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

A. H. Najmi, S. F. Magruder

Research output: Contribution to conferencePaper

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)
Pages2249-2252
Number of pages4
StatePublished - Nov 16 2004
Event2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China
Duration: Aug 31 2004Sep 4 2004

Other

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

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Estimation of hospital emergency room data using OTC pharmaceutical sales and normalized LMS filters'. Together they form a unique fingerprint.

  • Cite this

    Najmi, A. H., & Magruder, S. F. (2004). Estimation of hospital emergency room data using OTC pharmaceutical sales and normalized LMS filters. 2249-2252. Paper presented at 2004 7th International Conference on Signal Processing Proceedings (ICSP'04), Beijing, China.