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2 results about "Epilepsy treatment" patented technology

Treatment for epilepsy includes medical management or may include surgery, depending on the underlying abnormality that is causing the seizures. Medication ( anticonvulsants) which may prevent or reduce the frequency of seizures, is the first line of treatment for the vast majority of seizures.

A method for localizing epileptogenic zones based on high-frequency oscillations and connectivity

ActiveCN116269441Bprecise positioningThe solution accuracy is not highDiagnostic signal processingSensorsEpilepsy treatmentAlgorithm
This invention discloses a method for locating epileptogenic zones based on high-frequency oscillations and connectivity, comprising the following steps: 1. Acquiring SEEG data and selecting representative channels; 2. Filtering to acquire 54-200Hz signals and selecting baseline and target data; 3. Acquiring normalized high-frequency energy; 4. Calculating time and energy coefficients to obtain a high-frequency epileptogenicity index; 5. Filtering to acquire 12-45Hz signals; 6. Calculating nonlinear regression analysis; 7. Calculating total intensity; 8. Defining and calculating the connectivity high-frequency epileptogenicity index and evaluating performance. This invention can accurately locate epileptogenic zones in patients with different seizure patterns, and has potential application value in epilepsy treatment.
Owner:YANSHAN UNIV

Method for adjusting model parameters based on electroencephalographic signals, epilepsy treatment device

The present application belongs to the technical field of physiological electrical signals, and particularly relates to a method for adjusting model parameters based on electroencephalogram signals and an epilepsy treatment device. First, a loss factor is obtained according to the phase state of training data, that is, a missed detection rate and a detection delay time are obtained according to seizure period data, a false alarm number is obtained according to inter-period data, and an alarm time is obtained according to pre-seizure data. Then, based on the loss factor, candidate parameters are obtained. Finally, the parameters of the detection model are adjusted according to the candidate parameters. The loss factor is combined with the phase state of the data, and then the parameters of the model are trained. According to the detection requirements, the phase state of the data sample and the adaptive detection model can be selected, so that the model parameters and the data characteristics are more matched, and the weight of the sample category does not need to be considered.
Owner:BRIGHTON INTELLIGENT TECHNOLOGY (CHANGZHOU) CO LTD