ArticleInternational Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications2018
Automatic Detection of Opioid Intake Using Wearable Biosensor.
Article in International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.
- A systematic review of remotely delivered contingency management treatment for substance use.Journal of substance use and addiction treatment · 2023Pooled it
- Acceptability and usability of a respiratory biosensor for drug overdose detection and first responder notification: a qualitative evaluation of perspectives from people who use drugs and wider stakeholders.Harm reduction journal · 2026Article
- Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing.AI (Basel, Switzerland) · 2024Article
- An implantable system for opioid safety.Device · 2024Article
- Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review.JMIR mHealth and uHealth · 2024Article
- A Wearable Device Towards Automatic Detection and Treatment of Opioid Overdose.IEEE transactions on biomedical circuits and systems · 2024Article
- Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study.JMIR research protocols · 2024Article
- Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2024Article
- Digital Biomarker Applications Across the Spectrum of Opioid Use Disorder.Cogent mental health · 2023Article
- Exploring the use of Granger causality for the identification of chemical exposure based on physiological data.Frontiers in network physiology · 2023Article
- Identifying Biomarkers for Accurate Detection of Stress.Sensors (Basel, Switzerland) · 2022Article
- Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms.Biosensors · 2022Article
- Closed-loop wearable naloxone injector system.Scientific reports · 2021Article
- OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2021Article
- Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia.Harm reduction journal · 2021Article
- Early Detection of Exposure to Toxic Chemicals Using Continuously Recorded Multi-Sensor Physiology.Sensors (Basel, Switzerland) · 2021Article
- Identifying Opioid Withdrawal Using Wearable Biosensors.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2021Article
- Wearable and Wireless mHealth Technologies for Substance Use Disorder.Current addiction reports · 2020Article
- Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review.JMIR mHealth and uHealth · 2020Article
- Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
A plethora of research shows that recreational drug overdoses result in major social and economic consequences. However, current illicit drug use detection in forensic toxicology is delayed and potentially compromised due to lengthy sample preparation and its subjective nature. With this in mind, scientists have been searching for ways to create a fast and easy method to detect recreational drug use. Therefore, we have developed a method for automatic detection of opioid intake using electrodermal activity (EDA), skin temperature and tri-axis acceleration data generated from a wrist worn biosensor. The proposed system can be used for home and hospital use. We performed supervised learning and extracted 23 features using time and frequency domain analysis to recognize pre- and post- opioid health conditions in patients. Feature selection procedures are used to reduce the number of features and processing time. For supervised learning, we compared three classifiers and selected the one with highest accuracy and sensitivity: decision tree, k-nearest neighbors (KNN) and eXtreme Gradient Boosting utilizing modified features. The results show that the proposed method can detect opioid use in real-time with 99% accuracy. Moreover, this method can be applied to identify other use of additional substances other than opioids. The numerical analysis is completed on data collected from 30 participants over a span of 4 months.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.