Effects of epileptic seizures on the quality of biosignals recorded from wearables.

IF 6.6 1区 医学 Q1 CLINICAL NEUROLOGY
Epilepsia Pub Date : 2024-10-07 DOI:10.1111/epi.18138
Sebastian Böttcher, Nicolas Zabler, Michele Jackson, Elisa Bruno, Andrea Biondi, Nino Epitashvili, Solveig Vieluf, Matthias Dümpelmann, Mark P Richardson, Benjamin H Brinkmann, Tobias Loddenkemper, Andreas Schulze-Bonhage
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Abstract

Objective: Wearable nonelectroencephalographic biosignal recordings captured from the wrist offer enormous potential for seizure monitoring. However, signal quality remains a challenging factor affecting data reliability. Models trained for seizure detection depend on the quality of recordings in peri-ictal periods in performing a feature-based separation of ictal periods from interictal periods. Thus, this study aims to investigate the effect of epileptic seizures on signal quality, ensuring accurate and reliable monitoring.

Methods: This study assesses the signal quality of wearable data during peri-ictal phases of generalized tonic-clonic and focal to bilateral tonic-clonic seizures (TCS), focal motor seizures (FMS), and focal nonmotor seizures (FNMS). We evaluated accelerometer (ACC) activity and the signal quality of electrodermal activity (EDA) and blood volume pulse (BVP) data. Additionally, we analyzed the influence of peri-ictal movements as assessed by ACC (ACC activity) on signal quality and examined intraictal subphases of focal to bilateral TCS.

Results: We analyzed 386 seizures from 111 individuals in three international epilepsy monitoring units. BVP signal quality and ACC activity levels differed between all seizure types. We found the largest decrease in BVP signal quality and increase in ACC activity when comparing the ictal phase to the pre- and postictal phases for TCS. Additionally, ACC activity was strongly negatively correlated with BVP signal quality for TCS and FMS, and weakly for FNMS. Intraictal analysis revealed that tonic and clonic subphases have the lowest BVP signal quality and the highest ACC activity.

Significance: Motor elements of seizures significantly impair BVP signal quality, but do not have significant effect on EDA signal quality, as assessed by wrist-worn wearables. The results underscore the importance of signal quality assessment methods and careful selection of robust modalities to ensure reliable seizure detection. Future research is needed to explain whether seizure detection models' decisions are based on signal responses induced by physiological processes as opposed to artifacts.

癫痫发作对可穿戴设备记录的生物信号质量的影响。
目的:从手腕采集的可穿戴式非脑电图生物信号记录为癫痫发作监测提供了巨大的潜力。然而,信号质量仍然是影响数据可靠性的一个挑战性因素。在对发作期和发作间期进行基于特征的分离时,为癫痫发作检测而训练的模型依赖于发作周期的记录质量。因此,本研究旨在调查癫痫发作对信号质量的影响,确保准确可靠的监测:本研究评估了全身强直-阵挛发作(TCS)、局灶至双侧强直-阵挛发作(TCS)、局灶运动性发作(FMS)和局灶非运动性发作(FNMS)围发作期可穿戴数据的信号质量。我们评估了加速计 (ACC) 活动以及皮电活动 (EDA) 和血容量脉搏 (BVP) 数据的信号质量。此外,我们还分析了由 ACC 评估的发作期运动(ACC 活动)对信号质量的影响,并检查了局灶至双侧 TCS 的发作期亚相:我们分析了三个国际癫痫监测单位 111 人的 386 次癫痫发作。所有发作类型的 BVP 信号质量和 ACC 活动水平均有所不同。我们发现,当将 TCS 的发作期与发作前和发作后进行比较时,BVP 信号质量的下降幅度最大,而 ACC 活动的增加幅度最大。此外,TCS 和 FMS 的 ACC 活动与 BVP 信号质量呈强负相关,而 FNMS 的 ACC 活动与 BVP 信号质量呈弱相关。发作期分析表明,强直和阵挛亚相的 BVP 信号质量最低,而 ACC 活性最高:重要意义:根据腕戴式可穿戴设备的评估,癫痫发作的运动因素会严重影响 BVP 信号质量,但对 EDA 信号质量的影响不大。结果强调了信号质量评估方法和谨慎选择稳健模式对确保可靠的癫痫发作检测的重要性。未来的研究还需要解释癫痫发作检测模型的决策是否基于生理过程而非伪装引起的信号反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epilepsia
Epilepsia 医学-临床神经学
CiteScore
10.90
自引率
10.70%
发文量
319
审稿时长
2-4 weeks
期刊介绍: Epilepsia is the leading, authoritative source for innovative clinical and basic science research for all aspects of epilepsy and seizures. In addition, Epilepsia publishes critical reviews, opinion pieces, and guidelines that foster understanding and aim to improve the diagnosis and treatment of people with seizures and epilepsy.
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