SEEG signal processing methods in the application of epilepsy recognition-Reference-Cited by-同舟云学术

SEEG signal processing methods in the application of epilepsy recognition

Published:2022-02-21 Issue: Volume: Page:
ISSN:
Container-title:2022 10th International Winter Conference on Brain-Computer Interface (BCI)
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Author:

Wang Aiping¹,Wang Junkongshuai¹,Liu Lusheng¹,Mu Wei¹,Wang Pengchao¹,Zhang Jing¹,Song Zuoting¹,Zhang Yuan¹,Zhan Gege¹,Zhang Xuze¹,Zhang Lihua¹,Kang Xiaoyang¹

Affiliation:

1. Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Academy for Engineering & Technology,Shanghai,China

Funder

National Natural Science Foundation of China

Fudan University

Ji Hua Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9734304/9734309/09734950.pdf?arnumber=9734950

Reference26 articles.

1. An Integrative Approach to Study Structural and Functional Network Connectivity in Epilepsy Using Imaging and Signal Data

2. Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG

3. Phase-amplitude coupling between infraslow and high-frequency activities well discriminates between the preictal and interictal states

4. Seizure localization using pre ictal phase-amplitude coupling in intracranial electroencephalography

5. Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy

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