Literature DB >> 27334894

Wearable Biosensors to Detect Physiologic Change During Opioid Use.

Stephanie Carreiro1, Kelley Wittbold2, Premananda Indic3, Hua Fang4, Jianying Zhang4, Edward W Boyer2.   

Abstract

INTRODUCTION: Opioid analgesic use is a major cause of morbidity and mortality in the US, yet effective treatment programs have a limited ability to detect relapse. The utility of current drug detection methods is often restricted due to their retrospective and subjective nature. Wearable biosensors have the potential to improve detection of relapse by providing objective, real time physiologic data on opioid use that can be used by treating clinicians to augment behavioral interventions.
METHODS: Thirty emergency department (ED) patients who were prescribed intravenous opioid medication for acute pain were recruited to wear a wristband biosensor. The biosensor measured electrodermal activity, skin temperature and locomotion data, which was recorded before and after intravenous opioid administration. Hilbert transform analyses combined with paired t-tests were used to compare the biosensor data A) within subjects, before and after administration of opioids; B) between subjects, based on hand dominance, gender, and opioid use history.
RESULTS: Within subjects, a significant decrease in locomotion and increase in skin temperature were consistently detected by the biosensors after opioid administration. A significant change in electrodermal activity was not consistently detected. Between subjects, biometric changes varied with level of opioid use history (heavy vs. nonheavy users), but did not vary with gender or type of opioid. Specifically, heavy users demonstrated a greater decrease in short amplitude movements (i.e. fidgeting movements) compared to non-heavy users.
CONCLUSION: A wearable biosensor showed a consistent physiologic pattern after ED opioid administration and differences between patterns of heavy and non-heavy opioid users were noted. Potential applications of biosensors to drug addiction treatment and pain management should be studied further.

Entities:  

Keywords:  Biometrics; Biosensors; Opioids; Signal Processing; Wearables

Mesh:

Substances:

Year:  2016        PMID: 27334894      PMCID: PMC4996791          DOI: 10.1007/s13181-016-0557-5

Source DB:  PubMed          Journal:  J Med Toxicol        ISSN: 1556-9039


  15 in total

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3.  Preliminary efforts directed toward the detection of craving of illicit substances: the iHeal project.

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6.  Wearable sensor platform and mobile application for use in cognitive behavioral therapy for drug addiction and PTSD.

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Review 2.  Machine Learning to Predict, Detect, and Intervene Older Adults Vulnerable for Adverse Drug Events in the Emergency Department.

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4.  Technology-Based Contingency Management in the Treatment of Substance-Use Disorders.

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5.  Automatic Detection of Opioid Intake Using Wearable Biosensor.

Authors:  Md Shaad Mahmud; Hua Fang; Honggang Wang; Stephanie Carreiro; Edward Boyer
Journal:  Int Conf Comput Netw Commun       Date:  2018-06-21

Review 6.  Music as an Adjunct to Opioid-Based Analgesia.

Authors:  Peter R Chai; Stephanie Carreiro; Megan L Ranney; Ketki Karanam; Marko Ahtisaari; Robert Edwards; Kristin L Schreiber; Lubabah Ben-Ghaly; Timothy B Erickson; Edward W Boyer
Journal:  J Med Toxicol       Date:  2017-06-23

7.  Wearable Biosensors to Evaluate Recurrent Opioid Toxicity After Naloxone Administration: A Hilbert Transform Approach.

Authors:  Keerthi Kumar Chintha; Premananda Indic; Brittany Chapman; Edward W Boyer; Stephanie Carreiro
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8.  Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study.

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9.  A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream.

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10.  mHealth for the Detection and Intervention in Adolescent and Young Adult Substance Use Disorder.

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