Chatten Associates, Inc, West Conshohocken, Pennsylvania, USA.
J Clin Neurophysiol. 2010 Jun;27(3):163-78. doi: 10.1097/WNP.0b013e3181e0a9b6.
The objective of this study is to develop a method for automatic detection of seizures before or immediately after clinical onset using features derived from scalp electroencephalogram. This detection method is patient specific. It uses recurrent neural networks and a variety of input features. For each patient, we trained and optimized the detection algorithm for two cases: (1) during the period immediately preceding seizure onset and (2) during the period immediately after seizure onset. Continuous scalp electroencephalogram recordings (duration 15-62 hours, median 25 hours) from 25 patients, including a total of 86 seizures, were used in this study. Preonset detection was successful in 14 of the 25 patients. For these 14 patients, all of the testing seizures were detected before seizure onset with a median preonset time of 51 seconds and false-positive (FP) rate was 0.06/hour. Postonset detection had 100% sensitivity, 0.023/hour FP rate, and median delay of 4 seconds after onset. The unique results of this study relate to preonset detection. Our results suggest that reliable preonset seizure detection may be achievable for a significant subset of patients with epilepsy without use of invasive electrodes.
本研究旨在开发一种使用头皮脑电图衍生特征自动检测临床发作前或发作后即刻癫痫发作的方法。该检测方法针对特定患者，使用递归神经网络和多种输入特征。对于每个患者，我们都针对两种情况（1）在发作前即刻期间和（2）在发作后即刻期间，对检测算法进行了训练和优化。这项研究使用了 25 名患者的连续头皮脑电图记录（持续时间 15-62 小时，中位数 25 小时），共包含 86 次癫痫发作。在 25 名患者中，有 14 名患者成功实现了发作前检测。对于这 14 名患者，所有测试发作均在发作前被检测到，中位发作前时间为 51 秒，假阳性（FP）率为 0.06/小时。发作后检测的敏感性为 100%，FP 率为 0.023/小时，发作后中位延迟为 4 秒。本研究的独特结果与发作前检测有关。我们的结果表明，对于没有使用侵入性电极的癫痫患者的重要亚组，可能可以实现可靠的发作前癫痫检测。
