Results:Of the 17 patients, 15 cases displayed records of electrocerebral silence in the first EEG detection;
结果：本组17例患者中15例在首次脑电图检查时则表现为脑电静息；
This data enabled the scientists to analyse the EEG information to determine which parts of the brain are key to braking. They improved the detection system accordingly.
通过脑电图仪数据分析，科学家们来判断大脑的哪一部分控制着刹车信号，相应的以此来改进这个系统。
The automatic spike detection in EEG is significant in clinical application.
癫痫特征的自动检测在临床应用上具有重要的意义。
EEG has been widely used in diagnosis of brain disease and neural system disease. Intelligent detection and diagnosis of EEG have good use in clinical treatment.
脑电图已广泛应用于脑部疾病和神经系统疾病诊断中，脑电图的检测和智能诊断在临床上很有意义。
The results show the bispectrum of EEG are very different at different times, so bispectrum can be used for the detection of driving fatigue.
分析结果显示，驾驶不同时刻的脑电双谱结构有很大差异，表明双谱分析方法有望成为驾驶疲劳检测的一个指标。
The detection of the quadratic phase coupling has been widely applied in various field such as EEG data analysis, oceanography, sonar and medical biology.
二次相位耦合的识别在EEG数据分析，海洋地理、声纳和生物医学等领域有着广泛的应用。
Conclusions: EEG test detection can not only supply theory evidence for clinical salvage and resuscitation, but also provide the assessment of clinical brain death with objective index.
结论：脑电图检查不但为临床抢救复苏提供理论根据，也为临床脑死亡的判定提供了客观指标。
The automatic detection of EEG spikes is important both in diagnosis and alleviating the hart work of doctors.
脑电癫痫特征波自动提取对于患者的诊断，以及减轻医生的繁重劳动力都具有重要意义。
Ar model based distance measurements with EEG signals are well reliable for the injury detection of the central nervous system.
基于AR模型的EEG信号距离测度方法可以较好地表征中枢神经系统损伤的情况。
As a result, automatic detection and classification of seizure is essential in long term EEG monitoring.
因此，对脑电信号的自动分类和识别就显得尤其重要了。
As a result, automatic detection and classification of seizure is essential in long term EEG monitoring.
因此，对脑电信号的自动分类和识别就显得尤其重要了。
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