Time Varying Delay Estimators for Measuring Muscle Fiber Conduction Veloity: Effects of Non-stationarity of the Data
| Autor: | Olivier Buttelli, Philippe Ravier, Thanh Tung Ngo, Trung Duy Tran, Hanh Tan, Gia-Thien Luu |
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| Rok vydání: | 2017 |
| Předmět: |
Time delays
medicine.diagnostic_test Spectral density Estimator 020206 networking & telecommunications 02 engineering and technology Electromyography Muscle fiber conduction velocity Thermal conduction Non stationarity Control theory 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Muscle fibre Mathematics |
| Zdroj: | 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) ISBN: 9789811043604 |
| DOI: | 10.1007/978-981-10-4361-1_70 |
| Popis: | Muscle Fiber Conduction Velocity (MFCV) can be calculated from the time delay between the surface electromyographic (sEMG) signals recorded by electrodes aligned with the fiber direction. In order to take into account the nonstationarity during the dynamic contraction (the most daily life situation) of the data, the proposed methods have to consider that the MFCV changes over the time, which induces non-constant time delays. In this study, the effect of the nonstationarity (change of Power Spectral Density) of the sEMG signals on the performance of the time-varying delay estimators recently developed by our group is investigated. This study presents a set of approaches for instantaneous delay estimation from two-channels EMG signals. The performance of the estimators is evaluated and compared through Monte-Carlo simulations in order to determine if their performance statistics are sufficient for practical applications. |
| Databáze: | OpenAIRE |
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