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A machine learning system for automated whole-brain seizure detection
Fergus, P., Hussain, A., Hignett, David, Al-Jumeily, D., Abdel-Aziz, Khaled, Hamdan, Hani
Published in Applied computing & informatics (01.01.2016)
Published in Applied computing & informatics (01.01.2016)
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Cloud computing for seizure detection in implanted neural devices
Baldassano, Steven, Zhao, Xuelong, Brinkmann, Benjamin, Kremen, Vaclav, Bernabei, John, Cook, Mark, Denison, Timothy, Worrell, Gregory, Litt, Brian
Published in Journal of neural engineering (01.04.2019)
Published in Journal of neural engineering (01.04.2019)
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A Feature Fusion Framework and Its Application to Automatic Seizure Detection
Huang, Chengbin, Chen, Weiting, Chen, Mingsong, Yuan, Binhang
Published in IEEE signal processing letters (2021)
Published in IEEE signal processing letters (2021)
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EEG based epileptic seizure detection methods
Bharathipriya, C., Manigandan, M. D., Sudha, G., Velvizhi, V. A., Prakash, Jeya, Kadambarajan, Sasikala, V.
Published in AIP conference proceedings (28.09.2022)
Published in AIP conference proceedings (28.09.2022)
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MCAN: Cross-domain self-supervised attention network based on multiscale EEG feature learning for epileptic seizure detection
Hong, Tingxuan, Li, Desheng, Chang, Yuan, Wang, Xiangqing, Cai, Ziliang, Wang, Rongfei, Zhang, Xiaochen, Liu, Xiaoya, Yang, Chunxiao, Yu, Shengyuan, Liu, Shuang, Ming, Dong
Published in Knowledge-based systems (09.10.2025)
Published in Knowledge-based systems (09.10.2025)
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Validation of an EEG seizure detection paradigm optimized for clinical use in a chronically implanted subcutaneous device
Bacher, Dan, Amini, Andrew, Friedman, Daniel, Doyle, Werner, Pacia, Steven, Kuzniecky, Ruben
Published in Journal of neuroscience methods (01.07.2021)
Published in Journal of neuroscience methods (01.07.2021)
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Seizure detection using the wristband accelerometer, gyroscope, and surface electromyogram signals based on in-hospital and out-of-hospital dataset
Wang, Guangming, Yan, Hao, Li, Wen, Sheng, Duozheng, Ren, Liankun, Wang, Qun, Zhang, Hua, Zhang, Guojun, Yu, Tao, Wang, Gang
Published in Seizure (London, England) (01.04.2025)
Published in Seizure (London, England) (01.04.2025)
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Automatic seizure detection and classification using super-resolution superlet transform and deep neural network -A preprocessing-less method
Tripathi, Prashant Mani, Kumar, Ashish, Kumar, Manjeet, Komaragiri, Rama S.
Published in Computer methods and programs in biomedicine (01.10.2023)
Published in Computer methods and programs in biomedicine (01.10.2023)
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Automatic Seizure Detection Using Modified CNN Architecture and Activation Layer
Khan, Izhar Dad, Farooq, Omar, Khan, Yusuf Uzzaman
Published in Journal of physics. Conference series (01.08.2022)
Published in Journal of physics. Conference series (01.08.2022)
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Improved performance on seizure detection in an automated electroencephalogram signal under evolution by extracting entropy feature
Munirathinam, Revathi, Ponnan, Suresh, Chakraborty, Chinmay, Umathurai, Saravanakumar
Published in Multimedia tools and applications (01.04.2022)
Published in Multimedia tools and applications (01.04.2022)
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Continuous EEG in Pediatric Critical Care: Yield and Efficiency of Seizure Detection
Sansevere, Arnold J, Duncan, Elizabeth D, Libenson, Mark H, Loddenkemper, Tobias, Pearl, Phillip L, Tasker, Robert C
Published in Journal of clinical neurophysiology (01.09.2017)
Published in Journal of clinical neurophysiology (01.09.2017)
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NeuroFuzzXAI: A Hybrid Artificial Intelligence Framework for Epileptic Seizure Detection
Costi, Flavia, Roman, Emanuel Covaci-Ovidiu, Onchis, Darian
Published in Applied medical informatics (01.05.2025)
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Published in Applied medical informatics (01.05.2025)
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Improved patient specific seizure detection during pre-surgical evaluation
Chua, Eric C.-P., Patel, Kunjan, Fitzsimons, Mary, Bleakley, Chris J.
Published in Clinical neurophysiology (01.04.2011)
Published in Clinical neurophysiology (01.04.2011)
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