Abstract Dementia is a cognitive disorder that mainly targets older adults. At present, dementia has no cure or prevention available. Scientists found that dementia symptoms might emerge as early as ten years before the onset of real disease. As a result, machine learning (ML) scientists developed various techniques for the early prediction of dementia using […]
Read More Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully provided automated solutions to numerous real-world problems. Healthcare is one of the most important research areas for ML researchers, with the aim of developing automated disease prediction systems. One of the disease detection problems that AI and ML researchers have focused on is dementia […]
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Abstract Dementia is a neurological condition that primarily affects older adults and there is still no cure or therapy available to cure it. The symptoms of dementia can appear as early as 10 years before the beginning of actual diagnosed dementia. Hence, machine learning (ML) researchers have presented several methods for early detection of dementia […]
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This project centers on the diagnosis and monitoring of health conditions that impact patients’ vocal characteristics, including Neurocognitive disorders (NCDs) (signifying cognitive decline), pulmonary disorder (COPD), and heart failure conditions (HF). By utilizing longitudinal voice recordings paired with medical data, we aim to create mathematical vocal characteristics, distance metrics, and machine learning methodologies that are […]
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Abstract Background and aims eHealth literacy is important as it influences health-promoting behaviors and health. The ability to use eHealth resources is essential to maintaining health, especially during COVID-19 when both physical and psychological health were affected. This study aimed to assess the prevalence of eHealth literacy and its association with psychological distress and perceived […]
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Reference Romare, C. (2022). Health Care Professionals’ Views of Smart Glasses for Vital Signs Monitoring in Complex Care Environments. [Doctoral Thesis, Blekinge Institute of Technology]: Vol. 2022:08. Exakta Group, Sweden. Link https://www.diva-portal.org/smash/record.jsf?pid=diva2:1703812
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Pressmeddelande inför disputation Link https://www.mynewsdesk.com/se/bth/pressreleases/smarta-glasoegon-nytt-hjaelpmedel-i-komplexa-vaardmiljoeer-3221698 Link https://kvalitetsvard.se/smarta-glasogon-kan-oka-patientsakerheten/
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Abstract: COVID-19 has affected the psychological health of older adults directly and indirectly through recommendations of social distancing and isolation. Using the internet or digital tools to participate in society, one might mitigate the effects of COVID-19 on psychological health. This study explores the social participation of older adults through internet use as a social platform […]
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Abstract Objective: The aim of this study was to describe burden of care related to monitoring patient vital signs of intensive care unit patients in a Swedish hospital.Setting: Data collected by “The Swedish Intensive Care Registry” from one general category II intensive care unit in a Swedish hospital was included in this study. Data from […]
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Abstract Purpose: To describe nurse anesthetists’ experiences using smart glasses to monitor patients’ vitalsigns during anesthesia care.Methods: Data was collected through individual semi-structured interviews with seven nurse anesthetistswho had used smart glasses, with a customized application for monitoring vital signs,during clinical anesthesia care. Data was analyzed using thematic content analysis.Results: An overarching theme became evident […]
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