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超长期脑电监测(ULTEEM)系统:实现癫痫患者院外电脑信号的用户友好记录

Ultra-Long-Term-EEG Monitoring (ULTEEM) Systems: Towards User-Friendly Out-of-Hospital Recordings of Electrical Brain Signals in Epilepsy.

机构信息

Swiss Center for Electronics and Microtechnology (CSEM SA), 2002 Neuchâtel, Switzerland.

Sleep-Wake-Epilepsy Center, Department of Neurology, Inselspital Bern, University Hospital, University of Bern, 3010 Bern, Switzerland.

出版信息

Sensors (Basel). 2024 Mar 14;24(6):1867. doi: 10.3390/s24061867.

Abstract

Epilepsy is characterized by the occurrence of epileptic events, ranging from brief bursts of interictal epileptiform brain activity to their most dramatic manifestation as clinically overt bilateral tonic-clonic seizures. Epileptic events are often modulated in a patient-specific way, for example by sleep. But they also reveal temporal patterns not only on ultra- and circadian, but also on multidien scales. Thus, to accurately track the dynamics of epilepsy and to thereby enable and improve personalized diagnostics and therapies, user-friendly systems for long-term out-of-hospital recordings of electrical brain signals are needed. Here, we present two wearable devices, namely ULTEEM and ULTEEMNite, to address this unmet need. We demonstrate how the usability concerns of the patients and the signal quality requirements of the clinicians have been incorporated in the design. Upon testbench verification of the devices, ULTEEM was successfully benchmarked against a reference EEG device in a pilot clinical study. ULTEEMNite was shown to record typical macro- and micro-sleep EEG characteristics in a proof-of-concept study. We conclude by discussing how these devices can be further improved and become particularly useful for a better understanding of the relationships between sleep, epilepsy, and neurodegeneration.

摘要

癫痫的特征是癫痫事件的发生,范围从短暂的发作间期癫痫样脑活动爆发到最明显的临床表现,即临床明显的双侧强直阵挛发作。癫痫事件通常以患者特异性的方式进行调节,例如通过睡眠。但它们也揭示了不仅在超日和近昼夜,而且在多日尺度上的时间模式。因此,为了准确跟踪癫痫的动态,从而实现和改善个性化诊断和治疗,需要用户友好的长期院外电脑信号记录系统。在这里,我们提出了两种可穿戴设备,即 ULTEEM 和 ULTEEMNite,以满足这一未满足的需求。我们展示了如何将患者的可用性问题和临床医生的信号质量要求纳入设计中。在对设备进行测试台验证后,ULTEEM 在一项试点临床研究中成功地与参考脑电图设备进行了基准测试。在概念验证研究中,ULTEEMNite 被证明可以记录典型的宏观和微观睡眠脑电图特征。最后,我们讨论了如何进一步改进这些设备,并使其特别有助于更好地理解睡眠、癫痫和神经退行性变之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee39/10975815/fdaa212acdcb/sensors-24-01867-g001.jpg

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