Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
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Conf Proc IEEE Eng Med Biol Soc · Jan 2010
Theoretical simulation of the dual-heat-flux method in deep body temperature measurements.
Deep body temperature reveals individual physiological states, and is important in patient monitoring and chronobiological studies. An innovative dual-heat-flux method has been shown experimentally to be competitive with the conventional zero-heat-flow method in its performance, in terms of measurement accuracy and step response to changes in the deep temperature. ⋯ The corresponding depth of the estimated temperature in the skin and subcutaneous tissue layer is consistent when using the dual-heat-flux probe. Insights in improving the performance of the dual-heat-flux method were discussed for further studies of dual-heat-flux probes, taking into account structural and geometric considerations.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2010
Merging PK/PD information in a minimally parameterized model of the neuromuscular blockade.
A recursive system identification algorithm that merges PK/PD information in a minimally parameterized Wiener model for the NMB level is presented. The results show that the coupling between one parameter from the linear block and one from the static nonlinearity is advantageous, when evaluated on a database of 60 real collected NMB cases.
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Mining medical reports can reveal important information correlating diagnosis with raw measurements helping in decision support. In this paper we address the problem of finding similar measurement reports for aiding clinical decision support. ⋯ A document retrieval algorithm based on document class models is presented to enable similarity retrieval of pre-diagnosed reports. Collaborative filtering-guided assembly of associated disease labels is used to achieve clinical decision support.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2010
Towards improved sedation control in critically ill patients.
Patients in intensive care units are often prescribed a combination of sedative and analgesic to manage anxiety and pain relief. Proper sedation management is crucial to patient recovery but few intensive care units routinely employ strategies that tailor drug delivery to ongoing patient needs. The Infuse-Rite has been developed to automate a protocol that eliminates the possibility of excessive sedation. Changing clinical demands have provided the impetus for ongoing enhancements to improve the sedation control of patients in intensive care.
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In recent years there has been a rapid growth in patient monitoring and medical data analysis using a number of computer-aided systems based on expert systems, fuzzy logic and many other intelligent techniques. Fuzzy logic-based expert systems have shown potential to improve clinician performance by imitating human thought processes in complex circumstances and accurately executing repetitive tasks to which humans are ill-suited. ⋯ The performance of the system was validated through a series of off-line tests. When detecting hypovolaemia a substantial level of agreement was observed between FLMS and the human expert (the anaesthetist) during surgical procedures.