Identification of Epilepsy Seizures Using Multi-resolution Analysis and Artificial Neural Networks
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-05170-3_23
Reference35 articles.
1. Addison, P.S.: The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering Medicine and Finance. IOP Publishing, England (2002)
2. Andrzejak, R.G., Lehnertz, K., Mormann F., Rieke D., David P., Elger, C.: Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. Phys. Rev. E. 64(6), 061907-1, 061907-8 (2001). doi: 10.1103/PhysRevE.64.061907
3. Anusha, K.S., Mathew, T.M., Subha, D.P.: Classification of normal and epileptic EEG signal using time & frequency domain features through artificial neural network. In: International Conference on Advances in Computing and Communications. IEEE (2012)
4. Bashashati, M., Fatourechi, R., Ward, K., Birch, G.E.: A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J. Neural Eng. 4(2), R32–R57 (2007)
5. Berger, H.: Über das elektrenkephalogramm des menschen. Arch. F. Psichiat. 87, 527–570 (1929)
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An Investigation on Epileptic Seizure Classification Using Machine Learning and Multiple Feature Selection Strategies;2022 3rd International Conference for Emerging Technology (INCET);2022-05-27
2. Horse Optimization Algorithm Based Recurrent Neural Network Method for Epileptic Seizures Classification;IFMBE Proceedings;2022
3. Classifying epilepsy pragmatically: Past, present, and future;Journal of the Neurological Sciences;2021-08
4. Prediction of epileptic seizures using fNIRS and machine learning;Journal of Intelligent & Fuzzy Systems;2020-02-06
5. Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals;Computers in Biology and Medicine;2019-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3