Machine Learning Supporting Virtual Reality and Brain–Computer Interface to Assess Work–Life Balance Conditions for Employees DOI Open Access
Dariusz Mikołajewski, Adrianna Piszcz, Izabela Rojek

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(22), P. 4489 - 4489

Published: Nov. 15, 2024

The widespread adoption of the Industry 5.0 paradigm puts people and their applications at center attention and, with increasing automation robotization work, need for workers to acquire new, more advanced skills increases. development artificial intelligence (AI) means that expectations are further raised. This leads multiple career changes from life throughout life. Belonging a previous generation makes this retraining even difficult. authors propose use machine learning (ML), virtual reality (VR) brain–computer interface (BCI) assess conditions work–life balance employees. They prediction, identifying users based on subjective experience balance. tool supports intelligent systems in optimizing comfort quality work. potential effects could lead commercial industrial prevent imbalance smart factories 5.0, bringing direct economic benefits as preventive medicine system, indirectly improving access healthcare those most need, while novelty is hybrid solution combining traditional tests automated using VR BCI. significant contribution health-promoting technologies 5.0.

Language: Английский

Effects of the COVID-19 pandemic on the mental health of rehabilitation area professionals: A systematic review DOI Creative Commons
Sandra Bohórquez-Blanco, Regina Allande‐Cussó,

Cristina Martín-López

et al.

Frontiers in Public Health, Journal Year: 2022, Volume and Issue: 10

Published: Dec. 8, 2022

The role of the physiotherapist is vital in recovery post-COVID-19 patients, but fear contagion a possible feeling among healthcare professionals. objective this study to assess mental health effects that COVID-19 has had on workers, including rehabilitation care, times pandemic.A systematic review was conducted using PRISMA format Pubmed, SCOPUS, and Web Science databases between July September 2022. Keywords included were "healthcare providers," "COVID-19," "Mental Health," "Psychological Distress." Methodological quality assessed Joanna Briggs Institute critical appraisal tools.A total 14 studies review. population professionals services. In total, 4 reported exclusively anxiety stress levels physiotherapists providing care during pandemic.The been compromised pandemic. However, initially, research only focused physicians nurses, so need arises include those professionals, such as physiotherapists, who are also direct contact with patients.https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=367664, identifier: CRD42022367664.

Language: Английский

Citations

4
Depressive symptoms, burnout, resilience, and psychosocial support in healthcare workers during the COVID‐19 pandemic: A nationwide study in Japan DOI Creative Commons
Nene Oyama,

Mayumi Seki,

Mari Nakai

et al.

Psychiatry and Clinical Neurosciences Reports, Journal Year: 2023, Volume and Issue: 2(3)

Published: Aug. 31, 2023

Abstract Aim The coronavirus disease 2019 pandemic has significantly impacted the mental health of healthcare workers. This study aimed to assess workers and identify risk protective factors. Methods We surveyed 48,031 at 63 Japanese Red Cross hospitals from December 15, 2022 January 2023. Mental was assessed using Center for Epidemiologic Studies Depression Scale, Burnout 10‐item Connor–Davidson Resilience Scale. Furthermore, we inquired about psychosocial support activities provided within their workplaces. Results included 3815 (250 doctors, 32 residents, 2588 nurses, 504 co‐medical staff, 441 administrative staff). Symptoms depression were noted in 31.5% all participants 46.9% resident doctors. Women those who young, lived alone, had a nonmanagement position, contact with patients, or passive motivation work higher total Scale score than corresponding groups opposite characteristics. High emotional exhaustion depersonalization scores on factors depressive symptoms, while living family factor. Moreover, interventions such as job performance (skills, knowledge, information, safety), peer support, organizational (infection control team, patient care rotation systems) effective. Conclusion impact prolonged among is clear, organized needed.

Language: Английский

Citations

1
Prevalence of burnout syndrome in rehabilitation health professionals during COVID-19 pandemic: a cross-sectional study DOI
Okan Küçükakkaş,

Poonam Deshpande,

Ahmad Al Khayer

et al.

Physical Therapy Reviews, Journal Year: 2024, Volume and Issue: 29(1-3), P. 12 - 18

Published: May 3, 2024

Background Burnout syndrome is the result of prolonged occupational stress. Working under high-stress conditions further exacerbated by COVID-19 may impose an additional psychological burden on rehabilitation health professionals (RHPs) and affect their psycho-social health.

Language: Английский

Citations

0
Efficacy of online mental health education on occupational burnout among medical staff DOI Creative Commons

Yuze Shen,

Wang Jiafeng,

Pei‐Jung Yang

et al.

Journal of Behavioral and Cognitive Therapy, Journal Year: 2024, Volume and Issue: 34(4), P. 100512 - 100512

Published: Nov. 13, 2024

Language: Английский

Citations

0
Machine Learning Supporting Virtual Reality and Brain–Computer Interface to Assess Work–Life Balance Conditions for Employees DOI Open Access
Dariusz Mikołajewski, Adrianna Piszcz, Izabela Rojek

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(22), P. 4489 - 4489

Published: Nov. 15, 2024

The widespread adoption of the Industry 5.0 paradigm puts people and their applications at center attention and, with increasing automation robotization work, need for workers to acquire new, more advanced skills increases. development artificial intelligence (AI) means that expectations are further raised. This leads multiple career changes from life throughout life. Belonging a previous generation makes this retraining even difficult. authors propose use machine learning (ML), virtual reality (VR) brain–computer interface (BCI) assess conditions work–life balance employees. They prediction, identifying users based on subjective experience balance. tool supports intelligent systems in optimizing comfort quality work. potential effects could lead commercial industrial prevent imbalance smart factories 5.0, bringing direct economic benefits as preventive medicine system, indirectly improving access healthcare those most need, while novelty is hybrid solution combining traditional tests automated using VR BCI. significant contribution health-promoting technologies 5.0.

Language: Английский

Citations

0