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OBJECTIVE To compare expert-generated textual summaries of physiological data with trend graphs, in terms of their ability to support neonatal Intensive Care Unit (ICU) staff in making decisions when presented with medical scenarios. METHODS Forty neonatal ICU staff were recruited for the experiment, eight from each of five groups--junior, intermediate(More)
The observed physiological dynamics of an infant receiving intensive care are affected by many possible factors, including interventions to the baby, the operation of the monitoring equipment and the state of health. The Factorial Switching Kalman Filter can be used to infer the presence of such factors from a sequence of observations, and to estimate the(More)
The aim of the NEONATE project is to investigate decision support in the neonatal intensive care unit. This paper describes the considerable amount of observational and physiological data which was acquired and as well as the tools which have been developed to analyse them. Both the data and the tools are in the public domain. We believe that our database(More)
The aim of this paper is to describe a novel approach to the analysis of data obtained from card-sorting experiments. These experiments were performed as a part of the initial phase of a project, called NEONATE. One of the aims of the project is to develop decision support tools for the neonatal intensive care environment. Physical card-sorts were performed(More)
Condition monitoring often involves the analysis of systems with hidden factors that switch between different modes of operation in some way. Given a sequence of observations, the task is to infer the filtering distribution of the switch setting at each time step. In this paper, we present factorial switching linear dynamical systems as a general framework(More)
The high incidence of false alarms in the intensive care unit (ICU) necessitates the development of improved alarming techniques. This study aimed to detect artifact patterns across multiple physiologic data signals from a neonatal ICU using decision tree induction. Approximately 200 h of bedside data were analyzed. Artifacts in the data streams were(More)
Retinopathy of prematurity (ROP) is a potentially blinding disease of preterm infants. 21 days of computer-recorded transcutaneous oxygen (TcPO2) data were compared in 31 infants with stage 3 or greater ROP and 38 infants with no ROP or stage 1 or 2. In a multiple logistic regression adjusted for significant perinatal factors (birthweight, gestation, and(More)
This paper presents outcomes from a cognitive engineering project addressing the design problems of computerised monitoring in neonatal intensive care. Cognitive engineering is viewed, in this project, as a symbiosis between cognitive science and design practice. A range of methodologies has been used: interviews with neonatal staff, ward observations, and(More)