Detecting mild cognitive loss with continuous monitoring of medication adherence

Yonghong Huang; Deniz Erdogmus; Zhengdong Lu; Todd K. Leen

doi:10.1109/ICASSP.2008.4517683

Detecting mild cognitive loss with continuous monitoring of medication adherence

Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes an approach for detecting early cognitive loss using medication adherence behavior. We investigate the discriminative power of a comprehensive set of recurrent medication timing features extracted from time-of-day and inter-dose timing statistics. We adopt information theoretic measures for feature ranking for initial dimensionality reduction and conduct exhaustive leave-one-out cross validation for final feature selection and regularization. The selected feature set is subjected to a support vector machine for classification. The results demonstrate that patterns of adherence based on the data from relatively unobtrusive behavior monitoring can make reliable inference for mild cognitive loss individuals.

Original language	English (US)
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages	609-612
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2008.4517683
State	Published - Sep 16 2008
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States Duration: Mar 31 2008 → Apr 4 2008

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country	United States
City	Las Vegas, NV
Period	3/31/08 → 4/4/08

Keywords

Cognitive loss detection
Continuous monitoring
Medication adherence
Pattern recognition

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2008.4517683

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Cite this

Huang, Y., Erdogmus, D., Lu, Z., & Leen, T. K. (2008). Detecting mild cognitive loss with continuous monitoring of medication adherence. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 609-612). [4517683] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4517683

Detecting mild cognitive loss with continuous monitoring of medication adherence. / Huang, Yonghong; Erdogmus, Deniz; Lu, Zhengdong; Leen, Todd K.

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 609-612 4517683 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huang, Y, Erdogmus, D, Lu, Z & Leen, TK 2008, Detecting mild cognitive loss with continuous monitoring of medication adherence. in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP., 4517683, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 609-612, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 3/31/08. https://doi.org/10.1109/ICASSP.2008.4517683

Huang Y, Erdogmus D, Lu Z, Leen TK. Detecting mild cognitive loss with continuous monitoring of medication adherence. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 609-612. 4517683. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4517683

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