Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A quadratic linear-parabolic model-based classification to detect
  epileptic EEG seizures   The two-point central difference is a common algorithm in biological signal
processing and is particularly useful in analyzing physiological signals. In
this paper, we develop a model-based classification method to detect epileptic
seizures that relies on this algorithm to filter EEG signals. The underlying
idea is to design an EEG filter that enhances the waveform of epileptic
signals. The filtered signal is fitted to a quadratic linear-parabolic model
using the curve fitting technique. The model fitting is assessed using four
statistical parameters, which are used as classification features with a random
forest algorithm to discriminate seizure and non-seizure events. The proposed
method was applied to 66 epochs from the Children Hospital Boston database.
Results show that the method achieves fast and accurate detection of epileptic
seizures, with a 92% sensitivity, 96% specificity, and 94.1% accuracy.

26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
1
The categories of this paper are: cs
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys