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 method for identifying changes in an epilepsy patient's disease state, comprising:
receiving at least one body data stream; determining at least one of an autonomic index, a neurologic index, a metabolic index, an endocrine index, a tissue index, or a tissue stress index, a physical fitness or body integrity index based upon the at least one body data stream; detecting a plurality of seizure events based upon the at least one determined index; determining at least one seizure metric value for each seizure event in the plurality of seizure events; performing a first classification analysis of the plurality of seizure events based on the at least one seizure metric value for each seizure event; detecting at least one additional seizure event based upon the at least one determined index; determining at least one seizure metric value for each of the at least one additional seizure events, 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 selected from:
a. reporting a change from the first classification to the second classification;b. reporting the absence of a change from the first classification to the second classification;c. displaying a result of at least one of the first classification analysis, the second classification analysis, and the comparing;d. identifying the emergence of a new class based on the comparing;e. identifying the disappearance of a prior class based on the comparing;f. identifying one or more outlier seizure events not part of any class;g. identifying an effect of a therapy;h. providing a therapy to the patient in response to the comparing;i. identifying a proposed change in therapy;j. identifying a proposed additional therapy;k. identifying an extreme seizure event;l. issuing a warning if a new seizure class appears or an extreme event occurs;m. logging to memory the time, date and type of change in the patient's seizures.