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Spectral Correlation Density based Electrohysterography Signal Analysis for the Detection of Preterm Birth.

, , and . MeMeA, page 1-5. IEEE, (2022)

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Analysis of Sequential Visibility Motifs in Isometric Surface Electromyography Signals in Fatiguing Condition., and . EMBC, page 2659-2662. IEEE, (2018)Fatigue Analysis in Biceps Brachii Muscles Using Semg Signals and Polynomial Chirplet Transform., and . ICCBB, page 43-47. ACM, (2017)Unobtrusive Heart Rate Monitoring using Near-Infrared Imaging During Driving., , , and . EMBC, page 2967-2971. IEEE, (2022)Classification of muscle fatigue using surface electromyography signals and multifractals., and . FSKD, page 669-674. IEEE, (2015)Analysis of sEMG signals associated with isometric contraction of triceps brachii muscles using multifractals., and . MIPRO, page 279-283. IEEE, (2014)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 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)A Binary Bat Approach for Identification of Fatigue Condition from sEMG Signals., and . SEMCCO, volume 8947 of Lecture Notes in Computer Science, page 480-489. Springer, (2014)Evaluation of Flow-Volume Spirometric Test Using Neural Network Based Prediction and Principal Component Analysis., , and . J. Medical Syst., 35 (1): 127-133 (2011)Evaluation of geometric differences between right and left lungs in bacterial pneumonia chest radiographs., , , and . Biomed. Signal Process. Control., (August 2023)