BIOSIGNAL ANALYTICS

State of the art machine learning algorithms that employ high dimensional models have yet to be applied because data resources to support training of such systems are lacking. Our proposed approach directly addresses these issues through the use of (1) big data resources such as the Temple University Hospital (TUH) EEG Corpus, (2) state of the art machine learning algorithms based on advanced statistical models, and (3) a combination of spatial and temporal context, adaption and normalization algorithms to reduce false alarm rates... We are dedicated to improving the quality of healthcare through the use of automated interpretation technology based on machine learning algorithms. We leverage big data resources to train sophisticated models capable of self-organizing information and discovering underlying structure.

Also known as: Biosignal Analytics, Inc.

Primary location: Philadelphia United States