• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

What it should mean for an algorithm to pass a statistical Turing test for detection of epileptiform discharges.

作者信息

Westover M Brandon, Halford Jonathan J, Bianchi Matt T

机构信息

Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.

Department of Neurology, Medical University of South Carolina, Charleston, SC, USA.

出版信息

Clin Neurophysiol. 2017 Jul;128(7):1406-1407. doi: 10.1016/j.clinph.2017.02.026. Epub 2017 Mar 16.

DOI:10.1016/j.clinph.2017.02.026
PMID:28495216
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9359665/
Abstract
摘要

相似文献

1
What it should mean for an algorithm to pass a statistical Turing test for detection of epileptiform discharges.对于一种算法而言,通过用于检测癫痫样放电的统计图灵测试意味着什么。
Clin Neurophysiol. 2017 Jul;128(7):1406-1407. doi: 10.1016/j.clinph.2017.02.026. Epub 2017 Mar 16.
2
Reply to "What it should mean for an algorithm to pass a statistical Turing test for detection of epileptiform discharges".对《算法通过癫痫样放电检测的统计图灵测试意味着什么》的回复
Clin Neurophysiol. 2017 Jul;128(7):1408-1409. doi: 10.1016/j.clinph.2017.03.006. Epub 2017 Mar 16.
3
Deep learning for detection of focal epileptiform discharges from scalp EEG recordings.基于深度学习的头皮 EEG 记录中局灶性癫痫样放电的检测。
Clin Neurophysiol. 2018 Oct;129(10):2191-2196. doi: 10.1016/j.clinph.2018.06.024. Epub 2018 Jul 9.
4
Unsupervised Learning of Spatiotemporal Interictal Discharges in Focal Epilepsy.无监督学习在局灶性癫痫中的时空间发性放电
Neurosurgery. 2018 Oct 1;83(4):683-691. doi: 10.1093/neuros/nyx480.
5
Epileptiform Discharges and Frontal Paroxysmal EEG Abnormality Act as Predictive Marker for Subsequent Epilepsy in Children With Complex Febrile Seizures.癫痫样放电和额部阵发性脑电图异常作为复杂性热性惊厥儿童后续癫痫的预测指标。
Clin EEG Neurosci. 2014 Oct;45(4):299-303. doi: 10.1177/1550059413507568. Epub 2014 Feb 28.
6
An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard.基于人工智能的 EEG 算法用于检测癫痫样 EEG 放电:与诊断金标准的验证。
Clin Neurophysiol. 2020 Jun;131(6):1174-1179. doi: 10.1016/j.clinph.2020.02.032. Epub 2020 Apr 2.
7
Clinical Impact of Epileptiform Discharge in Children With Attention-Deficit/Hyperactivity Disorder (ADHD).注意力缺陷多动障碍(ADHD)患儿癫痫样放电的临床影响
J Child Neurol. 2016 Apr;31(5):584-8. doi: 10.1177/0883073815604223. Epub 2015 Sep 4.
8
Multidimensional Feature Optimization Based Eye Blink Detection Under Epileptiform Discharges.癫痫样放电下基于多维特征优化的眨眼检测
IEEE Trans Neural Syst Rehabil Eng. 2022;30:905-914. doi: 10.1109/TNSRE.2022.3164126. Epub 2022 Apr 12.
9
With or without spikes: localization of focal epileptic activity by simultaneous electroencephalography and functional magnetic resonance imaging.有或无棘波:同步脑电图和功能磁共振成像定位局灶性癫痫活动。
Brain. 2011 Oct;134(Pt 10):2867-86. doi: 10.1093/brain/awr156. Epub 2011 Jul 12.
10
Duration of electroencephalographic recordings in patients with epilepsy.癫痫患者脑电图记录的持续时间。
Seizure. 2013 Jul;22(6):438-42. doi: 10.1016/j.seizure.2013.02.016. Epub 2013 Apr 12.

引用本文的文献

1
Expert-Level Detection of Epilepsy Markers in EEG on Short and Long Timescales.在短期和长期时间尺度上对脑电图中癫痫标记物进行专家级检测。
NEJM AI. 2025 Jul;2(7). doi: 10.1056/aioa2401221. Epub 2025 Jun 26.
2
Quantitative evaluation of electrographic response to electroconvulsive therapy in super-refractory status epilepticus.超难治性癫痫持续状态下电休克治疗脑电图反应的定量评估
Front Neurol. 2024 Dec 16;15:1493336. doi: 10.3389/fneur.2024.1493336. eCollection 2024.
3
Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data.发作间期癫痫样放电与人类颅内神经生理学数据质量
Front Hum Neurosci. 2020 Mar 3;14:44. doi: 10.3389/fnhum.2020.00044. eCollection 2020.
4
Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms.专家在脑电图中识别发作间期癫痫样放电的组内信度。
JAMA Neurol. 2020 Jan 1;77(1):49-57. doi: 10.1001/jamaneurol.2019.3531.
5
Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation.专家级脑电图解读中癫痫样放电自动检测的发展。
JAMA Neurol. 2020 Jan 1;77(1):103-108. doi: 10.1001/jamaneurol.2019.3485.
6
Scalp recorded spike ripples predict seizure risk in childhood epilepsy better than spikes.头皮记录的棘波涟漪比棘波更能预测儿童癫痫的发作风险。
Brain. 2019 May 1;142(5):1296-1309. doi: 10.1093/brain/awz059.

本文引用的文献

1
Automated spike detection in EEG.脑电图中的自动尖峰检测
Clin Neurophysiol. 2017 Jan;128(1):241-242. doi: 10.1016/j.clinph.2016.11.018. Epub 2016 Nov 28.
2
Spike detection: Inter-reader agreement and a statistical Turing test on a large data set.尖峰检测:大型数据集上的阅片者间一致性及统计图灵测试
Clin Neurophysiol. 2017 Jan;128(1):243-250. doi: 10.1016/j.clinph.2016.11.005. Epub 2016 Nov 14.
3
Characteristics of EEG Interpreters Associated With Higher Interrater Agreement.与更高评分者间一致性相关的脑电图解读人员的特征
J Clin Neurophysiol. 2017 Mar;34(2):168-173. doi: 10.1097/WNP.0000000000000344.
4
Computerized epileptiform transient detection in the scalp electroencephalogram: obstacles to progress and the example of computerized ECG interpretation.头皮脑电图中癫痫样瞬变的计算机化检测:进展的障碍及计算机化心电图解读示例
Clin Neurophysiol. 2009 Nov;120(11):1909-1915. doi: 10.1016/j.clinph.2009.08.007. Epub 2009 Oct 15.
5
A glossary of terms most commonly used by clinical electroencephalographers and proposal for the report form for the EEG findings. The International Federation of Clinical Neurophysiology.临床脑电图学家最常用术语词汇表及脑电图检查结果报告表建议。国际临床神经生理学联合会。
Electroencephalogr Clin Neurophysiol Suppl. 1999;52:21-41.