Researchers Combine Wearable Biosensors and Machine Learning to Combat the Opioid Crisis

Researchers Combine Wearable Biosensors and Machine Learning to Combat the Opioid Crisis

Publication date: Jul 10, 2019

To pursue this possibility of remote monitoring, a group of researchers and physicians at the University of Texas at Tyler and the University of Massachusetts, Medical School have been investigating using a wearable biosensor to monitor treatment adherence in substance use disorder patients.

The research group utilized the E4 wristband wearable biosensor from Empatica, the same company that makes the Embrace2 Watch, a wearable biosensor for detecting epilepsy in children.

In this study, the research group use the sensor capabilities of the E4 to collect data on active drug users, then applied machine learning techniques to develop predictors for non-adherence of treatment regimens.

Their earliest study dates back to 2015 in which they employed the Q Sensor, the now-discontinued predecessor of the E4 wearable, to monitor changes in electrodermal activity, skin temperature, and locomotion.

In their 2018 study, titled -Automatic Detection of Opioid Intake Using Wearable Biosensor”, they improved upon their 2015 paper by utilizing machine learning and pattern recognition to automatically differentiate baseline readings of different physiological signals from abnormal readings elicited by substance use.

Maxim Integrated has been placing emphasis on healthcare applications in many of the hardware components and tools they release, including a wearable platform for remote biometric monitoring for developers.

Concepts Keywords
Algorithm Biosensors
Ambulatory Opioid use disorder
Biometric Monitoring
Biosensor Wearable computer
Biosensors Biosensor
Body Temperature Ambient intelligence
Canada Ubiquitous computing
CDC Internet of things
EDA Substance abuse
Electrodermal Activity Medical specialties
Embedded Hardware Wearable devices
Epidemic Human–computer interaction
Epilepsy Articles
FDA Epidemic technology
Fitness Substance abuse disorder
France Epilepsy
Healthcare Embedded hardware
Healthcare Industry Amenable real time
Heart Rate Alert ambulatory services
Heart Rate Monitor Settings devices
Impedance Epidemic technology
Massachusetts
Maxim
Maxim Integrated
Omron
Opioid
Opioid Overdose
Preventative Healthcare
Scientific Community
Sensor
Substance Abuse
Temperature
Temperature Sensor
Texas
Texas Instruments
Thermophile
Tricky
United States
Wearables

Semantics

Type Source Name
disease MESH epilepsy
disease MESH Opioid Abuse
disease DOID Opioid Abuse
gene UNIPROT SET
disease MESH community
disease MESH emergency
gene UNIPROT PTPN5
disease DOID substance abuse
disease MESH substance abuse
gene UNIPROT AICDA
gene UNIPROT EDA
disease DOID epilepsy
disease MESH drug users
gene UNIPROT NR4A2
gene UNIPROT ALG3
pathway BSID Release

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