Encontrados 26 documentos, a visualizar página 1 de 3
Analyzing Heart Rate Variability for COVID-19 ICU Mortality Prediction Using Co...
De Azevedo David, Guilherme; Lourenço, André; Von Rekowski, Cristiana; Pinto, I. M.; Calado, Cecília; Bento, LuísFunding Information: This research was supported by national funds through the Fundação para a Ciência e Tecnologia (FCT), I.P., under the following grants: DSAIPA/DS/0117/2020, UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020), UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020) (Center for Mathematics and Applications), project with reference 2023.01951.BD and DOI: https://doi.org/10.54499/202...
Lane Change Detection of Surrounding Vehicles in Dashcam Videos
Qiu, Shi; Brijs, Tom; Lourenço, André; Ectors, Wim; Adnan, Muhammad; Carreiras, Carlos; Jorge, Pedro MendesLane change events are a critical focus for road safety research. Detecting the lane-changing or cut-in behavior of surrounding vehicles using dashcam video has significant potential for supporting driver behavior monitoring and timely interventions during such events. However, as this field has not yet been systematically reviewed in a dedicated literature survey, researchers often face the challenge of manual...
Kidney Injury after Cardiac Surgery: Prevention-Associated Cost Reduction
Maia, João; Rodrigues, Ana Filipa; Dias, Ana Lídia; Azevedo, Bárbara; Leite-Moreira, André; Lourenço, André; Almeida, CláudiaIntroduction: Cardiac surgery may induce acute kidney injury and the need for renal replacement therapy. It is also associated with higher hospital costs, morbidity and mortality. The aims of this study were to investigate predictors of cardiac surgery associated acute kidney injury in our population and to determine the burden of acute kidney injury in elective cardiac surgery, evaluating the potential cost ef...
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
Vitorino, João; Rodrigues, Lourenço; Maia, Eva; Praça, Isabel; Lourenço, AndréDrowsy driving is a major cause of road accidents, but drivers are dismissive of the impact that fatigue can have on their reaction times. To detect drowsiness before any impairment occurs, a promising strategy is using Machine Learning (ML) to monitor Heart Rate Variability (HRV) signals. This work presents multiple experiments with different HRV time windows and ML models, a feature impact analysis using Shap...
Aortic Valve Surgery in Patients with Infective Endocarditis: Mid-Term Follow-u...
Silva, Bruno; Saraiva, Francisca; Cerqueira, Rui; Sousa, Francisca; S. Barros, António; Lourenço, André; Almeida, Jorge; J. Amorim, Mário; Pinho, PauloBackground: It is particularly difficult to choose the appropriate prosthesis to treat infective endocarditis. Objectives: To investigate the outcomes after aortic valve replacement with a stented bioprosthesis (Trifecta) in patients with active or previous infective endocarditis. Methods: We performed a single-centre, retrospective study including consecutive patients with infective endocarditis who underwent ...
MARS: a toolset for the safe and secure deployment of heterogeneous distributed...
Nandi, Giann; Pereira, David; Proenca, José; Santos, José; Rodrigues, Lourenço A.; Lourenço, André; Tovar, EduardoThis work discusses the ongoing development of a toolset named MARS aimed to ease the process of safely deploying runtime verification monitors into distributed micro-ROS and ROS2 nodes. The work is motivated by a use case in the health and automotive domains and covers safety/security concerns around the manipulation of sensitive biometric data.
Lockdown measures for COVID-19 outbreak and variation in physical activity in p...
Silva Cunha, Pedro; Laranjo, Sérgio; Lourenço, André; Rodrigues, Lourenço; Cardoso, Isabel; Portugal, Guilherme; Valente, Bruno; Delgado, Ana SofiaAims: The present study analysed the patterns of physical activity pre-, during and post-lockdown measures for COVID-19 pandemic in patients with chronic heart failure (CHF) and cardiac implantable electronic devices (CIED) under remote monitoring (RM), and assessed the physical activity patterns during these periods. Methods: The raw data from 95 patients with CHF (age 67,7 +/- 15,1 years, 71,5% male) correspo...
ECG simulator with configurable skin-electrode impedance and artifacts emulation
Almeida, Daniel; Costa, João; Lourenço, AndréElectrocardiograms (ECG) recorded from everyday objects, such as wearables, fitness machines or smart steering wheels are becoming increasingly common. Applications are diverse and include health monitoring, athletic performance optimization, identification, authentication, and entertainment. In this study we report the design and implementation of an innovative ECG simulator, providing simulation of signal rel...
The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness fo...
Pilkington-Cheney, Fran; Afghari, Amir Pooyan; Filtness, Ashleigh; Papadimitriou, Eleonora; Lourenço, André; Brijs, TomDriver sleepiness and fatigue are important contributors to many transport incidents and significantly increase crash risk. Recently, detection systems have been developed which aim to monitor the state of the driver and detect increasing levels of fatigue. However, there has been less focus on appropriate intervention strategies for drivers once fatigue and sleepiness have been detected. This paper describes t...
AUTOMOTIVE: a case study on AUTOmatic multiMOdal drowsiness detecTIon for smart...
Esteves, Telma; Pinto, João Ribeiro; Ferreira, Pedro M.; Costa, Pedro Amaro; Rodrigues, Lourenço Abrunhosa; Antunes, Inês; Lopes, Gabriel; gamito, pedroAs technology and artificial intelligence conquer a place under the spotlight in the automotive world, driver drowsiness monitoring systems have sparked much interest as a way to increase safety and avoid sleepiness-related accidents. Such technologies, however, stumble upon the observation that each driver presents a distinct set of behavioral and physiological manifestations of drowsiness, thus rendering its ...