BIO-SPEAD: a parallel computing environment to accelerate development of biologic signal processing algorithms.
We have created BIO-SPEAD (pronounced speed), a BIOlogical Signal Processing Environment for Algorithm Development. BIO-SPEAD is designed to accelerate development of complex algorithms which integrate information derived from single or multiple physiologic waveforms. BIO-SPEAD currently performs all of the basic analyses of several arterial blood pressure waveforms, and allows the user to utilize the results of those low-level analyses for development of more complex algorithms. We utilized a parallel programming architecture called the Process Trellis which keeps the different tasks, or processes, within BIO-SPEAD independent of each other. Additionally, we have developed a graphics interface to enable the user to visualize the waveform under analysis, the low-level system analysis, and the internal workings of the algorithm under development. The system has been used for several algorithm development projects and has demonstrated its utility.
Oppenheim
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Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, CT.
Factor
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Sittig
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D000465:Algorithms; D016477:Artifacts; D015924:Blood Pressure Monitors / Q000592:standards*; D003196:Computer Graphics / Q000592:standards; D006801:Humans; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D012985:Software Design; D014584:User-Computer Interface