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1.
Sensors (Basel) ; 23(15)2023 Aug 03.
Artigo em Inglês | MEDLINE | ID: mdl-37571700

RESUMO

This study investigated the use of affect and physiological signals of heart rate, electrodermal activity, pupil dilation, and skin temperature to classify advertising engagement. The ground truth for the affective and behavioral aspects of ad engagement was collected from 53 young adults using the User Engagement Scale. Three gradient-boosting classifiers, LightGBM (LGBM), HistGradientBoostingClassifier (HGBC), and XGBoost (XGB), were used along with signal fusion to evaluate the performance of different signal combinations as predictors of engagement. The classifiers trained on the fusion of skin temperature, valence, and tiredness (features n = 5) performed better than those trained on all signals (features n = 30). The average AUC ROC scores for the fusion set were XGB = 0.68 (0.10), LGBM = 0.69 (0.07), and HGBC = 0.70 (0.11), compared to the lower scores for the set of all signals (XGB = 0.65 (0.11), LGBM = 0.66 (0.11), HGBC = 0.64 (0.10)). The results also show that the signal fusion set based on skin temperature outperforms the fusion sets of the other three signals. The main finding of this study is the role of specific physiological signals and how their fusion aids in more effective modeling of ad engagement while reducing the number of features.


Assuntos
Publicidade , Adulto Jovem , Humanos , Frequência Cardíaca/fisiologia
2.
Biomed Tech (Berl) ; 64(1): 67-80, 2019 Feb 25.
Artigo em Inglês | MEDLINE | ID: mdl-29222934

RESUMO

Software-based medical devices need to be maintained throughout their entire life cycle. The efficiency of after-sales maintenance can be improved by managing medical systems remotely. This paper presents how to design the remote access function extensions in order to prevent risks imposed by uncontrolled remote access. A thorough analysis of standards and legislation requirements regarding safe operation and risk management of medical devices is presented. Based on the formal requirements, a multi-layer machine design solution is proposed that eliminates remote connectivity risks by strict separation of regular device functionalities from remote management service, deploys encrypted communication links and uses digital signatures to prevent mishandling of software images. The proposed system may also be used as an efficient version update of the existing medical device designs.


Assuntos
Desenho de Equipamento , Software , Interface Usuário-Computador
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