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BioStream: A System Architecture for Real-Time Processing of Physiological Signals

Bar-Or, Amir; Goddeau, David; Healey, Jennifer; Kontothanassis; Logan, Beth; Nelson, Alex; Van Thong, JM

HPL-2004-128

Keyword(s): scalable; streaming; physiological monitoring; electrocardiogram; multi-sensor

Abstract: Continuous monitoring of physiological signals has the potential to greatly improve the quality of life of patients with chronic diseases. Recent advances in sensor technology make the capture of such signals possible. In this paper, we present BioStream, a real- time, operator-based software solution for managing physiological sensor streams. It is built on top of a general purpose stream processing software architecture. The system processes data using plug-in analysis components that can be easily composed into plans using a graphical programming environment. The architecture is scalable, allowing implementation on systems ranging from desktops to server farms. It guarantees real-time response and data persistence in a distributed environment. We apply this architecture to the problem of multi-patient, real-time, physiological signal monitoring, analysis, indexing and visualization. Notes: Copyright IEEE. To be published in and presented at the IEEE Engineering in Medicine and Biology Society Conference (EMBS), 1-5 September 2004, San Francisco, CA

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