Opioid overdose is manifested by respiratory depression, which is a complex set of physiologic conditions defined by Medtronic as either (A) “respiratory rate ≤5 breaths/min (bpm), SpO2 ≤85%, or end-tidal carbon dioxide ≤15 or ≥60 mm Hg” for ≥3 minutes of (B) an “apnea episode lasting >30 seconds”.
To detect opioid overdose, the Resilient Monitor measures a user’s vital signs, specifically heart rate, respiratory rate, and oxygen saturation. We’ve built a custom patch-based sensor that is worn on the abdomen and uses the proven sensing technologies of photoplethysmography (PPG) and accelerometry for this purpose.
Digital signal processing algorithms transform the raw output from PPG and accelerometry into vital sign measurements. These algorithms need to be calibrated on human data, since the input signal changes at different locations on the body. We enrolled 30 participants, each of whom wore:
Participants engaged in different activities throughout the study to modulate the vital signs of interest:
Since PPG can vary across different skin tones, and since our device is worn on the abdomen, we made sure to include a variety of different skin tones and BMIs in our pool of participants:
Over the past few months, we’ve been using the data collected from this study to calibrate our sensing algorithms for vital sign monitoring.
For a look behind the scenes, see video here: Pittsburgh Region. Next is Now.