Automated real-time detection of tonic-clonic seizures using a wearable EMG device.
Automated real-time detection of tonic-clonic seizures using a wearable EMG device.
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DOI：
10.1212/wnl.0000000000004893
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发表时间：
2018-01-30
期刊：
影响因子：
9.9
通讯作者：
Wolf P
中科院分区：
文献类型：
--
作者：
Beniczky S;Conradsen I;Henning O;Fabricius M;Wolf P
确定使用可穿戴表面EMG设备自动检测全身性强直阵挛发作（GTCS）的准确性。我们前瞻性地测试了使用可穿戴表面EMG设备的实时癫痫发作检测的技术性能和诊断准确性。预先规定了癫痫发作检测算法和临界值。在3个中心共招募了71例疑似GTCS的患者，进行了长期视频EEG监测。癫痫发作检测是实时和完全自动化的。参考标准是由经过培训的专家对视频EEG记录进行评价，这些专家对设备数据不知情。阅读器械的癫痫发作日志对所有其他数据均设盲。每例患者的平均记录时间为53.18小时。总记录时间为3735.5小时，器械故障时间为193小时（占器械开启总时间的4.9%）。未发生不良事件。可穿戴设备的灵敏度为93.8%（32个GTCS中有30个被检测到）。中位癫痫发作检测潜伏期为9秒（范围-4至48秒）。误报率为0.67/d。可穿戴式肌电设备的性能满足患者的要求：其检测GTCS的灵敏度超过90%，检测延迟在30秒内。这项研究提供了II类证据，证明对于有GTCS病史的人，可穿戴EMG设备可以准确检测GTCS（灵敏度93.8%，误报率0.67/d）。
To determine the accuracy of automated detection of generalized tonic-clonic seizures (GTCS) using a wearable surface EMG device. We prospectively tested the technical performance and diagnostic accuracy of real-time seizure detection using a wearable surface EMG device. The seizure detection algorithm and the cutoff values were prespecified. A total of 71 patients, referred to long-term video-EEG monitoring, on suspicion of GTCS, were recruited in 3 centers. Seizure detection was real-time and fully automated. The reference standard was the evaluation of video-EEG recordings by trained experts, who were blinded to data from the device. Reading the seizure logs from the device was done blinded to all other data. The mean recording time per patient was 53.18 hours. Total recording time was 3735.5 hours, and device deficiency time was 193 hours (4.9% of the total time the device was turned on). No adverse events occurred. The sensitivity of the wearable device was 93.8% (30 out of 32 GTCS were detected). Median seizure detection latency was 9 seconds (range −4 to 48 seconds). False alarm rate was 0.67/d. The performance of the wearable EMG device fulfilled the requirements of patients: it detected GTCS with a sensitivity exceeding 90% and detection latency within 30 seconds. This study provides Class II evidence that for people with a history of GTCS, a wearable EMG device accurately detects GTCS (sensitivity 93.8%, false alarm rate 0.67/d).