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自主生物信号、癫痫发作检测与预测。

Autonomic biosignals, seizure detection, and forecasting.

作者信息

Miron Gadi, Halimeh Mustafa, Jeppesen Jesper, Loddenkemper Tobias, Meisel Christian

机构信息

Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Berlin Institute of Health, Berlin, Germany.

出版信息

Epilepsia. 2024 Jun 5. doi: 10.1111/epi.18034.

Abstract

Wearable devices have attracted significant attention in epilepsy research in recent years for their potential to enhance patient care through improved seizure monitoring and forecasting. This narrative review presents a detailed overview of the current clinical state of the art while addressing how devices that assess autonomic nervous system (ANS) function reflect seizures and central nervous system (CNS) state changes. This includes a description of the interactions between the CNS and the ANS, including physiological and epilepsy-related changes affecting their dynamics. We first discuss technical aspects of measuring autonomic biosignals and considerations for using ANS sensors in clinical practice. We then review recent seizure detection and seizure forecasting studies, highlighting their performance and capability for seizure detection and forecasting using devices measuring ANS biomarkers. Finally, we address the field's challenges and provide an outlook for future developments.

摘要

近年来,可穿戴设备因其通过改善癫痫发作监测和预测来提升患者护理水平的潜力,在癫痫研究中备受关注。本叙述性综述详细概述了当前的临床技术水平,同时探讨了评估自主神经系统(ANS)功能的设备如何反映癫痫发作和中枢神经系统(CNS)状态变化。这包括对CNS与ANS之间相互作用的描述,包括影响其动态变化的生理和癫痫相关变化。我们首先讨论测量自主生物信号的技术方面以及在临床实践中使用ANS传感器的注意事项。然后,我们回顾最近的癫痫发作检测和预测研究,突出使用测量ANS生物标志物的设备进行癫痫发作检测和预测的性能和能力。最后,我们阐述该领域面临的挑战,并对未来发展进行展望。

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