지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
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Most of the statistical signal analysis processed in the time domain and the frequency domain are based on the assumption that the signal is weakly stationary(wide sense stationary). Therefore, it is necessary to know whether the surface EMG signals processed in the statistical basis satisfy the condition of the weak stationarity. The purpose of this study is to find optimal segment length of surface EMG signal for assessing stationarity with the modified Run-test and RA-test. Ten stationary surface EMG signals were simulated by AR(autoregressive) modeling, and ten real surface EMG signals were recorded from biceps brachii muscle and then modified to have non-stationary structures. In condition of varying segment length from 20ms to 100ms, stationarity of the signals was tested by using six different methods of modified Run-test and RA-test. The results indicate that the optimal segment length for the surface EMG is 30ms~35ms, and the best way for assessing surface EMG signal stationarity is the modified Run-test (Run2) method using this optimal length.
목차
Abstract
1. 서론
2. 정상성 검증
3. 실험 방법
4. 결과 및 검토
5. 결론
References
참고문헌 (13)
참고문헌 신청
J.V. Basmajian / 1985 / Muscles alive :Their functions revealed by electromyography / Williams & Wilkins
A. Papoulis / 1965 / Probability, random variables and stochastic processes / Mcgraw-Hill
R. Merletti / 1997 / Surface EMG signal processing during isometric contraction / J. Electromyogr. Kinesiol. 7(4):241~250
D. Farina / 2000 / Comparison of algorithms for estimation of EMG variables during voluntary isometric contraction / J. Electromyogr. Kinesiol. 10:337~349
J. Lee / 1995 / Real time implementation of time varying nonstationary signal identifier and its application to muscle fatigue monitoring / J. of KOSOMBE 16(3):317~324
A. Papoulis / 1965 / Probability, random variables and stochastic processes / Mcgraw-Hill
R. Merletti / 1997 / Surface EMG signal processing during isometric contraction / J. Electromyogr. Kinesiol. 7(4):241~250
D. Farina / 2000 / Comparison of algorithms for estimation of EMG variables during voluntary isometric contraction / J. Electromyogr. Kinesiol. 10:337~349
J. Lee / 1995 / Real time implementation of time varying nonstationary signal identifier and its application to muscle fatigue monitoring / J. of KOSOMBE 16(3):317~324
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UCI(KEPA) : I410-ECN-0101-2015-500-002499236