Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability

Jirong Yi; Myung Cho; Jingchao Gao; Xiaodong Wu; Weiyu Xu; Raghu Mudumbai

doi:10.1109/IEEECONF59524.2023.10476881

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Conference proceeding

Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability

Jirong Yi, Myung Cho, Jingchao Gao, Xiaodong Wu, Weiyu Xu and Raghu Mudumbai

2023 57th Asilomar Conference on Signals, Systems, and Computers, pp.960-964

10/29/2023

DOI: 10.1109/IEEECONF59524.2023.10476881

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Abstract

In this paper, we propose a novel method of error correction code that increases the reliability of testing for chemical or biological agents, as well as general substances, through pooled testing. When gross errors, or outliers, occur in testing results, instead of conducting multiple tests on each individual sample, our method performs testing on well-designed mixtures of samples from multiple subjects. Unlike group testing, which aims to reduce the number of tests, our method aims to increase the reliability and accuracy of testing, even in the presence of gross test errors. Through our theoretical results and extensive simulations, we demonstrate that our method can significantly improve testing accuracy, even under gross testing errors. Furthermore, our method is proven to be more effective than repeated testing of individual samples.

Biological weapons

Chemicals

Computer errors

error correction code

Error correction codes

non-negative signal

pooled testing

Reliability theory

ro-bust testing

test reliability

Testing

Details

Title: Subtitle: Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability
Creators: Jirong Yi - University of Iowa
Myung Cho - California State University,Dept. of ECE,Northridge,CA,USA,91330
Jingchao Gao - University of Iowa
Xiaodong Wu - University of Iowa
Weiyu Xu - University of Iowa
Raghu Mudumbai - University of Iowa,Dept. of ECE,Iowa City,IA,USA,52242
Resource Type: Conference proceeding
Publication Details: 2023 57th Asilomar Conference on Signals, Systems, and Computers, pp.960-964
Publisher: IEEE
DOI: 10.1109/IEEECONF59524.2023.10476881
eISSN: 2576-2303
Grant note: ECCS-2000425,ECCS-2133205 / NSF (10.13039/100000001)
Language: English
Date published: 10/29/2023
Academic Unit: The Iowa Institute for Biomedical Imaging; Electrical and Computer Engineering; Radiation Oncology
Record Identifier: 9984621036702771

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