Victoria HerreraJesus Franklin Andrade RomeroMauricio Améstegui2026-03-222026-03-22201110.1088/1742-6596/285/1/012046https://doi.org/10.1088/1742-6596/285/1/012046https://andeanlibrary.org/handle/123456789/56608Citaciones: 1This work propose a detection and alert algorithm for muscle fatigue in paraplegic patients undergoing electro-therapy sessions. The procedure is based on a mathematical chaotic model emulating physiological signals and Continuous Wavelet Transform (CWT). The chaotic model developed is based on a logistic map that provides suitable data accomplishing some physiological signal class patterns. The CWT was applied to signals generated by the model and the resulting vector was obtained through Total Wavelet Entropy (TWE). In this sense, the presented work propose a viable and practical alert and detection algorithm for muscle fatigue.enElectromyographyChaoticWaveletComputer scienceWavelet transformContinuous wavelet transformPattern recognition (psychology)Artificial intelligenceSIGNAL (programming language)Approximate entropyarticle