This study looks to explore the feasibility, sensitivity, validity, and specificity of a Remote Wireless Sensor Network (RWSN) approach to the detection of cocaine use/intoxication in the inpatient human laboratory, as well as in the outpatient setting ("real world"). Lastly, we look to design an algorithm for reliably detecting cocaine use in real-world settings and inference techniques for understanding the relationship between cocaine use and user contexts.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
5
Connecticut Mental Health Center
New Haven, Connecticut, United States
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Hand-based/Foot-based Skin Conductance
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