Wearable Biosensors to Detect Physiologic Change During Opioid Use
Stephanie Carreiro1, Kelley Wittbold2, Premananda Indic3
1Department of Emergency Medicine, Division of Medical Toxicology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01605, USA. stephanie.carreiro@umassmemorial.org.
Wearable biosensors can detect physiologic changes after opioid administration, differentiating between heavy and non-heavy opioid users. This technology shows promise for improving relapse detection in addiction treatment.
Area of Science:
- Biomedical Engineering
- Clinical Pharmacology
- Digital Health
Background:
- Opioid analgesic use contributes significantly to morbidity and mortality in the US.
- Current relapse detection methods for opioid use disorder are often retrospective and subjective.
- Effective treatment programs struggle with accurate and timely relapse detection.
Purpose of the Study:
- To evaluate the utility of wearable biosensors for detecting physiologic changes associated with opioid administration.
- To assess the potential of biosensors to differentiate between opioid use patterns.
Main Methods:
- Thirty emergency department patients prescribed intravenous opioids wore wristband biosensors measuring electrodermal activity, skin temperature, and locomotion.
- Biosensor data were recorded before and after opioid administration.
- Data were analyzed using Hilbert transform and paired t-tests to compare within- and between-subject variations.
Main Results:
- Biosensors consistently detected decreased locomotion and increased skin temperature post-opioid administration.
- Electrodermal activity changes were not consistently detected.
- Physiologic patterns differed between heavy and non-heavy opioid users, with heavy users showing greater reduction in fidgeting movements.
Conclusions:
- Wearable biosensors can identify consistent physiologic patterns following opioid administration.
- Distinct biosensor patterns were observed between heavy and non-heavy opioid users.
- Further research into biosensor applications for addiction treatment and pain management is warranted.
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