TUTORIAL: CLINICAL WAVEFORM ANALYSIS ECG INTERPRETATION

本子项目是利用由NIH/NCRR资助的中心赠款提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是中心的，不一定是研究者的机构。准确解读心电图波形的临床能力是一项至关重要的技能。心电图是评估疑似急性心肌梗死患者和危及生命的心律失常患者的关键初始试验。为了应对医学教育这一关键领域的挑战，我们正在开发一种新的基于网络的多媒体工具，名为心电波maven自我评估程序，供学生和临床医生使用。这个程序可以在http://ecg.bidmc.harvard.edu上免费获得。该教程包括200多个案例和不同难度等级的答案，从入门级到高级。“物理联网”网站提供直接连结至本网站，方便传播。ECG Wave-Maven项目由哈佛教务长教育技术和远程学习创新基金资助（2002-2003年）。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The clinical ability to accurately interpret electrocardiographic (ECG) waveforms is a vital skill. The ECG is the critical initial test in the evaluation of patients with suspected acute myocardial infarction and also in those with life-threatening cardiac arrhythmias. To meet the challenge of this key area of medical education, we are developing a novel web-based multi-media tool entitled ECG Wave-Maven Self Assessment Program for Students and Clinicians. This program is freely available at http//ecg.bidmc.harvard.edu. The tutorial includes over 200 cases and answers of varying grades of difficulty from entry level to highly advanced. The PhysioNet website provides a direct link to this site to facilitate its dissemination. ECG Wave-Maven is supported by a grant (2002-2003) from the Harvard Provost Fund for Innovation in Instructional Technology and Distance Learning.