Loes Crielaard, Ehsan Motazedi, Henrike Galenkamp, Herman G van de Werfhorst, Naja Hulvej Rod, Mirte A G Kuipers, Mary Nicolaou, Karien Stronks
Socioeconomic Inequalities in Type 2 Diabetes: Mediation Through Status Anxiety?
International journal of public health
due connectivity automation trends medical device industry experiencing increased demand safety security mechanisms anomaly detection proven valuable approach ensuring safety security industries automotive medical devices must operate across wide range values due variations patient anthropometric data making anomaly detection based simple threshold signal deviations impractical example surgical robots directly contacting patients tissue require precise sensor data however since deformation patients body interaction movement highly dependent body mass impossible define single threshold implausible sensor data applies patients also involves statistical methods zscore consider standard deviation even pure machine learning algorithms cannot expected provide required accuracy simply due lack available training data paper proposes using hybrid filters combining dynamic system models based expert knowledge databased models anomaly detection operating room scenario approach improve detection performance explainability reducing computing resources needed embedded devices enabling distributed approach anomaly detection