Data Science

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.