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Systematic analysis and comparison of commercial seizure‐detection software
Epilepsia ( IF 5.6 ) Pub Date : 2021-01-19 , DOI: 10.1111/epi.16812
Johannes Koren 1, 2 , Sebastian Hafner 2 , Moritz Feigl 3, 4 , Christoph Baumgartner 1, 2, 5
Affiliation  

OBJECTIVE To determine if three different commercially available seizure-detection software packages (Besa 2.0, Encevis 1.7, and Persyst 13) accurately detect seizures with high sensitivity, high specificity, and short detection delay in epilepsy patients undergoing long-term video-electroencephalography (EEG) monitoring (VEM). METHODS Comparison of sensitivity (detection rate), specificity (false alarm rate), and detection delay of three commercially available seizure-detection software packages in 81 randomly selected patients with epilepsy undergoing long-term VEM. RESULTS Detection rates on a per-patient basis were not significantly different between Besa (mean 67.6%, range 0-100%), Encevis (77.8%, 0-100%) and Persyst (81%, 0-100%; P = .059). False alarm rate (per hour) was significantly different between Besa (mean 0.7/h, range 0.01-6.2/h), Encevis (0.2/h, 0.01-0.5/h), and Persyst (0.9/h, 0.04-6.5/h; P < .001). Detection delay was significantly different between Besa (mean 30 s, range 0-431 s), Encevis (25 s, 2-163 s), and Persyst (20 s, 0-167 s; P = .007). Kappa statistics showed moderate to substantial agreement between the reference standard and each seizure-detection software (Besa: 0.47, 95% confidence interval [CI] 0.36-0.59; Encevis: 0.59, 95% CI 0.47-0.7; Persyst: 0.63, 95% CI 0.51-0.74). SIGNIFICANCE Three commercially available seizure-detection software packages showed similar, reasonable sensitivities on the same data set, but differed in false alarm rates and detection delay. Persyst 13 showed the highest detection rate and false alarm rate with the shortest detection delay, whereas Encevis 1.7 had a slightly lower sensitivity, the lowest false alarm rate, and longer detection delay.

中文翻译:

商业癫痫发作检测软件的系统分析和比较

目的 确定三种不同的市售癫痫发作检测软件包(Besa 2.0、Encevis 1.7 和 Persyst 13)是否能够以高灵敏度、高特异性和短检测延迟准确检测接受长期视频脑电图 (EEG) 的癫痫患者的癫痫发作) 监控 (VEM)。方法 在 81 名随机选择的接受长期 VEM 的癫痫患者中比较三种市售癫痫发作检测软件包的敏感性(检出率)、特异性(误报率)和检测延迟。结果 Besa(平均 67.6%,范围 0-100%)、Encevis(77.8%,0-100%)和 Persyst(81%,0-100%;P = .059)。Besa 之间的误报率(每小时)有显着差异(平均 0.7/h,范围 0.01-6.2/h),Encevis(0.2/小时,0.01-0.5/小时)和 Persyst(0.9/小时,0.04-6.5/小时;P < .001)。Besa(平均 30 秒,范围 0-431 秒)、Encevis(25 秒,2-163 秒)和 Persyst(20 秒,0-167 秒;P = .007)之间的检测延迟存在显着差异。Kappa 统计数据显示参考标准与每个癫痫发作检测软件之间存在中度到实质性的一致性(Besa:0.47,95% 置信区间 [CI] 0.36-0.59;Encevis:0.59,95% CI 0.47-0.7;Persyst:0.63,95%置信区间 0.51-0.74)。意义 三种市售的癫痫发作检测软件包对同一数据集显示出相似、合理的敏感性,但在误报率和检测延迟方面有所不同。Persyst 13 的检测率和误报率最高,检测延迟最短,而 Encevis 1.7 的灵敏度略低,误报率最低,
更新日期:2021-01-19
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