Characterization of interictal and ictal scalp EEG signals with the Hilbert transform

机译：用希尔伯特变换表征发作性和发作性头皮脑电信号

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The present paper reports on the application of the Hilbert transform to biological time series of the brain electrical activity of epilepsy patients. The Hilbert transform will be used to estimate the instantaneous frequency, the instantaneous amplitude and the phase synchronization of scalp EEG recordings. As a fourth measure derived from the Hilbert transform we will define a measure of rhythmicity. The purpose of this paper is to combine the time evolution of these four measures to come to a characterization of the dynamics present in, and between, different EEG channels. By applying these measures to scalp EEG recordings of patients with Mesial Temporal Lobe Epilepsy we will show that they are useful for off-line analysis of large amounts of EEG data. Because all these measures are derived from the fast Hilbert transform it is also possible to use them as an analysis tool for online monitoring.

机译：本文报道了希尔伯特变换在癫痫患者脑电活动的生物学时间序列中的应用。希尔伯特变换将用于估计头皮脑电图记录的瞬时频率，瞬时幅度和相位同步。作为从希尔伯特变换得出的第四个小节，我们将定义节奏的小节。本文的目的是结合这四种方法的时间演变，以表征不同EEG通道内和之间存在的动力学特征。通过将这些措施应用于中颞叶癫痫患者的头皮脑电图记录，我们将显示它们可用于大量脑电图数据的离线分析。由于所有这些度量均来自快速的希尔伯特变换，因此也可以将它们用作在线监视的分析工具。

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《Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE》|2003年|p.2459-2462|共4页
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De Clercq; W.; Lemmerling; P.; Van Paesschen; W.; Van Huffel; S.;
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中图分类无线电电子学、电信技术;
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patient monitoring; electroencephalography; Hilbert transforms; time series; bioelectric phenomena; diseases; ictal scalp EEG signals; interictal scalp EEG signals; Hilbert transform; biological time series; brain electrical activity; epilepsy patients; instantaneous frequency; instantaneous amplitude; phase synchronization; scalp EEG recordings; rhythmicity measure; time evolution; Mesial Temporal Lobe Epilepsy; off-line analysis;

机译：患者监护;脑电图;希尔伯特变换;时间序列;生物电现象;疾病;发作性头皮脑电图信号;发作性头皮脑电图信号;希尔伯特变换;生物学时间序列;脑电活动;癫痫患者;瞬时频率;瞬时振幅;相位同步;头皮脑电图记录;心律测量;时间演变;颞叶中叶癫痫;离线分析;

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1. Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy – A comparison with scalp EEG monitoring [J] . I.C. Zibrandtsen, P. Kidmose, C.B. Christensen, Clinical neurophysiology . 2017,第12期

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2. Interictal EEG and ictal scalp EEG propagation are highly predictive of surgical outcome in mesial temporal lobe epilepsy. [J] . Schulz R, Luders HO, Hoppe M, Epilepsia: Journal of the International League against Epilepsy . 2000,第5期

机译：发作间期脑电图和发作性头皮脑电图的传播高度预测了颞中叶癫痫的手术结局。
3. Temporal epileptogenesis: localizing value of scalp and subdural interictal and ictal EEG data. [J] . Blume WT, Holloway GM, Wiebe S Epilepsia: Journal of the International League against Epilepsy . 2001,第4期

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4. Modeling and interpretation of scalp-EEG and depth-EEG signals during interictal activity [C] . Cosandier-Rimele, D., Badier, Engineering in Medicine and Biology Society, 2007 Annual International Conference of the IEEE . 2007

机译：脑室活动期间头皮脑电信号和深度脑电信号的建模和解释
5. An active micromachined scalp electrode array for EEG signal recording. [D] . Alizadeh-Taheri, Babak. 1994

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6. Modeling and interpretation of scalp-EEG and depth-EEG signals during interictal activity [O] . Delphine Cosandier-Rimélé, Jean-Michel Badier, Patrick Chauvel, -1

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7. Haemodynamic correlates of interictal and ictal epileptic discharges and ictal semiology using simultaneous scalp video-EEG-fMRI and intracranial EEG-fMRI [O] . Chaudhary UJ 2013

机译：同步头皮视频-EEG-fMRI和颅内EEG-fMRI的发作间期和发作期癫痫放电与血液学符号学的血流动力学相关性

Characterization of interictal and ictal scalp EEG signals with the Hilbert transform

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