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Method and System for the Diagnosis of Cerebral Abnormality

Portable Monitoring and Evaluating System for Diagnosing Brain Injuries

This electroencephalogram (EEG) measures the voltage, waveform and frequency of electrical activity from neurons in the brain without the need for special shielded facilities or the subject remaining motionless. Current EEG systems suffer from lack of portability and require technicians to interpret results. The global brain monitoring market should reach $8.0 billion by 2026, up from $5.8 billion in 2021. The EEG equipment market was $1.4 billion in 2018 and should reach nearly $2 billion by 2026.

 

Researchers at the University of Florida have developed a portable brain monitoring system that can be used outside of a medical exam rooms or in emergency settings. This technology interprets results for the user, providing results quickly to medical professionals and non-technical staff.

 

 

Application

Rapid evaluation of brain function in patients with traumatic brain injury, concussion, and other causes of altered mental status

 

Advantages

  • Portable, allowing the system to be used outside of a hospital environment
  • Guides the operator in set-up and operating procedures, reducing evaluation errors
  • Can issue warnings in real time for identified abnormalities at a certain period of time, facilitating its use as an everyday monitor

 

Technology

This technology allows for the monitoring and evaluating of brain abnormalities in various settings such as emergency rooms, intensive care units, emergency vehicles, and in the field. It receives signals associated with neuronal activity, evaluates their status, and classifies them according to the known and possible abnormalities of a mammalian brain. The system’s immediate interpretation of the EEG lends itself for use in the field, or at point of care, when an electroencephalographer is not available and someone not proficient in EEG hardware can apply the recording device and obtain the required information. The device also contains a self-examining algorithm to monitor the recording quality and a classifier for each of the disease states.

Patent Information: