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Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features., , and . Expert Syst. Appl., (2020)Fatigue Analysis in Biceps Brachii Muscles Using Semg Signals and Polynomial Chirplet Transform., and . ICCBB, page 43-47. ACM, (2017)Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach., , and . IEEE Trans. Instrum. Meas., (2021)Analysis of sEMG signals associated with isometric contraction of triceps brachii muscles using multifractals., and . MIPRO, page 279-283. IEEE, (2014)Analysis of Sequential Visibility Motifs in Isometric Surface Electromyography Signals in Fatiguing Condition., and . EMBC, page 2659-2662. IEEE, (2018)A Jacobian approach for calculating the Lyapunov exponents of short time series using support vector regression., , and . J. Ambient Intell. Humaniz. Comput., 11 (8): 3329-3335 (2020)Classification of muscle fatigue using surface electromyography signals and multifractals., and . FSKD, page 669-674. IEEE, (2015)ECG steganography using curvelet transform., , and . Biomed. Signal Process. Control., (2015)Discrete Wavelet Transform and Singular Value Decomposition Based ECG Steganography for Secured Patient Information Transmission., , and . J. Medical Syst., 38 (10): 132 (2014)Unobtrusive Heart Rate Monitoring using Near-Infrared Imaging During Driving., , , and . EMBC, page 2967-2971. IEEE, (2022)