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Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection., , , , and . Appl. Soft Comput., (2019)Editorial: Biomedical Signals for Human-Computer Interaction., , and . Frontiers Comput. Sci., (2021)Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data imputation techniques., , , and . Comput. Biol. Medicine, (2021)Version Reporting and Assessment Approaches for New and Updated Activity and Heart Rate Monitors., , , , , , and . Sensors, 19 (7): 1705 (2019)Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering., , , , , , , and . IEEE Access, (2017)Classifier Precision Analysis for Sleep Apnea Detection Using ECG Signals., , , and . IEEE Access, (2020)Elderly mobility analysis during Timed Up and Go test using biosignals., , , and . DSAI, page 240-245. ACM, (2016)Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction - A systematic literature review., , , and . Artif. Intell. Medicine, (2021)Identification of Activities of Daily Living Using Sensors Available in off-the-shelf Mobile Devices: Research and Hypothesis., , , and . ISAmI, volume 476 of Advances in Intelligent Systems and Computing, page 121-130. Springer, (2016)The effect of time slot parameters on slotted optical burst switched networks., , , and . APCC, page 625-630. IEEE, (2011)