Title :
Stream computing and its application to critical care
Author :
McGregor, Carolyn
Author_Institution :
Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
Abstract :
Summary form only given. Intensive care units (ICUs) worldwide offer support for patients in need of critical care. They boast a range of state of the-art medical monitoring devices to monitor a patient´s physiological parameters such as blood oxygen, blood pressure, and heart rate. Other devices such as ventilators offer mechanical life support. Recent clinical research has found that physiological parameters that are seemingly unrelated to a given diagnosis have been found to show certain behaviour changes prior to diagnosis, demonstrating the potential to create systems that process this data in real time once it is received from distributed sources. Several existing computing paradigms are challenged by the real-time requirements of critical care. In this tutorial a new paradigm of computing known as Stream Computing will be introduced as a means to implement architectures for real-time analysis of multiple patients using data that have varying frequencies to watch for onset of multiple diagnoses.
Keywords :
biomedical equipment; data analysis; health care; medical diagnostic computing; patient monitoring; physiology; blood oxygen; blood pressure; critical care; heart rate; intensive care units; mechanical life support; medical monitoring devices; patient physiological parameters; stream computing; ventilators; Biomedical monitoring; Blood; Distributed databases; Heart rate; Monitoring; Real time systems; Tutorials;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-9167-4
DOI :
10.1109/CBMS.2010.6042642