Methodology for validating blood pressure event detection algorithms

Authors

Lynn T. Antonelli, University of Rhode Island
William J. Ohley, University of Rhode Island

Document Type

Conference Proceeding

Date of Original Version

12-1-1995

Abstract

The methodology for a generating a waveform test set and producing a statistical representation of blood pressure event detection algorithm performance is demonstrated. A subset of the Massachusetts General Hospital (MGH) database files has been selected as an illustrative group of waveforms representative of a range of clinical and physiological conditions. Several dicrotic notch detection algorithms were applied to three different blood pressure waveform test sets and the accuracy of detection was determined. Comparison of the algorithms' statistical performance for each test set led to the assembly of an appropriate grouping of physiological data for validation of blood pressure event detection techniques for a valid statistical representation of algorithm performance.

Publication Title, e.g., Journal

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volume

17

Issue

2

Citation/Publisher Attribution

Antonelli, Lynn T., and William J. Ohley. "Methodology for validating blood pressure event detection algorithms." Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 17, 2 (1995): 953-954. https://digitalcommons.uri.edu/ele_facpubs/882