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A low-cost approach for wide-spread screening of periodic leg movements related to sleep disorders., , , and . IHTC, page 105-108. IEEE, (2017)FPGA implementation of adaptive segmentation for non-stationary biomedical signals., , and . IET Circuits Devices Syst., 4 (3): 239-250 (2010)Compressive Sensing of Foot Gait Signals and Its Application for the Estimation of Clinically Relevant Time Series., and . IEEE Trans. Biomed. Eng., 63 (7): 1401-1415 (2016)New channel model for wireless body area network with compressed sensing theory., , and . IET Wirel. Sens. Syst., (2013)Robust identification of QRS-complexes in electrocardiogram signals using a combination of interval and trigonometric threshold values., and . Biomed. Signal Process. Control., (2020)Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA., and . EMBC, page 2551-2554. IEEE, (2019)Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach., , and . Frontiers Digit. Health, (2021)Advanced K-means clustering algorithm for large ECG data sets based on K-SVD approach., , and . CSNDSP, page 177-182. IEEE, (2014)Increasing the reliability of wireless body area networks based on compressed sensing theory., , and . CCECE, page 1-5. IEEE, (2013)Combining Vocal Source and MFCC Features for Enhanced Speaker Recognition Performance Using GMMs., and . MMSP, page 365-368. IEEE, (2007)