The electroencephalogram(EEG) is one of the most important bio-electric signals of the human. Now many people pay much attention to the therapy effects through monitoring the EEG.
脑电信号（EEG）是人体重要的生物电信号，目前关于脑电信号监测在某些疾病患者治疗过程中的作用得到医疗机构越来越广泛的重视。
Objective to assess the diagnostic value of long time EEG monitoring on epilepsy following supratentorial surgery.
目的观察长程脑电监测对幕上开颅手术后癫痫的诊断价值。
The EEG monitor described in this paper is concerned with the monitoring of the trend of frequency in EEG with a new method termed color density spectral array (CDSA).
本文介绍的监护仪用彩色密度谱阵列图来监测脑电频率的变化趋势。
Objective This study is to determine the effect of long time EEG (AEEG) monitoring on localization and lateralization of epileptiform focus before surgical therapy.
目的本研究为了确定长程脑电监测在癫痫外科术前定位、定侧作用。
Objective: To expound further effect of EEG monitoring in surgical treatment of epilepsy.
目的：进一步说明脑电监测在外科治疗癫痫中的作用。
Objective to investigate the value of ambulatory electroencephalogram (EEG) monitoring in early diagnosis of the massive cerebral infarction.
目的探讨动态脑电图(EEG)监护对大面积脑梗死早期诊断的价值。
This paper introduces a kind of EEG Telemetry and Tele-monitoring system.
介绍了一种脑电实时遥测与监护系统的研制。
Main content:To set up real time anestheisa monitoring system with combination of the relationship of the Micro-dialysis's results and the EEG non-linear's results from primitive EEG signal.
主要内容：对原始脑电信息进行非线性分析，将微透析结果与脑电非线性分析结果相结合，建立脑电非线性实时监测分析系统。
Conclusion It is suggested that EEG is very sensitive in monitoring the changes of cerebral function and pathology and can be objective for judging the prognosis of hemi…
结论EEG是监测脑功能变化及病理变化的敏感指标，可作为脑内病变转归客观依据，而头颅CT检查对偏瘫型脑炎病理解剖形态显示则是重要辅助诊断手段。
The technology has reached the top level of the world, so our products are extensively used in the area of physiological monitoring of ECG and EEG.
国家星火计划项目之一，其技术已达国际顶尖水平，产品广泛应用于医院心脑电等生理监护领域。
Methods: Multiple monitoring of ambulatory EEG of 107 comatose patients were processed, and relationship between EEG changes and the clinical outcome was analyzed.
方法：对107例昏迷患者采用多次动态脑电图监测，分析脑电图改变与临床结局的关系。
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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