Analysis of myoelectric signals recorded during dynamic contractions

@article{citeulike:755363, abstract = {This article presents the theoretical considerations that justify the choice of specific time-frequency transforms for processing nonstationary myoelectric signals as a method of studying fatigue prior to the failure point. It shows some preliminary results obtained by applying these techniques to computer-synthesized realizations of stochastic processes, as well as to real signals detected during different types of dynamic contractions of healthy human volunteers. Five different time-frequency transforms were applied in this study (the Wigner-Ville, the smoothed Wigner-Ville, the Cone kernel, the reduced interference, and the Choi-Williams), but for the sake of brevity, this article reports only the results obtained by applying the Choi-Williams transform, because the authors found it to be the most suitable for processing these specific signals}, author = {Bonato, P. and Gagliati, G. and Knaflitz, M. }, citeulike-article-id = {755363}, comment = {This article presents the theoretical considerations that justify the choice of specific time-frequency transforms for processing nonstationary myoelectric signals as a method of studying fatigue prior to the failure point. It shows some preliminary results obtained by applying these techniques to computer-synthesized realizations of stochastic processes, as well as to real signals detected during different types of dynamic contractions of healthy human volunteers. Five different time-frequency transforms were applied tin our study. The Wigner – Ville, the smoothed Wigner-Ville, the Cone kernel, the reduced interference, and the Choi-Williams, but for the sake or brevity, this article reports only the results obtained by applying the Choi-Williams transform, because we found it to be the most suitable for processing these specific signals. }, journal = {Engineering in Medicine and Biology Magazine, IEEE}, keywords = {1996, cite026, emg, time-frequency}, number = {6}, pages = {102--111}, posted-at = {2006-07-12 22:26:01}, priority = {3}, title = {Analysis of myoelectric signals recorded during dynamic contractions}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=544517}, volume = {15}, year = {1996} }

TY - JOUR ID - citeulike:755363 L3 - citeulike-article-id:755363 TI - Analysis of myoelectric signals recorded during dynamic contractions JF - Engineering in Medicine and Biology Magazine, IEEE VL - 15 IS - 6 SP - 102 EP - 111 N2 - This article presents the theoretical considerations that justify the choice of specific time-frequency transforms for processing nonstationary myoelectric signals as a method of studying fatigue prior to the failure point. It shows some preliminary results obtained by applying these techniques to computer-synthesized realizations of stochastic processes, as well as to real signals detected during different types of dynamic contractions of healthy human volunteers. Five different time-frequency transforms were applied in this study (the Wigner-Ville, the smoothed Wigner-Ville, the Cone kernel, the reduced interference, and the Choi-Williams), but for the sake of brevity, this article reports only the results obtained by applying the Choi-Williams transform, because the authors found it to be the most suitable for processing these specific signals KW - 1996 KW - cite026 KW - emg KW - time-frequency N1 - This article presents the theoretical considerations that justify the choice of specific time-frequency transforms for processing nonstationary myoelectric signals as a method of studying fatigue prior to the failure point. It shows some preliminary results obtained by applying these techniques to computer-synthesized realizations of stochastic processes, as well as to real signals detected during different types of dynamic contractions of healthy human volunteers. Five different time-frequency transforms were applied tin our study. The Wigner – Ville, the smoothed Wigner-Ville, the Cone kernel, the reduced interference, and the Choi-Williams, but for the sake or brevity, this article reports only the results obtained by applying the Choi-Williams transform, because we found it to be the most suitable for processing these specific signals. AU - Bonato, P AU - Gagliati, G AU - Knaflitz, M PY - 1996/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=544517 ER -