Estimation of hospital emergency room data using OTC pharmaceutical sales and normalized LMS filters

A. H. Najmi, S. F. Magruder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We address the problem of surveillance of Over-the-Counter pharmaceutical (OTC) sales as a potential early indicator of developing public health conditions from the viewpoint of linear adaptive filter theory: the clinical data is the primary channel to be estimated from the OTC data that form the reference channels. The estimation is performed using an FIR filter and the normalized LMS algorithm. Our results indicate that Multichannle adaptive FIR least squares filtering is a viable means of estimating public health conditions from OTC sales, and provide quantitative measures of time dependent correlations between the clinical data and the OTC data channels.

Original languageEnglish (US)
Title of host publication2004 7th International Conference on Signal Processing Proceedings, ICSP
Pages2251-2254
Number of pages4
StatePublished - Dec 27 2004
Event2004 7th International Conference on Signal Processing Proceedings, ICSP - Beijing, China
Duration: Aug 31 2004Sep 4 2004

Publication series

Name2004 7th International Conference on Signal Processing Proceedings, ICSP

Other

Other2004 7th International Conference on Signal Processing Proceedings, ICSP
CountryChina
CityBeijing
Period8/31/049/4/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Najmi, A. H., & Magruder, S. F. (2004). Estimation of hospital emergency room data using OTC pharmaceutical sales and normalized LMS filters. In 2004 7th International Conference on Signal Processing Proceedings, ICSP (pp. 2251-2254). (2004 7th International Conference on Signal Processing Proceedings, ICSP).