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Towards Detecting Cocaine Use Using Smartwatches in the NIDA Clinical Trials Network
The overall objective of this study is to extend previous work in the development of methods to automatically detect the timing of cocaine use from cardiac interbeat interval and physical activity data derived from wearable, unobtrusive mobile sensor technologies. The specific objectives of this protocol are to characterize under which conditions high quality continuous interbeat interval data and physical activity data can be obtained from a specially developed smartwatch device in the natural field setting among a population of cocaine users. In addition to identifying common failure scenarios and understanding wearability/usage patterns when collecting interbeat interval from smartwatches, this study will extend previous work in the detection of cocaine use via interbeat interval and physical activity data that were previously obtained from wearable chestband sensors. Information from this study will contribute toward the adaptation of the investigators' existing computational model for detecting cocaine use via the chest sensors, so it can be applied to the interbeat and physical activity data obtained from less obtrusive smartwatches.
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