Detecting, assessing and managing epilepsy using a multi-variate, metric-based classification analysis

摘要

A method for identifying changes in an epilepsy patient's disease state, comprising: receiving at least one body data stream; determining at least one body index from the at least one body data stream; detecting a plurality of seizure events from the at least one body index; determining at least one seizure metric value for each seizure event; performing a first classification analysis of the plurality of seizure events from the at least one seizure metric value; detecting at least one additional seizure event from the at least one determined index; determining at least one seizure metric value for each additional seizure event, performing a second classification analysis of the plurality of seizure events and the at least one additional seizure event based upon the at least one seizure metric value; comparing the results of the first classification analysis and the second classification analysis; and performing a further action.

主权项

1. A medical device system, comprising:
a seizure determination unit configured to detect at least one seizure event based upon body data of a patient; a cardiac data acquisition unit configured to receive cardiac data of the patient; a seizure metric determination unit configured to determine, for the seizure event, at least two seizure metric values characterizing the seizure event, wherein each of said at least two seizure metric values is based at least in part on a cardiac index; a classification analysis unit configured to classify the seizure event as resulting in cardiac dysfunction based at least in part upon the at least two seizure metric values, wherein the classification analysis unit is configured to identify one or more seizure classes by determining one or more relationships among at least a portion of a plurality of seizure events, wherein the one or more relationships are based on the at least two seizure metric values for each seizure event; a classification analysis comparator unit configured to identify a change in at least one class of said one or more seizure classes from a first classification analysis to a second classification analysis; and an event/warning unit configured to issue a warning of the seizure event resulting in cardiac dysfunction.