Wearable Sensor for Monitoring Respiratory Failure in Sleep Disorders

Principal Investigator: 

Julianne Imperato-McGinleyThe Abby Rockefeller Mauzé Distinguished Professor of Endocrinology in Medicine

Background & Unmet Need

  • Sleep-related breathing disorders affect about 34% of men and 17% of women, and are characterized by episodes of disrupted breathing at night1
  • Many of these disorders, most notably sleep apnea, may cause symptoms such as daytime sleepiness, waking up at night, snoring, heart damage, and even increased risk of car accidents
  • The gold standard for diagnosis of sleep disorders is a laboratory sleep study, which requires a subject to spend a night sleeping in a clinical center
  • At-home diagnostic tests have been developed but do not diagnose all cases of sleep apnea and may have to be confirmed with laboratory studies
  • Other chronic respiratory disorders, as well as acute respiratory events like those caused by addiction, require improved and portable respiratory monitoring
  • Unmet Need: Comfortable and unobtrusive wearable device capable of detecting respiratory events

Technology Overview

  • The Technology: A non-invasive, non-contact and low-cost wearable sensor that uses a near-field coherent (NCS) sensing multiplexing antenna to monitor respiratory failure and provide alert signals
  • The NCS techniques work on the principle that body movement can be clearly and unambiguously retrieved from the RF antenna characteristics, and then be correlated with vital signs
  • PoC Data: The vital signs are digitally recorded and broadcasted by the tag in the outdoor environment, and a ceiling-mounted reader connects to the sensing tag to retrieve the wearer’s vital signs (Fig. 1)
  • The sensor successfully detects different respiratory events (Fig. 2)
  • The initial data showed that the invention’s accuracy in cardiopulmonary functions is comparable to respiratory inductive plethysmography (RIP) and phonocardiogram (PCG) measurements (Fig. 3)

Technology Applications

  • Detection of sleep-related breathing disorders (e.g., sleep apnea, obesity hypoventilation syndrome)
  • Monitoring respiratory health and recovery in patients with respiratory disorders such as COPD or Covid-19
  • Detection of respiratory events in opioid users

Technology Advantages

  • No immediate skin contact or tension belts
  • Minimal constraint of user range of motion
  • Cost-effective: Anticipated cost per unit < $5 under mass production
  • Equivalent accuracy compared to RIP, ECG, and phonocardiogram (PCG)
  • Minimal RF radiation for user safety and limited interference to other wireless modules

 

Figure depicting the NCS system components.

Intellectual Property

Patents

  • US Application Filed
  • Additional applications filed in EP, CN, TP, US

Cornell Reference

  • 8812

Contact Information

Dr. Jeff James

For additional information please contact

Jeffrey James
Associate Director, Business Development and Licensing
Phone: (646) 962-4194
Email: jaj268@cornell.edu