Predicting Hypoventilation Due to an Opioid Overdose
common.study.values.description
“Development of an Algorithm That Predicts Hypoventilation Due to an Opioid Overdose”
RTM Vital Signs, LLC is developing a miniature wearable tracheal sound sensor that communicates with a cell phone containing a machine-learning diagnostic algorithm designed to detect and predict the onset of mild, moderate, and severe hypoventilation (respiratory depression) due to an opioid overdose. The purpose of this clinical trial is to develop/validate diagnostic algorithms capable of detecting/predicting the onset of hypoventilation induced by a controlled intravenous infusion of fentanyl. The wearable sensor and algorithms will provide a series of alerts and alarms to the person, caregiver, and/or emergency personnel.
common.study.values.location
participant.ui.study.affiliations-map.online-study.header-virtual
participant.ui.study.affiliations-map.online-study.text
common.study.values.methods
common.study.methods.has-drugs-no
common.study.methods.is-healthy-no
Device - Diagnostic algorithms that detects/predicts hypoventilation
Produce mild and moderate respiratory depression (hypoventilation) using a controlled intravenous infusion of fentanyl while measuring/recording respiratory rate, tidal volume, body activity, and body position.
participant.views.study.view.additional
participant.views.study.view.scientific-title
Development of an Algorithm That Predicts Hypoventilation Due to an Opioid Overdose
common.study.values.clinical-trial-id
NCT03845699
participant.views.study.view.id
b82z2e
