in this field could only estimate the numbers of MU that is activated. However, in our study the MU-simulator based on the line source model was designed to estimate the MU information including the numbers of MU and muscle fiber, conduction velocity, MU diameter, fiber diameter, and end plate position. The SMUAP(single motor unit action potential) detector was designed and CMAP(compound muscle action potential) by electrical stimulus was recorded. With these data, the MU-simulator can estimate the MU information by varying muscle paramater settings through MSE(mean square error) method. Our results shows that the proposed method can be comparable with the method of anatomical studies. Moreover, our system can be utilized to build a tool for diagnosis and treatment assessment of neuromuscular patients.
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신경근육 접합부의 종판 폭과 분포에 따른 운동단위 수의 추정에 관한 연구
이호용(Ho-Yong Lee),김덕영(Duck-Young Kim),박중호(Jung-Ho Park),정철기(Chul-Ki Jung),김성환(Sung-Hwan Kim) 大韓電子工學會 2011 電子工學會論文誌-SC (System and control) Vol.48 No.5
본 논문에서는 표면 근전도(surface electromyogram : SEMG)와 근육모델링을 이용하여 신경근육 접합부(neuromuscular junction, NMJ)의 종판(end plate) 폭(widths)과 분포(distribution)에 따른 운동단위(motor unit, MU)수를 추정하는 새로운 방법을 제안하였다. 이를 위하여 MU-시뮬레이터(motor unit simulator)와 EPZ-시뮬레이터(end plate zone simulator)를 설계하고, 본 연구에서 제안된 방법과 기존방법들을 비교하였다. 제안된 MU-시뮬레이터로 시뮬레이션 된 SMUAP(single motor unit action potential : 단일운동단위활동전위)와 CMAP(compound muscle action potential : 복합근활동전위)은 검출된 근신호와 유사하였다. EPZ-시뮬레이터는 신경근육 접합부의 종판 폭과 분포를 바꾸어 가면서 운동단위수를 추정하기 위하여 설계하였다. 실험결과 운동단위 수는 약 450 개, 근섬유수 약 340 개, 종판 폭은 약 6 ??이고, 종판분포는 불규칙하게 분포된 것(randomly distributed)으로 추정되었다. 본 연구에서 제안된 방법은 인간 근육의 생체조직검사로 측정한 운동단위의 수와 비교가능한 결과가 나왔다. In this paper, a new method to estimate the number of MU (motor unit) related to the widths and distribution of end plate in NMJ (neuromuscular junction) of biceps brachii is proposed by varying muscle parameter statistically in EMG model. This work is done by designing MU-simulator and EPZ-simulator. The proposed method was compared with the results of previous researchers. The proposed MU-simulator generates SMUAP (single motor unit action potential) and CMAP (compound muscle action potential) signal similar to detected SMUAP and CMAP signal obtained from muscle. The EPZ-simulator estimate the numbers of MU by varying the widths and distribution of end plate in neuromuscular junction of muscle. The results shows that the numbers of MU was estimated about 450 ea. and muscle fibers was about 340 ea., end plate widths was about 6 ??, and end plate was randomly distributed. The proposed method may be comparable with the method of anatomical studies.
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