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8月25日生物医学工程系——Case Studies in ECG Databases and Their Applications
2010.08.24

讲座信息

8月25日生物医学工程系——Case Studies in ECG Databases and Their Applications


讲座题目:Case Studies in ECG Databases and Their Applications

报告人:Shen Luo

时 间:8月25日(周三)下午2:15-3:00
地 点:廖凯原楼2-102
主持人任秋实(教授)

报告内容摘要
      An ECG database is the key for research, development, and evaluation of methodology, criteria, computer detection/analysis, etc.
      In this presentation, the two most famous publicly available databases, the MIT-BIH arrhythmia database and the CSE resting ECG database, will be introduced first, including a study by using the CSE database for measurement method evaluation. Next, building a new database and studying normal limits of QT intervals (criteria development) will be briefly reviewed.  Finally, developing a new database to improve computer pacemaker detection will be presented at length. Here is the full abstract of this case:
      Pacemaker technology has had significant advancements and pacemaker procedures have increased over the last decade.  Automatic pacing stimulus detection in an ECG device is undertaken in an important processing module that provides stimulus locations for further computer analysis and clinician review. Conventional pacemaker stimulus detection historically has low sensitivity. If the detection fails, the following diagnosis for the ECG rhythm and morphology will be useless. To focus on approaches in improving pacer stimulus identification, we first developed a high-speed body surface pacemaker database. With this special database, we investigated pacemaker stimulus amplitudes, durations, and morphologies, including a comparison with current guidelines. Results show that the current guidelines require an update. After we developed digital pacemaker detection algorithms, we evaluated performance of pacemaker detection as sampling rate changed. We observed that a high-speed detection approach can significantly increase the accuracy. Compared to electrocardiographic characteristic criteria (such as QRS axis or bundle branch block), the high-speed method can, in particular, identify bi-ventricular pacemakers with high precision even for a default setting of zero V-V delay in the pacemaker device.

报告人简介
      Shen Luo, Ph.D., is currently Corporate Technology Director of Cardiac Science. He was the Director of Product Development of Spacelabs Medical.
      Dr. Luo has been an active member of ISCE (the International Society for Computerized Electrocardiology) and a senior member of IEEE. He was also a voting member of AAMI (the Association for the Advancement of Medical Instrumentation) ECG Working Committee. He is contributing author for American National Standards (ECG). He will be co-chair of the Computing in Cardiology 2010 conference.
      His current research interests include medical instrumentation (diagnosis, monitoring, defibrillation, and management), biomedical signal processing, database, algorithm, and clinical engineering.