25 documents found, page 1 of 3
Assessing resilience potentials in management of occupational safety and health...
Fernandes, Joana Afonso; Barbosa, Judite Lopes; Arezes, Pedro; Ferreira, María del Carmen Pardo; Rubio-Romero, Juan Carlos; Rodrigues, Matilde A.A resilient Occupational Safety and Health (OSH) management system is crucial for effectively addressing potential future public emergencies, ensuring the continuous protection of workers’ safety and health. Therefore, it is essential for organizations, particularly hospitals, to assess their resilient performance and employ tools that are appropriate and tailored to their specific context. This study aims to e...
Overcoming challenges in video-based health monitoring: real-world implementati...
Ferreira, Simão; Marinheiro, Catarina; Mateus, Catarina; Rodrigues, Pedro Pereira; Rodrigues, Matilde A.; Rocha, NunoIn the context of evolving healthcare technologies, this study investigates the application of AI and machine learning in video-based health monitoring systems, focusing on the challenges and potential of implementing such systems in real-world scenarios, specifically for knowledge workers. The research underscores the criticality of addressing technological, ethical, and practical hurdles in deploying these sy...
Overcoming challenges in video-based health monitoring: real-world implementati...
Ferreira, Simão; Marinheiro, Catarina; Mateus, Catarina; Rodrigues, Pedro Pereira; Rodrigues, Matilde A.; Rocha, Nuno; Ferreira, Simão; Mateus, CatarinaIn the context of evolving healthcare technologies, this study investigates the application of AI and machine learning in video-based health monitoring systems, focusing on the challenges and potential of implementing such systems in real-world scenarios, specifically for knowledge workers. The research underscores the criticality of addressing technological, ethical, and practical hurdles in deploying these sy...
Interventions based on biofeedback systems to improve workers’ psychological we...
Ferreira, Simão; Rodrigues, Matilde A.; Mateus, Catarina; Rodrigues, Pedro Pereira; Rocha, Nuno Barbosa; Ferreira, Simão; Rodrigues, MatildeIn modern, high-speed work settings, the significance of mental health disorders is increasingly acknowledged as a pressing health issue, with potential adverse consequences for organizations, including reduced productivity and increased absenteeism. Over the past few years, various mental health management solutions, such as biofeedback applications, have surfaced as promising avenues to improve employees' men...
Assessing work-related musculoskeletal disorders and psychosocial risks in bus ...
Silva, Tânia T.; Mendes, Tatiana R.; Lapa, Inês; Carvalho, Paulo; Rodrigues, Matilde A.; Rodrigues, Matilde; Carvalho, PauloThe public transport sector plays a crucial role in society, oering essential services and providing employment to a significant number of drivers. Despite the importance of this sector, it is essential to recognize that drivers are exposed to various occupational risks inherent to their daily work, which can have serious implications for their health. This study aims to characterize and analyse Work-Related Mu...
From controlled to chaotic: Disparities in laboratory vs real-world stress dete...
Ferreira, Simão; Rodrigues, Fátima; Kallio, Johanna; Coelho, Filipe; Kyllonen, Vesa; Rocha, Nuno; Rodrigues, Matilde A.; Vildjiounaite, ElenaThis paper explores the discrepancies between laboratory and real-world stress detection, emphasizing the pronounced differences in data loss, data preprocessing, feature design, and classifier selection. Laboratory studies offer a controlled environment that optimizes data quality, whereas real-world settings introduce chaotic and unpredictable elements, coupled with a diverse range of human behaviours, result...
Preventive behaviors among higher education students in response to COVID-19: t...
Peralta, Catarina; Silva, Manuela V.; Dores, Artemisa R.; Silva, Marina Almeida; Pinto, Marta Vasconcelos; Ramos, Delfina; Rodrigues, Matilde A.In response to the COVID-19 pandemic, higher education institutions adopted a set of measures to ensure safe face-to-face teaching and to control potential outbreaks. However, the effectiveness of the implemented measures is dependent on the behavior of students, who are generally young, often displaced, living with other colleagues, and constantly seeking physical contact, which makes their behavior outside th...
Understanding musculoskeletal loadings among supermarket checkout counter cashi...
Silva, Tânia T.; Sousa, Catarina; Colim, Ana; Rodrigues, Matilde A.Work-related musculoskeletal disorders (WMSD) are highly prevalent among supermarket cashiers. These disorders are frequently related to the adoption of awkward postures and manual materials handling. This study aimed to analyze musculoskeletal loadings in supermarket cashiers, considering the handling of different products and different checkout conditions. To accomplish this, we employed an inertial motion ca...
International environmental health skills, knowledge, and qualifications: Enhan...
Ross, Kirstin E.; Dyjack, David T.; Choonara, Adam; Davis, Gayle; Dawson, Henry; Hannelly, Toni; Lynch, Zena; Mitchell, Graeme; Ploompuu, IngaEnvironmental health is practiced primarily at the local level; however, many of the skills held by environmental health practitioners (EHPs) are transferable globally. There is currently a shortage of EHPs in many parts of the world and formally recognizing the transferability of skills and knowledge within the profession might encourage people to consider environmental health as a profession, helping to addre...
An integration of intelligent approaches and economic criteria for predictive a...
Gholamizadeh, Kamran; Zarei, Esmaeil; Yazdi, Mohammad; Rodrigues, Matilde A.; Shirmohammadi-Khorram, Nasrin; Mohammadfam, IrajOccupational accidents are a significant concern, resulting in human suffering, economic crises, and social issues. Despite ongoing efforts to comprehend their causes and predict their occurrences, the use of machine learning models in this domain remains limited. This study aims to address this gap by investigating intelligent approaches that incorporate economic criteria to predict occupational accidents. Fou...