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Unformatted text preview: -Oregon Institute of Technology- Digital Signal Processing I Dr. Mateo Aboy EET 471 Project 1 General Information Title: Automatic Beat Detection Algorithm for Intracranial Pressure Signals. Demonstration Due Date: See syllabus. Report Due Date: See syllabus. Report Guidelines: IEEE Transactions (7 pages maximum, 4 pages nominal). Project Type: Research and Development. 2 Project Description Automatic beat detection algorithms have many clinical applications including pulse oximetry, cardiac arrhythmia detection, and cardiac output monitoring. Most of these algorithms have been developed by medical device companies and are proprietary. Thus, researchers who wish to investigate pulse contour analysis must rely on manual annotations or develop their own algorithms. The objective of this project is to design an automatic detection algorithm for intracranial pressure (ICP) signals that locates the first peak following each heart beat. This is called the percussion peak in ICP signals. Development of automatic detection algorithms is an active area of research. 3 Significance The unavailability of robust detection algorithms for pressure signals has, at least partially, prevented re- searchers from fully conducting beat-by-beat analysis. Current methods of intracranial ICP signal analysis are primarily based on time- or frequency-domain metrics such as mean, standard deviation, and spectral power at the heart rate frequency. Few investigators have analyzed variations in the beat-level morphol- ogy of the pressure signals because detection algorithms that can automatically identify each of the beat components are generally unavailable. Many researchers manually annotate desired components of physiologic pressure signals because detection algorithms for these signals are not widely available. This approach is labor-intensive, subjective, expensive, and can only be used on short signal segments....
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- Spring '10