Browsing by Author "Marinheiro, Catarina"
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- Overcoming challenges in video-based health monitoring: real-world implementation, ethics, and data considerationsPublication . Ferreira, Simão; Marinheiro, Catarina; Mateus, Catarina; Rodrigues, Pedro Pereira; Rodrigues, Matilde A.; Rocha, Nuno; Ferreira, Simão; Mateus, Catarina; Rodrigues, Matilde; 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 systems outside controlled laboratory environments. Methodologically, the study spanned three months and employed advanced facial recognition technology embedded in participants’ computing devices to collect physiological metrics such as heart rate, blinking frequency, and emotional states, thereby contributing to a stress detection dataset. This approach ensured data privacy and aligns with ethical standards. The results reveal significant challenges in data collection and processing, including biases in video datasets, the need for high-resolution videos, and the complexities of maintaining data quality and consistency, with 42% (after adjustments) of data lost. In conclusion, this research emphasizes the necessity for rigorous, ethical, and technologically adapted methodologies to fully realize the benefits of these systems in diverse healthcare contexts.
- The effectiveness of NIRS technology to the early diagnosis of lower limb ischemia in patients on peripheral VA ECMO: A systematic review and meta-analysisPublication . Coelho, Raquel; Tavares, Joana; Marinheiro, Catarina; Costa, Carina; Ferreira, Simão; Gregório, Tiago; Ferreira, SimãoAcute lower limb ischemia is a major complication of peripheral venoarterial ECMO, significantly impacting patient outcomes and survival rates. Traditional methods for assessing limb perfusion, such as physical exams and Doppler ultrasound, are often unreliable and do not provide continuous monitoring. Near-infrared spectroscopy (NIRS), a non-invasive technique, shows promise for perfusion monitoring in venoarterial ECMO patients, but its effectiveness in the early detection of limb hypoperfusion remains unreviewed. Evaluate the effectiveness of NIRS technology in the early diagnosis of lower limb ischemia in patients undergoing peripheral VA ECMO. The search strategy covered five databases. Inclusion criteria included studies in Portuguese, English, Spanish, or German involving participants aged 18 or older dependent on peripheral VA ECMO. The intervention assessed was limb perfusion monitoring using NIRS in VA ECMO patients. The primary outcome was the effectiveness of NIRS in the early diagnosis of limb ischemia. Exclusion criteria included review articles, book chapters, books, editorials, conference papers, and studies on pediatric patients, central VA ECMO, or venovenous ECMO. Study quality was evaluated using the ROBINS-I tool. Meta-analysis was performed using R package meta. Narrative synthesis was applied when meta-analysis was unfeasible. Of 180 studies, 164 were excluded after initial screening. Of the remaining 16 studies, eight were removed for irrelevance, high bias risk, or pediatric focus, leaving eight studies. The results revealed a pooled sensitivity of the diagnostic method of 0.71 (95% CI: [0.67, 0.74]) and a pooled specificity of 0.68 (95% CI: [0.61, 0.74]). NIRS technology is an effective diagnostic tool for reliably detecting true positive cases of limb ischemia.