SilenceMap
Novel algorithm SilenceMap[TM] enables automatic detection of “Neural Silences” following brain injury, leading to high-precision patient care
What are algorithms?
Algorithms are procedures written to discover and identify statistical patterns in large groups of data. Machine learning uses these programmed algorithms to receive data, analyze it, and predict potential outcomes which helps solve complex problems accurately and efficiently.
At Precision Neurscopics, we’ve developed algorithms to detect activity (or lack thereof) which can be indicative of brain injury. Using algorithms to assist in patient treatment increases patient access to potentially lifesaving medical care.
SilenceMap is a novel algorithm which allows for rapid detection of Neural Silences using cost-effective electroencephalogram (EEG) signals.
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Similar to CSD’s, Neural Silences are defined as decreases in the brain’s standard electrical activity, and are common after Traumatic Brain Injuries. Unlike CSD’s, Neural Silences typically do not move.
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Detecting and localizing these regions typically require expensive and time-consuming imaging devices (e.g. MRI Machines). This results in a limited number of patients being scanned, and inequity of medical care in clinical settings where such devices are not available. The use of EEG signals allows for faster, more equitable, and more cost-effective methods of detecting Neural Silences.
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When compared to similar methodologies, SilenceMap showed significantly better localization performance. SilenceMap will bring improved care to more patients, while lowering time and costs for care providers.
