R. W. M. KEUNEN*{, R. HOOGENBOEZEM{, R. WIJNANDS{, A. C. M. VAN DEN HENGEL{and R. G. A. ACKERSTAFFx{Department of Neurology and Clinical Neurophysiology, Haga Teaching Hospitals (location Leyenburg),
Leyweg 275 2545 CH, The Hague, The Netherlands
{Department of Electro Engineering of the Technical High School of The Hague (HHS, sector techniek,
afdeling electro-techniek), The Netherlands
xDepartment of Neurology and Clinical Neurophysiology, Antonius Hospital Nieuwegein/Utrecht,
The Netherlands
A new embolus detection system (EDS) is presented, built with the intention of detecting ongoing cerebral embolization in patients at risk of transient ischaemic attacks or stroke.It is based on the analysis of the audio-Doppler signal of a transcranial Doppler machine.The algorithm of the EDS estimates the intensity, duration and zero-crossing dynamics of the audio signal. The EDS has a multi-layer neural network which classifies events into micro-emboli signals (MES) or artefacts. The decision-making component of the software has been validated against human experts. Data from patients in the postoperative phase of carotid surgery were used for the validation process. The results showed agreement in MES and artefact classification of493%. Apart from a monitoring display, the monitoring system includes a verification unit that allows the user to listen and to look at all data of individual MES and artefacts. Moreover, the system allows the user to record, store and re-calculate all data files. Data are stored using European Data Format, which allows data transportation over the Internet. The EDS may have a potential in stroke risk stratification, evaluating the effect of novel antithrombotic therapies, and in peri-operative and remote monitoring of carotid endarterectomy.
提出了一种新的栓塞检测系统（EDS），其目的是对经颅多普勒机器的音频多普勒信号进行分析，以检测处于短暂性脑缺血发作或中风风险的患者正在进行的脑栓塞。 EDS算法估计音频信号的强度，持续时间和过零动态。 EDS具有多层神经网络，可将事件分类为微栓塞信号（MES）或伪影。该软件的决策组件已针对人类专家进行了验证。颈动脉手术术后阶段的患者数据用于验证过程。结果表明，在MES和伪造物分类上的一致性为493％。除了监控显示之外，监控系统还包括一个验证单元，该验证单元使用户能够收听并查看各个MES和人工制品的所有数据。此外，该系统允许用户记录，存储和重新计算所有数据文件。数据使用欧洲数据格式存储，从而可以通过Internet进行数据传输。 EDS可能在卒中风险分层，评估新型抗血栓形成疗法的效果以及围手术期和远程监测颈动脉内膜切除术方面具有潜力。(译文来自GOOGLE)
