High Performance Seizure Monitoring and Alert System

Information

  • Research Project
  • 9327071
  • ApplicationId
    9327071
  • Core Project Number
    R44NS064647
  • Full Project Number
    5R44NS064647-07
  • Serial Number
    064647
  • FOA Number
    PAR-14-208
  • Sub Project Id
  • Project Start Date
    3/1/2009 - 16 years ago
  • Project End Date
    7/31/2018 - 6 years ago
  • Program Officer Name
    FERTIG, STEPHANIE
  • Budget Start Date
    8/1/2017 - 7 years ago
  • Budget End Date
    7/31/2018 - 6 years ago
  • Fiscal Year
    2017
  • Support Year
    07
  • Suffix
  • Award Notice Date
    7/31/2017 - 7 years ago

High Performance Seizure Monitoring and Alert System

? DESCRIPTION (provided by applicant): Patients are frequently hospitalized for management of uncontrolled seizures due to epilepsy or acute neurological insults such as trauma, stroke, infections, and a number of toxic and metabolic disorders. However, inpatient management of seizures is complicated by the fact that they occur intermittently and unpredictably, and thus it i not infrequent that patients' seizures go unrecognized. This can result in unnecessarily prolonged hospital stays, or worse, delay of treatment and irreversible brain injury. Therefore, there is a great need to develop an accurate bed-side seizure monitroing and alert (SMA) system. The overall goal of this SBIR project remains to be the development and commercialization of the CereScope, an all-in-one high-quality full-scalp (10-20 system) EEG acquisition device with capability of real-time signal display, real-time electrode impedance monitoring, as well as high-performance seizure monitoring and alert (SMA) in nearly real-time. Intended clinical settings include but are not limited to, ambulatory EEG monitoring, epilepsy monitoring units (EMUs), intensive care units (ICUs), emergency departments (EDs), and general care units for neurology and neurosurgical patients. Researchers at Optima Neuroscience have developed several automated algorithms to accurately detect seizures (for different patient populations) by analyzing the spatiotemporal patterns of scalp EEG signals. The algorithm for adult EMU patients was incorporated in our IdentEvent seizure detection software, which received FDA approval on October 16, 2009. During the Phase I and Phase II of this SBIR project, we completed CereScope's (1) hardware design and software implementation, (2) electric safety (UL) test, (3) signal quality assessment on normal volunteer subjects, (4) fully integration with the SMA module, and (5) pilot clinical study on EMU patients. Building upon these achievements and with the strong support of our research teams, we now propose in this Phase IIB application a pathway to expand the diagnostic utility of the CereScope. It has been well-documented that, despite of some underlying similarities, there exist significant differences in both ictal and background EEG patterns among these patient populations. Therefore, to ensure CereScope's clinical utility, in this Phase IIB application, we propose to conduct three clinical studies, each in a different patient population. Each clinical study will be conducted at four major medical centers. These studies will evaluate how well the CereScope records video and EEG signals while simultaneously analyzing the sending alerts for possible seizure events. The studies will also generate performance statistics (sensitivity and false detection rate) on real-time seizure detection. This Phase IIB has the following specific aims: (1) complete performance validation of CereScope(tm) for adult EMU patients, (2) complete performance validation of CereScope(tm) for adult ambulatory cEEG patients, and (3) complete performance validation of CereScope(tm) for adult ICU patients. Successful commercialization of CereScope(tm) will improve inpatient management of seizures by allowing for detection of intermittent and previously misdiagnosed events.

IC Name
NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
  • Activity
    R44
  • Administering IC
    NS
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    629208
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    853
  • Ed Inst. Type
  • Funding ICs
    NINDS:629208\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    OPTIMA NEUROSCIENCE, INC.
  • Organization Department
  • Organization DUNS
    602615507
  • Organization City
    ALACHUA
  • Organization State
    FL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    326156826
  • Organization District
    UNITED STATES