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Analysis of Dynamic Contractions from Biceps Brachii Muscle using Surface Electromyography signals and Multiscale Visibility Graph Features.

, and . EMBC, page 2653-2656. IEEE, (2019)

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Classification of muscle fatigue using surface electromyography signals and multifractals., and . FSKD, page 669-674. IEEE, (2015)Fatigue Analysis in Biceps Brachii Muscles Using Semg Signals and Polynomial Chirplet Transform., and . ICCBB, page 43-47. ACM, (2017)Analysis of Sequential Visibility Motifs in Isometric Surface Electromyography Signals in Fatiguing Condition., and . EMBC, page 2659-2662. IEEE, (2018)Analysis of sEMG signals associated with isometric contraction of triceps brachii muscles using multifractals., and . MIPRO, page 279-283. IEEE, (2014)Unobtrusive Heart Rate Monitoring using Near-Infrared Imaging During Driving., , , and . EMBC, page 2967-2971. IEEE, (2022)Emotion Recognition Using Spectral Feature from Facial Electromygraphy Signals for Human-Machine Interface., , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 486-487. IOS Press, (2021)Classification of Tuberculosis Digital Images Using Hybrid Evolutionary Extreme Learning Machines., , and . ICCCI (1), volume 7653 of Lecture Notes in Computer Science, page 268-277. Springer, (2012)Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network., and . EFMI-STC, volume 258 of Studies in Health Technology and Informatics, page 140. IOS Press, (2019)Analysis of Muscle Fatigue Conditions in Surface EMG Signal with A Novel Hilbert Marginal Spectrum Entropy Method., and . EMBC, page 2675-2678. IEEE, (2019)Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals., , and . IET Signal Process., 14 (10): 745-753 (2020)