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Development of a tracheal sound sensor for early detection of hypoventilation due to opioid overdose.

Award Number: R41DA047779
ORGANIZATION: NATIONAL INSTITUTE ON DRUG ABUSE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 05/15/2019
PERIOD OF PERFORMANCE END DATE: 04/30/2022

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Development of a tracheal sound sensor for early detection of hypoventilation due to opioid overdose. - Abstract More than 64,000 Americans died from drug overdose in 2016 and drug overdose is now the most common cause of death for people under 50 years old in the United States. Furthermore, the number of overdose deaths is increasing with the rise of abuse of powerful synthetic opioids, such as fentanyl. In May of 2017 National Institutes of Health (NIH) and National Institute on Drug Abuse (NIDA) directors Drs. Collins and Volkow outlined how research may help reduce the death toll associated with the current opioid epidemic; one of the current critical needs is the development of new overdose-reversal interventions, including wearable technologies that can detect an (impending) overdose from physiological signals to signal for help, or trigger a coupled automated injection of naloxone. Automated detection of overdose is essential because most opioid overdoses occur when individuals are alone and unobserved by family members or first responders. Opioids cause respiration to slow and become irregular due to mu-opioid receptor mediated suppression of respiratory related regions of the brainstem and spinal cord. Importantly, there are characteristic early changes in breathing pattern that indicate a progression towards significant hypoventilation, but there is currently no easy-to –use method or device to measure these patterns non-invasively. Recently, there has been a renewed interest in respiratory monitoring using tracheal sounds. Tracheal sounds originate from the vibrations of the tracheal wall and surrounding soft tissues caused by gas pressure fluctuations in the trachea. These sounds can be collected from a microphone placed over the trachea and analyzed to determine the real-time respiratory rate and an estimate of respiratory flow and tidal volume. We hypothesize that individual trends in tracheal sounds detected by a machine- learning algorithm will provide an early warning sign of the onset of hypoventilation as a result of opioid overdose in humans. The aims of this proposal are to develop a machine learning algorithm that detects impending hypoventilation due to an opioid overdose and to develop an initial design for a miniature wireless tracheal sound sensor.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2023 ( Subtotal = $0 )
2023	2019	RTM VITAL SIGNS LLC	8 RICHARDS WAY	AMBLER	PA	19002	MONTGOMERY	USA	Drug Use and Addiction Research Programs	000	1	6/20/2023	NEW	$0
														Subtotal = $0

Issue Date FY: 2021 ( Subtotal = $0 )
2021	2019	RTM VITAL SIGNS, LLC	8 RICHARDS WAY	AMBLER	PA	19002	MONTGOMERY	USA	Drug Use and Addiction Research Programs	000	1	3/4/2021	NEW	$0
														Subtotal = $0

Issue Date FY: 2019 ( Subtotal = $236,381 )
2019	2019	RTM VITAL SIGNS, LLC	439 DRESHERTOWN RD	FORT WASHINGTON	PA	19034	MONTGOMERY	USA	Drug Use and Addiction Research Programs	000	1	5/13/2019	NEW	$236,381
														Subtotal = $236,381

Grand Total All Awards = $236,381

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Development of a tracheal sound sensor for early detection of hypoventilation due to opioid overdose.

Award Number: R41DA047779

ORGANIZATION: NATIONAL INSTITUTE ON DRUG ABUSE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 05/15/2019

PERIOD OF PERFORMANCE END DATE: 04/30/2022

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