State characterization based on multi-variate data fusion techniques
First Claim
1. A system comprising:
- an ingestible event marker device configured to collect Ingestible Event Marker (IEM) data from a body of an individual and transmit a signal comprising the IEM data, wherein the IEM data comprise information associated with an ingestion event;
a receiver adapted to be associated with the body of the individual, the receiver configured to receive the signal comprising the IEM data via the body of the individual associated with the receiver;
a hub configured to receive the IEM data from the receiver; and
at least one IEM data system configured to;
receive the IEM data from the hub;
analyze the IEM data and generate at least one metric based on the IEM data; and
generate predictive information based on the at least one metric, wherein the predictive information is related to a prediction of a state of the individual.
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Abstract
The disclosed system includes an ingestible event marker device configured to collect Ingestible Event Marker (IEM) data from a body of an individual and transmit a signal including the IEM data, wherein the IEM data include information associated with an ingestion event, a receiver adapted to be associated with the body of the individual and configured to receive the signal including the IEM data via the body of the individual, a hub to receive the IEM data from the receiver, and at least one IEM data system to receive the IEM data from the hub. The at least one IEM data system analyzes the IEM data and generates at least one metric based on the IEM data. The at least one IEM data system may further generate predictive information based on the at least one metric, wherein the predictive information is related to prediction of a state of the individual.
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Citations
25 Claims
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1. A system comprising:
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an ingestible event marker device configured to collect Ingestible Event Marker (IEM) data from a body of an individual and transmit a signal comprising the IEM data, wherein the IEM data comprise information associated with an ingestion event; a receiver adapted to be associated with the body of the individual, the receiver configured to receive the signal comprising the IEM data via the body of the individual associated with the receiver; a hub configured to receive the IEM data from the receiver; and at least one IEM data system configured to; receive the IEM data from the hub; analyze the IEM data and generate at least one metric based on the IEM data; and generate predictive information based on the at least one metric, wherein the predictive information is related to a prediction of a state of the individual. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A system comprising:
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an Ingestible Event Marker (IEM) device configured to collect IEM data from a body of an individual associated with the IEM device and transmit a signal comprising the IEM data, wherein the IEM data comprise information associated with an ingestion event; and at least one IEM data system configured to process the IEM data, the at least one IEM data system comprising a processor and a non-transitory machine readable medium, wherein the non-transitory machine readable medium comprises instructions that when executed by the processor cause the processor to; analyze the IEM data and generate at least one metric based on the IEM data; and generate predictive information based on the at least one metric, wherein the predictive information is related to a prediction of a state of the individual; wherein the IEM data is received from the body of the individual. - View Dependent Claims (22, 23, 24)
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25. A system comprising:
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an ingestible event marker device configured to collect Ingestible Event Marker (IEM) data from a body of an individual and transmit a signal comprising the IEM data, wherein the IEM data comprise information associated with an ingestion event; a receiver adapted to be associated with the body of the individual, the receiver configured to receive the signal comprising the IEM data via the body of the individual associated with the receiver; a hub configured to receive the IEM data; and at least one IEM data system configured to; receive the IEM data from the hub; analyze the IEM data and generate at least one metric based on the IEM data; and generate predictive information based on the at least one metric; wherein the predictive information comprises an indication of a likelihood of adherence to a medication regimen.
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Specification