Title :
Automatic detection algorithm for physiologic pressure signal components
Author :
Aboy, M. ; Crespo, C. ; McNames, J. ; Bassale, J. ; Goldstein, B.
Author_Institution :
Dept. of Electr. Eng., Portland State Univ., OR, USA
Abstract :
Describes an offline detection algorithm for pressure signals that incorporates heart rate, amplitude, and interbeat intervals to identify the time location of four signal components. The algorithm performance was assessed based on the statistics of the interbeat intervals of the detected components. The algorithm performed well when applied to arterial blood pressure and intracranial pressure signals acquired from patients in a pediatric intensive care unit.
Keywords :
blood pressure measurement; brain; cardiology; filtering theory; medical signal detection; paediatrics; patient care; patient diagnosis; pressure measurement; QRS detection; arterial blood pressure signals; automatic detection algorithm; heart rate; interbeat intervals; intracranial pressure signals; offline detection algorithm; pediatric intensive care unit; physiologic pressure signal components; time location; Band pass filters; Cranial pressure; Delay estimation; Detection algorithms; Frequency estimation; Heart rate; Laboratories; Phase estimation; Signal processing; Signal processing algorithms;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134453
