University of Massachusetts Medical School Faculty Publications

Title

Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection

UMMS Affiliation

Department of Population and Quantitative Health Sciences; Department of Emergency Medicine; Department of Psychiatry

Publication Date

2020-02-01

Document Type

Conference Proceeding

Disciplines

Biomedical Devices and Instrumentation | Computer Sciences | Data Science | Health Services Administration | Medical Toxicology | Substance Abuse and Addiction

Abstract

Wearable biosensors, as a key component of wireless body area network (WBAN) systems, have extended the ability of health care providers to achieve continuous health monitoring. Prior research has shown the ability of externally placed, non-invasive sensors combined with machine learning algorithms to detect intoxication from a variety of substances. Such approaches have also shown limitations. The difficulties in developing a model capable of detecting intoxication generally include differences among human beings, sensors, drugs, and environments. This paper examines how approaching wireless communication advances and new paradigms in constructing distributed systems may facilitate polysubstance use detection. We perform supervised learning after harmonizing two types of offline data streams containing wearable biosensor readings from users who had taken different substances, accurately classifying 90% of samples. We examine time domain and frequency domain features and find that skin temperature and mean acceleration are the most important predictors.

Keywords

addiction, biosensor, classification, data stream, feature extraction

DOI of Published Version

10.1109/icnc47757.2020.9049684

Source

Rumbut J, Fang H, Wang H, Carreiro S, Smelson D, Chapman B, Boyer E. Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection. Int Conf Comput Netw Commun. 2020 Feb;2020:445-449. doi: 10.1109/icnc47757.2020.9049684. Epub 2020 Mar 30. PMID: 33732746; PMCID: PMC7962664. Link to article on publisher's site

Related Resources

Link to Article in PubMed

Journal/Book/Conference Title

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications

PubMed ID

33732746

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