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CTN approves AutoSense protocol

The Northeast Node is pleased to announce the approval of CTN-0073-Ot (Towards Detecting Cocaine Use Using Smartwatches in the NIDA Clinical Trials Network). The project will build upon our team’s recent work in successfully detecting cocaine use in the natural field environment using heart rate measurements. The goal of this project is to investigate methods to detect cocaine use from heart rate data captured by smartwatches, so this approach can be deployed widely in the NIDA Clinical Trials Network (CTN).

This method will enable us to automatically detect cocaine use and the precise timing of such use. And, this approach can nicely complement self-report methods that suffer from temporal inaccuracy in reporting cocaine use in the field setting. Detection of cocaine use via smartwatches will build upon, and extend, our recently developed methods to identify cocaine use from interbeat interval heart rate data obtained from electrocardiogram (ECG) sensors and physical activity from accelerometer data.

As a first step towards this goal, we will pursue the following three specific aims:

  1. Develop a smartwatch device that can reliably detect interbeat interval and can last the entire day on a single charge of battery with continuous sensor data collection.
  2. Conduct a user study to determine the 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.
  3. Adapt the computational model for detecting cocaine use from interbeat interval, so it can be applied to the interbeat and physical activity data obtained from smartwatches. We will also assess the degree of specificity of the model relative to other stimulant use.

Principal Investigators: Lisa A. Marsch, PhD (Geisel School of Medicine at Dartmouth); Santosh Kumar, PhD (University of Memphis)

Other Project Staff: Dr. Emre Ertin (sensor expert who designed AutoSense and EasySense sensors at Ohio State); Dr. Kenzie Preston (Chief of the Clinical Pharmacology and Therapeutics Research Branch at the NIDA Intramural Research Center); Dr. August Holtyn (Research Associate at the Center for Learning and Health at the Johns Hopkins University School of Medicine); Dr. Udi Ghitza (CCTN); Dr. Dee Blumberg (CCC); Jennifer McCormack (DSC); Shahin Samiei (University of Memphis); Andrea Meier (Dartmouth); Bethany McLeman (Dartmouth); Samantha Auty (Dartmouth).