CorBand: A novel wearable wrist sensor for heart failure remote monitoring

Information

  • Research Project
  • 9202845
  • ApplicationId
    9202845
  • Core Project Number
    R44HL125001
  • Full Project Number
    2R44HL125001-02
  • Serial Number
    125001
  • FOA Number
    PA-15-269
  • Sub Project Id
  • Project Start Date
    8/1/2014 - 11 years ago
  • Project End Date
    7/31/2018 - 7 years ago
  • Program Officer Name
    DESVIGNE-NICKENS, PATRICE
  • Budget Start Date
    8/22/2016 - 9 years ago
  • Budget End Date
    7/31/2017 - 8 years ago
  • Fiscal Year
    2016
  • Support Year
    02
  • Suffix
  • Award Notice Date
    8/19/2016 - 9 years ago
Organizations

CorBand: A novel wearable wrist sensor for heart failure remote monitoring

ReThink Medical, Inc. proposes to develop an ambulatory version of the physiologic monitoring technology it validated in Phase I, the CorBand. The CorBand is designed to track key physiologic parameters that are predictive of cardiac decompensation, to detect the early stages of decompensation, and to relay both the physiologic data and generated alerts to relevant caregivers with the end goal of reducing hospitalizations by enabling proactive/preventative care in the heart failure population. Heart failure effects 5.8 million individuals in the US and the costs associated are approaching $40 billion annually. This technology will not only improve the quality of life for heart failure patients, but also help to reduce this massive burden on the US healthcare system. Our long term objective is to help drive the transformation from the reactive pay-for-service healthcare paradigm to one that puts emphasis on preventative care through health monitoring technologies. Our specific aims include (1) manufacturing a robust version of the device for use in two large, long term, ambulatory studies. It will be validated using patients who have cardiac implantable electronic devices (CIEDs). Heart rate (HR), heart rate variability (HRV), activity levels, and fluid index derived from the CorBand will be compared with data collected from CIEDs manufactured by Medtronic and Boston Scientific and analyzed for correlation. (2) The CorBand will be deployed in a large ambulatory population of HF patients. We will collect the patient's clinical notes and note hospitalization events along with remote physiologic data from the CorBand. We will use this data to further build a predictive model for cardiac decompensation using a number of machine learning approaches. In aim (3), we will perform a controlled study on a population of HF patients. All the subjects will wear the CorBand; we will use the data from half the subjects to predict decompensation events, provide that information to subject's caregiver in order to provide preventative care. The other half will receive usual care. We will then examine the number of HF related hospitalizations in both groups to evaluate the ability of the CorBand to reduce hospitalizations.

IC Name
NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
  • Activity
    R44
  • Administering IC
    HL
  • Application Type
    2
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    1009410
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    837
  • Ed Inst. Type
  • Funding ICs
    NHLBI:1009410\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    RETHINK MEDICAL, INC.
  • Organization Department
  • Organization DUNS
    961843302
  • Organization City
    SAN FRANCISCO
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    941022906
  • Organization District
    UNITED STATES