Encontrados 4 documentos, a visualizar página 1 de 1
Correlation Between Pain Intensity and Trunk Sway in Seated Posture Among Offic...
Oliosi, Eduarda; Júlio, Afonso Caetano; Silva, Luís; Probst, Phillip; Vilas-Boas, João Paulo; Pinheiro, Ana Rita; Gamboa, HugoFunding Information: This study was partially funded by the Portuguese Foundation for Science and Technology (FCT) through the project PREVOCUPAI (DSAIPA/AI/0105/2019). This work also received support provided by the FCT, I.P., and the European Union under the project UIDB/05913/2020—Centre for Research, Education, Innovation, and Intervention in Sport (https://doi.org/10.54499/UIDB/05913/2020). P. Probst was s...
Assessment of the Impact of Home-Based Hospitalization on Health Outcomes
Correia Azevedo, Pedro; Rei, Cátia; Grande, Rui; Saraiva, Mariana; Guede-Fernández, Federico; Oliosi, Eduarda; Londral, AnaFunding Information: We would like to thank the Multidisciplinary Team of CUF\u2019s Home Care Unit. FUNDING SOURCES This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Publisher Copyright: © Ordem dos Médicos 2024.; Introduction: In Portugal, evidence of clinical outcomes within home-based hospitalization programs remains limited. Despite the a...
Exploring the Real-Time Variability and Complexity of Sitting Patterns in Offic...
Oliosi, Eduarda; Júlio, Afonso; Probst, Phillip; Silva, Luís M.; Vilas-Boas, João Paulo; Pinheiro, Ana Rita; Gamboa, HugoPublisher Copyright: © 2024 by the authors.; Chronic spinal pain (CSP) is a prevalent condition, and prolonged sitting at work can contribute to it. Ergonomic factors like this can cause changes in motor variability. Variability analysis is a useful method to measure changes in motor performance over time. When performing the same task multiple times, different performance patterns can be observed. This variabi...
Machine Learning Approaches for the Frailty Screening
Oliosi, Eduarda; Guede-Fernández, Federico; Londral, AnaFunding Information: The authors would like to express thanks to Fundação para a Ciência e Tecnologia AI 4 COVID-19 Program for research support. Funding Information: This research was supported by Fundação para a Ciência e Tecnologia (FCT) under Frail.Care.AI project (DSAIPA/AI/0106/2019) and CardioFollow.AI project (DSAIPA/AI/0094/2020). Publisher Copyright: © 2022 by the authors.; Frailty characterizes a sta...