Brain SD/RP Wave Detection for Early Neurological Recovery Prognosis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current prognostic tools for neurological outcome after cardiac arrest are unreliable and delayed, often providing results only hours or days after resuscitation, failing to guide timely therapeutic interventions due to high false positive/negative rates and the progression of ischemic brain damage.
Innovation Solution
A multimodal electrophysiological and optical monitoring system that detects spreading depolarization (SD) and repolarization (RP) waves in the brain during and after cardiac arrest, utilizing devices like EEG/ECoG and optical measurements to determine a neurological outcome score in real-time, allowing for early intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current prognostic tools (neurological exams, brain imaging, electrophysiologic testing) are used, then neurological outcome can be assessed, but results are delayed (24-72 hours) and have high false positive/negative rates
Solution Approach 1:
The patent applies preliminary action by detecting spreading depolarization (SD) waves during the cardiac arrest event itself, before traditional prognostic tools can be administered. The SD detection system provides ultra-early prognostication at the time of arrest, allowing clinicians to make informed decisions about resuscitation strategies and resource allocation immediately, rather than waiting 24-72 hours for conventional tests.
2Loss of time
If conventional prognostic tools are administered early, then timely decision-making is enabled, but the tools are not yet available or have not matured for use
Solution Approach 1:
The patent applies self-service by utilizing the brain's own physiological response (spreading depolarization waves) as the prognostic marker. The SD waves are naturally occurring phenomena that happen during cardiac arrest and can be detected using standard EEG equipment, eliminating the need for external, complex, or尚未成熟的 prognostic tools. This self-service approach enables reliable ultra-early prognostication using the patient's own biological signals.
3Loss of time
If spreading depolarization detection is implemented, then ultra-early prognostication is achieved, but device complexity and monitoring requirements increase
Solution Approach 1:
The patent applies universality by using standard EEG equipment to detect spreading depolarization waves, the same technology already widely available in clinical settings for routine brain activity monitoring. This multi-functional approach allows the existing EEG system to serve both its traditional purpose and the new prognostic function of detecting SD waves during cardiac arrest, avoiding the need for specialized, complex dedicated SD detection devices.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time assessment of neurological condition and potential improvement by inducing SD/RP, correlating earlier onset of these waves with better outcomes, providing a reliable early prognostication tool for guiding therapeutic strategies.
Implementation Method 1
an electrophysiological monitoring device for detecting spreading depolarization (SD) and repolarization (RP) in the brain
Implementation Method 2
one or more optical measurement devices for measuring cerebral blood flow (CBF), tissue oxygenation, and/or tissue scattering in the brain
Data Source
AI summary
Electrophysiologic biomarkers for prognostication of neurological outcome are described herein. An inverse correlation was found between timing of a cortical spreading depolarization (SD) wave and neurological outcome as tested at 24 hours post-CPR. Additionally, a minor image of this SD was identified as a “repolarization (RP) wave.” Quantifying features of SD and RP during cardiac arrest and cardiopulmonary resuscitation (CPR) provide important metrics for diagnosis and prognosis of neurological injury from hypoxia-ischemia and can serve as an early prognostication tool for predicting outcome at subsequent days after successful CPR. This discovery may also allow for novel therapeutic interventions to improve neurological recovery after hypoxia-ischemia insults.


