Electrographic seizure monitoring with a novel, wireless, single-channel EEG sensor.
Electrographic seizure monitoring with a novel, wireless, single-channel EEG sensor.
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DOI：
10.1016/j.cnp.2021.04.003
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发表时间：
2021
影响因子：
1.7
通讯作者：
Spitz MC
中科院分区：
文献类型：
--
作者：
Frankel MA;Lehmkuhle MJ;Watson M;Fetrow K;Frey L;Drees C;Spitz MC
癫痫医生可以准确地查看单通道EEG数据。所有癫痫发作在单通道EEG中至少从一个Epilog位置可见。癫痫医生对Epilog EEG的回顾比个人癫痫日记更准确。使用个人癫痫发作日记记录癫痫发作在日常生活中可能具有挑战性，许多癫痫发作被遗漏或误报。癫痫患者可以通过拥有一个更准确和客观的可穿戴EEG系统来计数癫痫发作，该系统可以在医院外使用。本研究的目的是（1）确定哪些癫痫发作类型可以从发际线以下的头皮进行电描记记录，（2）确定癫痫病学家从全蒙太奇有线EEG提取的单通道识别电描记癫痫发作的能力，以及（3）确定癫痫病学家从Epilog（一种无线单通道EEG传感器）识别电描记癫痫发作的能力。在癫痫监测单元（EMU）监测期间同时佩戴Epilog传感器。在标准治疗审查期间，询问癫痫病学家癫痫发作的电图部分是否在Epilog传感器近端位置的有线电极的单个通道上可见，如果是局灶性发作，则询问哪个电极最靠近病灶。从这些位置，将从有线全导联EEG和近端Epilog传感器中提取的单通道EEG与已知癫痫发作发生时的标记（取自标准护理审查）一起沿着给3名盲态癫痫病学家。发作间期的对照节段作为对照。询问癫痫病学家在标记处或附近的单通道EEG记录中是否可见癫痫发作事件。在访问欧洲货币联盟期间，40名佩戴Epilog的成年人中有22人共记录了75次癫痫发作。对于所有癫痫发作事件，癫痫医生能够在Epilog传感器近端的至少一个有线电极上可视化已知的癫痫发作活动。癫痫病学家在71%的Epilog记录和84%的单通道有线记录中准确地识别了癫痫发作，并且当癫痫发作以临床惊厥结束时，与未以临床惊厥结束的癫痫发作相比（>55%），Epilog识别癫痫发作的准确率为92%。癫痫病学家能够在Epilog传感器容易放置在发际线以下头皮上的位置处的EEG的单通道上可视化癫痫发作活动。可以在单通道EEG数据上快速准确地手动查看癫痫发作注释（>70% TP和>98% PPV）。回顾单通道EEG比癫痫日记中自我报告癫痫发作的文献中报道的更准确，癫痫日记是EMU以外癫痫发作计数的当前护理标准。可穿戴EEG将对医院外的癫痫监测非常重要。癫痫医生可以准确地识别癫痫发作的单通道脑电图，比病人自我报告的日记的基础上的文献。未来可使用单通道EEG上的自动或半自动癫痫发作检测来客观地计数癫痫发作，以补充EMU之外的护理标准，而不会给癫痫病学家审查带来明显负担。
Epileptologists can accurately review single-channel EEG data. All seizures were visible in single-channel EEG from at least one Epilog location. Epileptologists review of Epilog EEG is more accurate than personal seizure diaries. Recording seizures using personal seizure diaries can be challenging during everyday life and many seizures are missed or mis-reported. People living with epilepsy could benefit by having a more accurate and objective wearable EEG system for counting seizures that can be used outside of the hospital. The objective of this study was to (1) determine which seizure types can be electrographically recorded from the scalp below the hairline, (2) determine epileptologists’ ability to identify electrographic seizures from single-channels extracted from full-montage wired-EEG, and (3) determine epileptologists’ ability to identify electrographic seizures from Epilog, a wireless single-channel EEG sensor. Epilog sensors were worn concurrently during epilepsy monitoring unit (EMU) monitoring. During standard-of-care review, epileptologists were asked if the electrographic portion of the seizure was visible on single channels of wired electrodes at locations proximal to Epilog sensors, and if focal-onset, which electrode was closest to the focus. From these locations, single channels of EEG extracted from wired full-montage EEG and the proximal Epilog sensor were presented to 3 blinded epileptologists along with markers for when known seizures occurred (taken from the standard-of-care review). Control segments at inter-ictal times were included as control. The epileptologists were asked whether a seizure event was visible in the single channel EEG record at or near the marker. A total of 75 seizures were recorded from 22 of 40 adults that wore Epilog during their visit to the EMU. Epileptologists were able to visualize known seizure activity on at least one of the wired electrodes proximal to Epilog sensors for all seizure events. Epileptologists accurately identified seizures in 71% of Epilog recordings and 84% of single-channel wired recordings and were 92% accurate identifying seizures with Epilog when those seizures ended in a clinical convulsion compared to those that did not (>55%). Epileptologists are able to visualize seizure activity on single-channels of EEG at locations where Epilog sensors are easily placed on the scalp below hairline. Manual review of seizure annotations can be done quickly and accurately (>70% TP and >98% PPV) on single-channel EEG data. Reviewing single-channel EEG is more accurate than what has been reported in the literature on self-reporting seizures in seizure diaries, the current standard of care for seizure counting outside of the EMU. Wearable EEG will be important for seizure monitoring outside of the hospital. Epileptologists can accurately identify seizures in single-channel EEG, better than patient self-reporting in diaries based on the literature. Automated or semi-automated seizure detection on single channels of EEG could be used in the future to objectively count seizures to complement the standard of care outside of the EMU without the overt burden upon epileptologist review.
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影响因子：
4.7
作者：
Wilson, SB;Scheuer, ML;Gabor, AJ
通讯作者：
Gabor, AJ
影响因子：
5.6
作者：
Beniczky, Sandor;Conradsen, Isa;Wolf, Peter
通讯作者：
Wolf, Peter
DOI：
10.1109/jtehm.2017.2649491
发表时间：
2017
影响因子：
3.4
作者：
Kjaer TW;Sorensen HBD;Groenborg S;Pedersen CR;Duun-Henriksen J
通讯作者：
Duun-Henriksen J
影响因子：
5.6
作者：
Luoni, Chiara;Bisulli, Francesca;Perucca, Emilio
通讯作者：
Perucca, Emilio
影响因子：
--
作者：
Hoppe, Christian;Poepel, Annkathrin;Elger, Christian E.
通讯作者：
Elger, Christian E.