Biological marker and methods
AssigneeThe Penn State Research Foundation
InventorsBruce J. Gluckman, Fatemeh Bahari, Steven J. Schiff
Life of this patent
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Abstract
Systems, methods, and other techniques for monitoring, including non-invasive monitoring, of biological markers based on the interaction, temporal association, or coincidence of brain activity and periphery activity in a mammal are provided. Systems and methods for generating a behavioral state-independent representation of cardiac activity and for identifying cardiac events and/or brain-periphery, e.g., brain-cardiac, temporal associations useful as biomarkers of disease such as, e.g., neurologic disease, in a mammal are also provided.
Claims18
A method for estimating the risk of occurrence of a physiological event in a mammal prior to the occurrence of the physiological event, comprising:
- obtaining brain activity data that describes brain activity of the mammal over a first period of time;
- obtaining peripheral activity data that describes peripheral activity of the mammal over a second period of time;
- receiving, by at least one device, brain data from a brain activity measurement device that describes brain activity of a mammal over the first period of time;
- receiving, by the at least one device, periphery data from a peripheral activity measurement device that describes peripheral activity of a mammal over the second period of time;
- generating, by the at least one device, one or more brain feature representations based on the brain data;
- generating, by the at least one device, one or more periphery feature representations based on the periphery data;
- generating, by the at least one device, one or more brain statistical distributions of the one or more brain feature representations;
- generating, by the at least one device, one or more periphery statistical distributions of the one or more periphery feature representations;
- identifying, by the at least one device, one or more brain feature representations that fall outside of a predetermined range in the brain statistical distribution to generate a set of one or more target brain feature representations;
- identifying, by the at least one device, one or more periphery feature representations that fall outside of a predetermined range in the periphery statistical distribution to generate a set of one or more target periphery feature representations;
- determining, by the at least one device, a brain-periphery temporal association between the one or more target brain feature representations and the one or more target periphery feature representations;
- determining, by the at least one device, an estimate of risk of a future physiological event based on the brain-periphery temporal association;
- and
- providing, by the at least one device, an indication of the estimate of risk of the future physiological event.
Dependencies are inferred from the claim text.