作者: Rishikesan Kamaleswaran , Carolyn McGregor
DOI: 10.1109/CBMS.2014.23
关键词: Term (time) 、 Authentication 、 Univariate 、 Intensive care 、 Complex data type 、 Data visualization 、 Visualization 、 Computer science 、 Data science 、 Clinical decision support system
摘要: The critical care environment is a complex and environment, containing numerous body sensors attached to critically ill patients producing continuous streams of physiological data. In conjunction, human-generated clinical data are produced by clinicians providing for those patients. Currently, information displayed in limited univariate method, inherited from conventional practices biomedical engineering firms who design manufacture these medical devices. However, the method which this was developed with consideration user-centered practices, largely excludes influential relationship their underlying knowledge experience. Moreover, displays have abilities project trends. This paper proposes framework displaying multi-dimensional users environment. We present case study neonatal intensive care, form premature term infants illustrate framework's practical impact.