CTN-0073-Ot: Towards Detecting Cocaine Use Using Smartwatches in the NIDA Clinical Trials Network
Lisa A. Marsch, PhD
Principal Investigator
Dartmouth Psychiatric Research Center, Geisel School of Medicine at Dartmouth College
Lisa.A.Marsch@Dartmouth.edu
This project will investigate methods to detect cocaine use from heart rate data captured by smartwatches. This approach may nicely complement self-report methods that suffer from temporal inaccuracy in reporting cocaine use in the field setting. Detection of cocaine use through smartwatches will build upon, and extend, recently developed methods to identify cocaine use from interbeat interval heart rate data obtained from electrocardiogram (ECG) sensors and physical activity from accelerometer data. A smartwatch device will be developed that can reliably detect interbeat interval and can last the entire day on a single charge of battery with continuous sensor data collection. A user study will be conducted to determine feasibility of using smartwatches to collect reliable interbeat interval and physical activity data in the natural field setting. This study will provide the data necessary to determine under what conditions high quality data can be obtained from smartwatches, identify common failure scenarios, and understand wearability/usage patterns. A computational model will be adapted for detecting cocaine use from interbeat interval, so it can be applied to the interbeat and physical activity data obtained from smartwatches. The degree of specificity of the model relative to other stimulant use will also be assessed.
Primary Findings
his study developed a wrist-worn device that can be used in the natural field setting among people who use cocaine to collect reliable heart rate data that is less obtrusive than chest-based devices. When properly worn, the wrist-based sensor produced similar quality of heart rate and heart rate variability features to chest-based sensors and matched their performance in automated detection of cocaine use events.
Primary Outcomes Article: Ertin E, et al. An examination of the feasibility of detecting cocaine use using smartwatches. Frontiers in Psychiatry 2021 (in press). [get article]
Related Resources
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