Bioresp Technologies, Inc. proposes development of RespiLife, a new wearable device to to track physiologic data for early detection of opioid overdose and to relay data and the generated alerts to relevant caregivers for further intervention. The goal is to reduce the number opioids-related deaths by early detection of overdose. Opioid epidemic death toll has quadrupled since 1999. About half of those deaths are due to prescription opioids and for the most part are unintentional. RespiLife tracks oxygen saturation, respiratory rate, and pulse rate and based on a machine learning algorithm will determine changes from the baseline and correlation of those changes with changes in medications. Our specific aims are: (1) Production of five working prototypes with their algorithm to use in our validation study. (2) A validation study to compare our data with a gold-standard device and carry out statistical analysis for evaluation of agreement and accuracy.
Public Health Relevance Statement: Public Health Relevance: Currently we in the midst of an opioid overdose epidemic that has resulted in a four fold increase in death rate since 1999.
Project Terms: 911 call; addiction; Adverse effects; Advertisements; Agreement; Alcohols; Algorithms; base; Benzodiazepines; California; care providers; Caregivers; Cause of Death; Centers for Disease Control and Prevention (U.S.); Cessation of life; chronic pain patient; Clinic; Clinical Research; Clinical Trials; Communities; Conduct Clinical Trials; Data; Data Analyses; Databases; Death Rate; design; Development; Devices; Doctor of Philosophy; dosage; Dose; Early Diagnosis; Electrical Engineering; Emergency response; emergency service/first responder; Emergency Situation; Epidemic; Evaluation; Event; experience; Family member; FDA approved; follow-up; Forehead; Goals; Gold; Home environment; Human; Industry; innovation; Intervention; Life; Machine Learning; Medical; Methods; Monitor; monitoring device; Naloxone; Opioid; opioid epidemic; opioid mortality; opioid overdose; Opioid user; Overdose; Oxygen; Pain; Patient Care; Patients; Pharmaceutical Preparations; Physiologic pulse; Physiological; Polysomnography; Positioning Attribute; prescription opioid; prevent; Production; programs; prototype; public health relevance; Pulse Rates; recruit; Regimen; Reporting; Research Personnel; respiratory; Safety; signal processing; Signal Transduction; Sleep; Specialist; Statistical Data Interpretation; Supervision; Technology; Testing; Tidal Volume; United States National Institutes of Health; validation studies; wearable device; web site
