| 1. | Objective : to analyses the abnormal electrocardiogram ( ecg ) in health persons
摘要目的：探讨健康人异常心电图的预后意义。 |
| 2. | This paper is carried out on the basis of the telemedicine electrocardiogram ( ecg ) monitoring system
本文是就远程心电仪系统的开发而展开的。 |
| 3. | The electrocardiogram ( ecg ) is an important tool for checking abnormal information about the heart
心电信号蕴涵了丰富的反映心脏生理和病理状态的信息。 |
| 4. | Assess client ' s circulatory status , including apical pulse , electrocardiogram ( ecg ) report , and peripheral pulses
评估病人呼吸系统状况，包括呼吸特征与速度，氧饱和度，平卧呼吸能力及胸片。 |
| 5. | Electrocardiogram ( ecg ) can provide the most intuitionistic patient ' s heart activity for doctors . the collection and analysis of ecg is a significant work
心电图能为医生提供最直观的患者心脏的活动情况，因此心电图的提取和分析是十分有意义的工作。 |
| 6. | Some of the electrocardiogram ( ecg ) diagrams in the course notes were produced using the resources of physionet , especially the mit - bih arryhthmia database directory
本课程笔记中的一部分心电图图表是使用了的生理网的资源而产生的，特别是mit - bih心律失常数据库目录。 |
| 7. | The body surface electrocardiogram ( ecg ) is an important cardiac diagnostic tool . but because the relationship between the body surface ecg and the work state of heart can not be understood completely , there is much limitation when the ecg is used for clinical diagnosis
体表心电图是临床诊断、治疗的重要工具,但是,由于人们不能全面了解体表心电信息与心脏工作状态之间的对应关系,使得心电图在心脏疾病的临床诊断中受到很大的限制。 |
| 8. | Electrocardiogram ( ecg ) is one of the necessary instruments used for clinic heart disease diagnosing . researching and developing ecg auto - recognizing system can avoid most defects brought by reading ecg manually . it can also improve the accurate ratio of heart disease diagnosing
心电图( ecg )是心脏病临床诊断不可缺少的常规检查手段之一，研制ecg自动识别系统能够有效地避免由人工判读心电图造成的种种弊端，提高心脏病诊断的正确率，它具有重要的社会意义和应用价值。 |
| 9. | But , the eeg signal that we can acquired is very weak and is badly contaminated by strong background noise , such as electrooculogram ( eog ) , electrocardiogram ( ecg ) , and line noise ( 50hz or 60 hz power frequency interference ) , etc . eeg is a typical non - stationary random signal with a certain extent of non - gaussian and non - linear character
但是我们能够获得的脑电信号一般非常微弱、并伴有很强的背景噪声，是一类典型的非平稳的随机信号，且存在一定的非高斯性和非线性。传统的分析处理方法一般将脑电信号近似认为是线性的准平稳的高斯分布随机信号，这使得分析结果往往不能令人满意、实用性差。 |
| 10. | A new release of an integrated cardiovascular information system now integrates exam results from all major cardiology subspecialties ? interventional cardiology , cardiovascular ultrasound , electrocardiogram ( ecg ) , nuclear cardiology , cardiac computed tomography ( ct ) , cardiac magnetic resonance imaging ( mri ) , and electrophysiology ( ep )
一种刚投放的综合心血管信息系统，现在整合所有心血管专业的检查结果，包括心脏介入、心血管超声、心电图( ecg ) 、核放射心脏病学、计算机断层扫描( ct )心脏核磁共振( mri )和电生理( ep )学。 |
