What does this research mean for the field?

Gamma and beta EEG subbands, when analyzed using Short-time Fourier transform image descriptors and a Naïve Bayes classifier, achieve high accuracy in differentiating ictal from healthy and interictal states. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

February 3, 2021Journal of Mobile MultimediaOpen Access

ROC Analysis of EEG Subbands for Epileptic Seizure Detection using Naïve Bayes Classifier

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Key result

Text outlines River Publishers author submission guidelines and contains no clinical study data.

Population

1-D EEG data (ictal, interictal, and healthy classes)

Comparison

EEG subbands (delta, theta, alpha, beta, gamma) analyzed via Naïve Bayes classifier

Authors

MSMustafa SameerQuaid-e-Awam University of Engineering, Science and Technology BGBharat GuptaNational Institute of Technology Patna

Discussion

Member takes

Implication

No clinical data available; leaves open all questions on EEG subbands for seizure detection.

Structured PICO

Population

EEG data for epileptic seizure detection (ictal, interictal, and healthy classes)

Intervention

Naïve Bayes (NB) classifier using Haralick features from STFT-converted EEG subbands (delta, theta, alpha, beta, gamma)

Outcome

Area Under the Curve (AUC) for classifying between ictal and healthy class, and ictal and interictal classsurrogate

Gamma and beta EEG subbands provide high accuracy (AUC 0.98 and 0.96, respectively) for detecting epileptic seizures using a Naïve Bayes classifier.

Cite This Study

Sameer et al. (2021) studied this question. The provided text consists of author submission guidelines for River Publishers and does not contain any clinical study data or findings.

synapsesocial.com/papers/6a18388f4f2b3115b0138dfc https://doi.org/10.13052/jmm1550-4646.171315

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ROC Analysis of EEG Subbands for Epileptic Seizure Detection using Naïve Bayes Classifier

Discussion

Member takes

Implication

Structured PICO

Cite This Study

ROC Analysis of EEG Subbands for Epileptic Seizure Detection using Naïve Bayes Classifier

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider