Epileptic seizure detection using fuzzy-rules-based sub-band specific features and layered multi-class SVM

S Ramakrishnan… - Pattern Analysis and …, 2019 - Springer
In this paper, a new epileptic seizure detection method using fuzzy-rules-based sub-band
specific features and layered directed acyclic graph support vector machine (LDAG-SVM) is …
被引用次数：41 相关文章

Epileptic seizure detection using fuzzy-rules-based sub-band specific features and layered multi-class SVM

S Ramakrishnan, ASM Murugavel - Pattern Analysis and Applications, 2018 - infona.pl
In this paper, a new epileptic seizure detection method using fuzzy-rules-based sub-band
specific features and layered directed acyclic graph support vector machine (LDAG-SVM) is …
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[PDF][PDF] Epileptic seizure detection using fuzzy-rules-based sub-band specific features and layered multi-class SVM

S Ramakrishnan… - Pattern Analysis and …, 2019 - drive.google.com
In this paper, a new epileptic seizure detection method using fuzzy-rules-based sub-band
specific features and layered directed acyclic graph support vector machine (LDAG-SVM) is …

Epileptic seizure detection using fuzzy-rules-based sub-band specific features and layered multi-class SVM

S Ramakrishnan… - Pattern Analysis & …, 2019 - dl.acm.org
In this paper, a new epileptic seizure detection method using fuzzy-rules-based sub-band
specific features and layered directed acyclic graph support vector machine (LDAG-SVM) is …