Listar por autor "Martínez-Martínez, Francisco José"

Mostrando ítems 1-4 de 4

    • Study for the Design of a Protocol to Assess the Impact of Stress in the Quality of Life of Workers 

      Concheiro-Moscoso, Patricia; Groba, Betania; Martínez-Martínez, Francisco José; Miranda-Duro, María del Carmen; Nieto-Riveiro, Laura; Pousada, Thais; Queirós, Cristina; Pereira-Loureiro, Javier (MDPI, 2021-02-03)
      [Abstract] Background: Work stress is one of the most relevant issues in public health. It has a significant impact on health, especially the development of mental disorders, causing occupational imbalance. There is a ...

    • 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 ...

    • Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home 

      Concheiro-Moscoso, Patricia; Groba, Betania; Martínez-Martínez, Francisco José; Miranda-Duro, María del Carmen; Nieto-Riveiro, Laura; Pousada, Thais; Pereira-Loureiro, Javier (SAGE, 2022-08-29)
      [Abstract] Background: Lower quantity and poorer sleep quality are common in most older adults, especially for those who live in a nursing home. The use of wearable devices, which measure some parameters such as the sleep ...

    • 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, ...