Crowdsourced Seizure Prediction

GORDY SLACK

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Crowdsourced Seizure Prediction

机译：众包癫痫发作预测

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Fifty million people have epilepsy, and many suffer brutally unpredictable seizures. If the seizures could be anticipated, electrical brain implants could stop a nascent seizure in its tracks, or at least give patients warning. For 15 years the National Institutes of Health and other agencies spent $40 million trying - and never quite succeeding - to devise algorithms that could spot a growing neurologic storm. Then a frustrated group of epilepsy physicians invited computer nerds around the world to take a shot instead, providing data sets recorded from the brains of human epilepsy patients and epileptic dogs.

机译：五千万人患有癫痫病，许多人遭受了无法预测的残酷折磨。如果可以预见癫痫发作，则脑电植入物可以阻止其初期发作，或者至少可以给患者警告。在15年的时间里，美国国立卫生研究院（National Institutes of Health）和其他机构花费了4000万美元试图（但从未完全成功）设计出可以发现不断增长的神经系统风暴的算法。然后，一群沮丧的癫痫医师邀请世界各地的计算机书呆子去射击，提供从人类癫痫患者和癫痫犬的大脑中记录的数据集。

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《Discover》 |2015年第10期|12-12|共1页
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1. Ensembling crowdsourced seizure prediction algorithms using long‐term human intracranial EEG [J] . Reuben Chip, Karoly Philippa, Freestone Dean R., Epilepsia: Journal of the International League against Epilepsy . 2020,第2期

机译：使用长期人颅内脑电图合并众包癫痫发作预测算法
2. Do false predictions of seizures depend on the state of vigilance? A report from two seizure-prediction methods and proposed remedies. [J] . Schelter B, Winterhalder M, Maiwald T, Epilepsia: Journal of the International League against Epilepsy . 2006,第12期

机译：对癫痫发作的错误预测是否取决于警惕状态？两种癫痫发作预测方法的报告和建议的补救措施。
3. Does the “surprisingly popular” method yield accurate crowdsourced predictions? [J] . Abraham M. Rutchick, Bryan J. Ross, Dustin P. Calvillo, Cognitive Research: Principles and Implications . 2020,第1期

机译：“令人惊讶的流行”方法是否会产生准确的众群预测？
4. Is Prediction of the Time of a Seizure Onset the Only Valueof Seizure-prediction Studies?~(1)) [C] . Anatol Braginjerome EngelJr International Workshop on Epileptic Seizure Prediction . 2008

机译：是预测癫痫发作的时间唯一的癫痫发作 - 预测研究的价值吗？〜（1））
5. Multi-Feature Analysis of Eeg Signal on Seizure Patterns and Deep Neural Structures for Prediction of Epileptic Seizures [D] . Ma, Xinyuan. 2020

机译：癫痫发作模式和深神经结构对癫痫癫痫发作预测的多种特征分析
6. Does the surprisingly popular method yield accurate crowdsourced predictions? [O] . Abraham M. Rutchick, Bryan J. Ross, Dustin P. Calvillo, 2020

机译：令人惊讶的流行方法是否会产生准确的众群预测？
7. Do False Predictions of Seizures Depend on the State of Vigilance? A Report from Two Seizure-Prediction Methods and Proposed Remedies [O] . Björn Schelter, Matthias Winterhalder, Thomas Maiwald, 2006

机译：对癫痫发作的虚假预测取决于警惕状态？两种癫痫预测方法和拟议补救措施的报告
8. Commercialization of Seizure Prediction Technology Promises and Pitfalls of Biosignal Analysis: Seizure Prediction and Management (A case study);. [R] . Rise, M. T. 2001

机译：癫痫发作预测技术的商业化承诺和生物信号分析的缺陷：癫痫预测和管理（案例研究）;

Crowdsourced Seizure Prediction

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