Matlab toolbox with several functions for time-frequency analysis
Contact: Prof. Adriano Andrade ([email protected])
How to cite this toolbox:
[1] ANDRADE, A.; KYBERD, P.; NASUTO, S. The application of the Hilbert spectrum to the analysis of electromyographic signals. Inf. Sci. (Ny). 2008, 178, 2176–2193. https://doi.org/10.1016/j.ins.2007.12.013
[2] Andrade, A.O.; Kyberd, P.J.; Taffler, S.D. A novel spectral representation of electromyographic signals. In Proceedings of the Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439); Leder, R.S., Ed.; IEEE: Cancun, Mexico, 2003; Vol. 1, pp. 2598–2601. https://doi.org/10.1109/IEMBS.2003.1280447
[3] Andrade, A.O. (2005). Decomposition and analysis of electromyographic signals (PhD thesis). University of Reading, Reading, United Kingdom. https://doi.org/10.13140/RG.2.2.33350.06727