Browsing by Subject "Polysomnography"

Now showing items 1-5 of 5

    • Computer-assisted analysis of polysomnographic recordings improves interscorer associated agreement and scoring times 

      Álvarez-Estévez, Diego; Rijsman, Roselyne M. (Public Library of Science, 2022-09)
      [Abstract]: Study objectives To investigate inter-scorer agreement and scoring time differences associated with visual and computer-assisted analysis of polysomnographic (PSG) recordings. Methods A group of 12 expert scorers ...

    • Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal 

      Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Springer Nature, 2019-06-26)
      [Abstract] Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the Polysomnogram, which is a collection of different signals recorded ...

    • Quality of sleep data validation from the Xiaomi Mi Band 5 against polysomnography: comparison study 

      Concheiro-Moscoso, Patricia; Groba, Betania; Álvarez-Estévez, Diego; Miranda-Duro, María del Carmen; Pousada, Thais; Nieto-Riveiro, Laura; Mejuto Muiño, Francisco Javier; Pereira-Loureiro, Javier (JMIR Publications, 2023-05)
      [Abstract] Background: Polysomnography is the gold standard for measuring and detecting sleep patterns. In recent years, activity wristbands have become popular because they record continuous data in real time. Hence, ...

    • Study protocol on the validation of the quality of sleep data from Xiaomi domestic wristbands 

      Concheiro-Moscoso, Patricia; Martínez-Martínez, Francisco José; Miranda-Duro, María del Carmen; Pousada, Thais; Nieto-Riveiro, Laura; Groba, Betania; Mejuto Muiño, Francisco Javier; Pereira-Loureiro, Javier (MDPI, 2021-01-27)
      [Abstract] Background: Sleep disorders are a common problem for public health since they are considered potential triggers and predictors of some mental and physical diseases. Evaluating the sleep quality of a person may ...

    • Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit 

      Martínez-Martínez, Francisco José; Concheiro-Moscoso, Patricia; Miranda-Duro, María del Carmen; Docampo Boedo, Francisco; Mejuto Muiño, Francisco Javier; Groba, Betania (MDPI AG, 2020-08-21)
      [Abstract] Polysomnography (PSG) is currently the accepted gold standard for sleep studies, as it measures multiple variables that lead to a clear diagnosis of any sleep disorder. However, it has some clear drawbacks, ...