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A Real-Time Automated and Quantitative Brain Electrical Activity Monitoring System

標題

Real Time Brain Monitoring System

詳細技術說明

None

*Abstract

Invention

The University of Florida is seeking a company interested in commercializing a real-time automated and quantitative brain electrical activity monitor. The electroencephalograph (EEG) is an important clinical tool for the evaluation and diagnosis of neuropathology. The EEG allows doctors to non-invasively evaluate changes in brain electrical activity that may be associated with neurological disorders. EEGs are used in the diagnosis or monitoring of epilepsy, coma, stroke, as well as metabolic and sleep disorders. Most notably EEGs play a particularly vital role in detecting seizures and other neurological disabilities in newborn infants. While EEGs provide doctors with a wealth of valuable information, analyzing and interpreting the data is often challenging even for neurophysiologists. Further, data is often evaluated hours after the neurological event took place, which can delay timely and accurate medical decisions. Researchers at the University of Florida have developed a real-time brain monitoring system that enables changes in brain electrical activity to be quantitatively measured. This technology allows doctors to be immediately alerted if their patient exhibits changes in brain electrical activity falling outside of a normal range.

Applications

• Diagnosing neuropathological disorders
• Monitoring during anesthesia
• Evaluating the brain's physiologic response to drug treatment, as well sleep and wake states.

Advantages

• Allows the clinician to make accurate and timely medical decisions
• Increases efficiency by providing constant automated patient monitoring
• Quantitative analysis of results improves the accuracy of diagnoses and assists the physician in developing appropriate treatment and management decisions

Technology

This technology employs powerful linear and nonlinear mathematical algorithms in order to quantitatively measure deviations in brain activity from a normal state. EEGs of patients are analyzed in real-time and compared to an optimal normal range. Physicians will be automatically alerted if the patent's brain activity falls above or below this normal range. Once alerted, the physician can then evaluate the patient's brain activity, as well as a host of other physiological parameters such as heart rate, muscle tone, oxygenation, cerebral perfusion, arterial pressure, and lung tidal volume, recorded in the critical periods before during and after the neurological event.

*IP Issue Date

Oct 7, 2008

*Principal Investigation

Name: Paul Carney

Department:

Name: Deng-Shan Shiau

Department:

Name: James Sackellares

Department:

附加資料

Patent Number: US7433732B1
Application Number: US200565703A
Inventor: Carney, Paul R. | Sackellares, J. Chris | Shiau, Deng S.
Priority Date: 25 Feb 2004
Priority Number: US7433732B1
Application Date: 25 Feb 2005
Publication Date: 7 Oct 2008
IPC Current: A61B000500
US Class: 600544
Assignee Applicant: University of Florida Research Foundation Inc.inesville
Title: Real-time brain monitoring system
Usefulness: Real-time brain monitoring system
Summary: Method for monitoring neonate brain function of a patient such as newborn child.
Novelty: Neonate brain function monitoring method for e.g. newborn child, involves displaying illness index which is measured by combination of comparison results corresponding to set of measures e.g. signal energy

主要類別

生物醫學

細分類別

醫療裝置

申請日期

Feb 25, 2005

申請號碼

7,433,732

其他

國家/地區

美國