Adaptive remote sensing paradigm for real-time alerting of convulsive epileptic seizures

HIGHLIGHTS

SUMMARY

    The essential innovation proposed in this contribution is the addition of an adaptive or machine_learning (ML) functionality to the system. The first option relies on a supervised validation of the detected events where a qualified observer identifies the true detections from the false alerts. The authors achieved the automated classification by estimating the average distance to similar events surrounding each detected event. To summarize, the novelties are: introduction and implementation of an algorithm for continuous adaptation of the seizure detection parameters; and_(2) introduction and implementation of an autonomous procedure for retrospective validation of . . .

     

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