Smartphone-based interventions for the diagnosis of epileptic seizures: A systematic review and meta-analysis.

IF 6.6 1区医学 Q1 CLINICAL NEUROLOGY

Epilepsia Pub Date : 2025-07-25 DOI:10.1111/epi.18483

Carlos Alva-Diaz, Wendy Nieto-Gutierrez, Ethel Rodriguez-López, Carlos Quispe-Vicuña, María E Cáceres-Távara, Luz M Moyano, Kevin Pacheco-Barrios, Jorge G Burneo

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引用次数: 0

Abstract

Objective: The main objective of this study was to assess the utility of smartphone-based interventions for epilepsy diagnosis.

Methods: A systematic review was performed to evaluate the use of smartphone devices to diagnose epileptic seizures compared with encephalogram (EEG), using the MEDLINE, Scopus, Web of Science, and Embase databases. We plotted pooled sensitivity and specificity estimates on forest plots and on receiver operating characteristics curves. We evaluated evidence certainty using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) methodology. Also, we constructed a Fagan nomogram to guide clinical decision-making.

Results: We identified 10 studies that evaluated different smartphone-based interventions to diagnose epileptic seizures, including a mobile app of a clinical survey, smartphone-based studies assessing EEG recording, heart rate variability recording and classifier, and video of the epileptic seizure using a smartphone. However, we only performed a quantitative analysis for the smartphone videos and Smartphone Brain Scanner-2. We found that smartphone videos had sensitivity of 77% (95% confidence interval [CI] = 60%-88%) and specificity of 91% (95% CI = 88%-93%) to diagnostic epileptic seizure, with an area under the curve of .91. On the other hand, Smartphone Brain Scanner-2 had sensitivity of 44% (95% CI = 34%-55%) and specificity of 94% (95% CI = 89%-96%). The Epilepsy Diagnosis Aid app had good sensitivity of 76% (95% CI = 66%-84%) and specificity 100% (95% CI = .83%-1.00%); in addition, the RRBLE6:9123 device had sensitivity of 86%.

Significance: Our systematic review and meta-analysis demonstrate high specificity with the use of smartphone videos compared with studies assessing EEG. Smartphone-based interventions show promise for diagnosing epilepsy; however, further research is needed to assess the utility of other tools like symptom survey apps and heart rate variability recorders.

查看原文本刊更多论文

基于智能手机的癫痫发作诊断干预：系统回顾和荟萃分析。

目的：本研究的主要目的是评估基于智能手机的干预对癫痫诊断的效用。方法：采用MEDLINE、Scopus、Web of Science和Embase数据库，对智能手机设备诊断癫痫发作与脑电图（EEG）进行系统评价。我们绘制了森林图和接收者工作特征曲线的综合敏感性和特异性估计值。我们使用GRADE（建议评估、发展和评价分级）方法评估证据确定性。同时，我们构建了Fagan nomogram来指导临床决策。结果：我们确定了10项研究，评估了不同的基于智能手机的干预措施来诊断癫痫发作，包括临床调查的移动应用程序，基于智能手机的研究评估脑电图记录，心率变异性记录和分类器，以及使用智能手机的癫痫发作视频。然而，我们只对智能手机视频和智能手机大脑扫描仪-2进行了定量分析。我们发现智能手机视频诊断癫痫发作的敏感性为77%(95%置信区间[CI] = 60%-88%)，特异性为91% (95% CI = 88%-93%)，曲线下面积为0.91。另一方面，智能手机脑扫描仪-2的灵敏度为44% (95% CI = 34%-55%)，特异性为94% （95% CI = 89%-96%）。癫痫诊断辅助应用程序的灵敏度为76% (95% CI = 66%-84%)，特异性为100% (95% CI = 0.83% -1.00%)；此外，RRBLE6:9123装置的灵敏度为86%。意义：我们的系统回顾和荟萃分析表明，与评估脑电图的研究相比，使用智能手机视频具有很高的特异性。基于智能手机的干预措施有望诊断癫痫；然而，还需要进一步的研究来评估其他工具的效用，比如症状调查应用程序和心率变异性记录器。

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 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.