Award Abstract # 1914873
SCH: INT: Opioid Overdose Detection and Reversal Using Sensors and Mobile Devices

NSF Org: IIS
Division of Information & Intelligent Systems
Recipient: UNIVERSITY OF WASHINGTON
Initial Amendment Date: August 29, 2019
Latest Amendment Date: July 1, 2021
Award Number: 1914873
Award Instrument: Standard Grant
Program Manager: Wendy Nilsen
wnilsen@nsf.gov
 (703)292-2568
IIS
 Division of Information & Intelligent Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2019
End Date: August 31, 2025 (Estimated)
Total Intended Award Amount: $994,855.00
Total Awarded Amount to Date: $1,026,855.00
Funds Obligated to Date: FY 2019 = $994,855.00
FY 2020 = $16,000.00

FY 2021 = $16,000.00
History of Investigator:
  • Shyamnath Gollakota (Principal Investigator)
    gshyam@cs.washington.edu
  • Jacob Sunshine (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Washington
4333 BROOKLYN AVE NE
SEATTLE
WA  US  98195-1016
(206)543-4043
Sponsor Congressional District: 07
Primary Place of Performance: University of Washington
University of Washington, CSE 10
Seattle
WA  US  98195-0001
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): HD1WMN6945W6
Parent UEI:
NSF Program(s): IIS Special Projects,
Smart and Connected Health
Primary Program Source: 01001920DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 8018, 8062, 9251
Program Element Code(s): 748400, 801800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The project aims to make significant inroads into addressing the national emergency of opioid overdose in the United States using technology. At high doses, opioids can cause rapid cessation of breathing, respiratory failure and death, the physiologic sequence by which people commonly succumb from unintentional opioid overdose. Unlike many life-threatening medical emergencies, however, opioid toxicity is readily reversed with rapid identification and administration of the overdose antidote naloxone. Thus, early detection and rapid intervention can prevent death from opioid overdose. This project will design and deploy solutions (i) that can detect opioid overdose by identifying its respiratory precursors and (ii) that employ an adhesive sensor that can automatically administer naloxone using an auto-injector when dangerous respiratory parameters are detected.

The project will develop foundational technologies that can aid with opioid overdose detection as well as reversal using wearable sensors and mobile devices. Specifically, the proposal, if successful, would make the following technical contributions: 1) design a novel, low-barrier, harm-reduction intervention solution to track breathing in a contactless manner using active sonar in order to detect critical respiratory precursors of opioid overdose, and 2) a new wearable electronic device that is integrated with an auto-injector to deliver naloxone, the overdose antidote, after detecting respiratory parameters consistent with an opioid overdose event. The developed technologies will be tested and deployed with the target population to evaluate their efficacy. The project aims to make significant progress towards developing technology that can address the opioid crisis, using a closed loop system for identification and reversal of opioid overdose events. The team will work with existing industry collaborators to enable tech-transfer and transitioning the developed technologies to industry. The team will also reach out to an aspiring generation of engineering and medical students via K-12 classroom demonstrations as well as broad media releases. A new graduate course on mobile health will be developed that brings together computing and engineering students and students from the health sciences. Finally, smartphone demos will be showcased at DawgBytes Summer Camps and the University of Washington's Women's Initiative that encourage a diverse new generation of students to major in computer science, including women in middle and high schools.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Chan, Justin and Ali, Nada and Najafi, Ali and Meehan, Anna and Mancl, Lisa R. and Gallagher, Emily and Bly, Randall and Gollakota, Shyamnath "An off-the-shelf otoacoustic-emission probe for hearing screening via a smartphone" Nature Biomedical Engineering , v.6 , 2022 https://doi.org/10.1038/s41551-022-00947-6 Citation Details
Chan, Justin and Iyer, Vikram and Wang, Anran and Lyness, Alexander and Kooner, Preetma and Sunshine, Jacob and Gollakota, Shyamnath "Closed-loop wearable naloxone injector system" Scientific Reports , v.11 , 2021 https://doi.org/10.1038/s41598-021-01990-0 Citation Details
Chan, Justin and Michaelsen, Kelly and Estergreen, Joanne K. and Sabath, Daniel E. and Gollakota, Shyamnath "Micro-mechanical blood clot testing using smartphones" Nature Communications , v.13 , 2022 https://doi.org/10.1038/s41467-022-28499-y Citation Details
Chan, Justin and Najafi, Ali and Baker, Mallory and Kinsman, Julie and Mancl, Lisa R. and Norton, Susan and Bly, Randall and Gollakota, Shyamnath "Performing tympanometry using smartphones" Communications Medicine , v.2 , 2022 https://doi.org/10.1038/s43856-022-00120-9 Citation Details
Kim, Maruchi and Wang, Anran and Jelacic, Srdjan and Bowdle, Andrew and Gollakota, Shyamnath and Michaelsen, Kelly "A Low-power wearable acoustic device for accurate invasive arterial pressure monitoring" Communications Medicine , v.3 , 2023 https://doi.org/10.1038/s43856-023-00296-8 Citation Details
Long, Dustin R and OReilly-Shah, Vikas and Rustagi, Alison S and Bryson-Cahn, Chloe and Jerome, Keith R and Weiss, Noel S and Sunshine, Jacob E "Incidence of Health CareAssociated COVID-19 During Universal Testing of Medical and Surgical Admissions in a Large US Health System" Open Forum Infectious Diseases , v.7 , 2020 https://doi.org/10.1093/ofid/ofaa435 Citation Details
Long, Dustin R. and Sunshine, Jacob E. and Van Cleve, Wil "Considerations for Assessing Risk of Provider Exposure to SARS-CoV-2 after a Negative Test" Anesthesiology , v.133 , 2020 https://doi.org/10.1097/ALN.0000000000003392 Citation Details

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page