Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals

Journal of Computational Science - Tập 59 - Trang 101544 - 2022
Ramiro Casal1,2,3, Leandro E. Di Persia4,2, Gastón Schlotthauer1,2,3
1Laboratory of Signals and Nonlinear Dynamics, Faculty of Engineering, National University of Entre Ríos (UNER), RP11 Km 10, Oro Verde, E3100, Entre Ríos, Argentina
2National Council of Scientific and Technical Research (CONICET), Argentina
3Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática, UNER - CONICET, Argentina
4Research Institute for Signals, Systems and Computational Intelligence, Faculty of Engineering and Water Sciences, National University of Litoral, Ciudad Universitaria, S3000 Santa Fe, Argentina

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Journal of Computational Science

Tập 59

101544

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