Classification of EEG Signal by Training Neural Network with Swarm Optimization for Identification of Epilepsy

Tahir, Iqra; Qamar, Usman; Abbas, Hassan T.; Zeb, Babar; Abid, Sana

doi:10.1145/3318299.3318374

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…This technique is tested on different standard dataset. Tahir et al [9] presented EEG classification using swarm optimization with neural network for epilepsy detection. The algorithm is implemented on MATLAB tool and simulated with standard EEG databases.…”

Section: Introductionmentioning

confidence: 99%

Efficient electro encephelogram classification system using support vector machine classifier and adaptive learning technique

Dalal

Bhairannawar

2022

IJEECS

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Complex <span>modern signal processing is used to automate the analysis of electro encephelogram (EEG) signals. For the diagnosis of seizures, approaches that are simple and precise may be preferable rather than difficult and time-consuming. In this paper, efficient EEG classification system using support vector machine (SVM) and Adaptive learning technique is proposed. The database EEG signals are subjected to temporal and spatial filtering to remove unwanted noise and to increase the detection accuracy of the classifier by selecting the specific bands in which most of the EEG data are present. The neural network based SVM is used to classify the test EEG data with respect to training data. The cost-sensitive SVM with proposed Adaptive learning classifies the EEG signals where the adaptive learning with probability based function helps in prediction of the future samples and this leads in improving the accuracy with detection time. The detection accuracy of the proposed algorithm is compared with existing which shows that the proposed algorithm can classify the EEG signal more </span>effectively.

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Section: Introductionmentioning

confidence: 99%

Efficient electro encephelogram classification system using support vector machine classifier and adaptive learning technique

Dalal

Bhairannawar

2022

IJEECS

View full text Add to dashboard Cite

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Understanding Contexts and Challenges of Information Management for Epilepsy Care

Min

Miller

Rocha

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Enhancing Epilepsy Awareness and Cooperative Care in Elementary and Middle Schools

Min,

Trueblood Miller,

Connelly

et al. 2024

Proc. ACM Hum.-Comput. Interact.

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Epilepsy, a prevalent chronic neurological disorder, presents numerous challenges for people with epilepsy (PWEs) and their caregivers. They experience difficulties in receiving proper care and support due to stigma and misconceptions. Promoting public awareness in early education would be critical to reduce the stigma and to properly support them. We conducted 145 surveys and 21 interviews with teachers, school nurses, and parents of elementary and middle school students. While the participants exhibited slightly positive attitudes towards PWEs, we identified obstacles that hinder learning about epilepsy and seizure first aid: inadequate education and limited information sharing among school stakeholders. Moreover, there is a pressing need for age-appropriate education that considers the students' ages and perceptual levels. Considering the current limitations and needs, we propose potential implications for future information and communication technologies (ICTs) designs, including knowledge-sharing systems and an educational game aimed at enhancing epilepsy awareness and fostering collaborative care in elementary and middle school environments.

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Classification of EEG Signal by Training Neural Network with Swarm Optimization for Identification of Epilepsy

Cited by 3 publications

References 15 publications

Efficient electro encephelogram classification system using support vector machine classifier and adaptive learning technique

Efficient electro encephelogram classification system using support vector machine classifier and adaptive learning technique

Understanding Contexts and Challenges of Information Management for Epilepsy Care

Enhancing Epilepsy Awareness and Cooperative Care in Elementary and Middle Schools

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