Strokewatch: Noninvasive Stroke Detection Using Electroencephalography (EEG)
Tech ID: 32908 / UC Case 2022-166-0
The invention enables real-time bedside quantitative electroencephalography-based noninvasive stroke detection. Current quantitative approaches to detect stroke require interpretation by trained experts: a limited resource in most hospital settings. Through application of a novel and highly sensitive EEG algorithm, electrical field attenuations can be used to visualize areas of cerebral ischemia in real-time to facilitate non-expert interpretation.
- Enables real-time quantitative stroke detection by non-experts
- Facilitates early detection of stroke to support:
- Timely and efficient triage, resource allocation, and procedural intervention
- Reduction in neurological disability and patient mortality
- Decreased length of hospital stay and care escalation
- Compatible with existing EEG monitoring platforms and hardware, minimal data input requirement
- Real-time stroke detection and monitoring
- Home-based stroke monitoring
- Pre-hospital deployment for stroke triage (e.g., in ambulance)
- Emergency Department triage and monitoring
- Intraoperative monitoring
- Critical care monitoring
- Real-time seizure detection and monitoring
- Real-time visualization of focal seizures
- Traumatic head injury
- Pre-hospital deployment for neurosurgical triage (e.g., in ambulance)
- In-hospital monitoring for injury expansion (e.g., hematoma or hemorrhage)
Looking for Partners
To further develop and commercialize the technology.
Stage of Development
Proof of concept. Pilot/early validation study conducted in pediatric population.