Douglas Almeida <em>et al. </em>2024.
 A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals. In <em>Anais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde</em>, junho 25, 2024, Goiânia/GO, Brasil. SBC, Porto Alegre, Brasil, 61-69. DOI: <a href="https://doi.org/10.5753/sbcas.2024.1872">https://doi.org/10.5753/sbcas.2024.1872</a>.