Sugai Telma Keiko, Yoshizawa Makoto, Abe Makoto, Shimizu Kazuo, Inagaki Masashi, Sugimachi Masaru, Sunagawa Kenji
Graduate School of Biomedical Engineering, Tohoku University, Aoba-ku, Sendai 980-8579, Japan.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2498-501. doi: 10.1109/IEMBS.2009.5335157.
Although implantable cardioverter-defibrillators have improved significantly in the past decades, the algorithms used in the identification of life-threatening arrhythmias are still not accurate enough. Conventional methods commonly misclassify tachycardias, sometimes initiating an unnecessary and uncomfortable treatment. In this paper, we proposed a new method for the identification of ventricular tachycardias and fibrillations based on the comparison of simultaneous electro-grams. Our method could successfully separate supraventricular tachycardias and normal sinus rhythm, which do not require any treatment, from ventricular tachycardias and fibrillation, which are life-threatening arrhythmias and must be terminated, with a sensitivity of 93.0% and a specificity of 92.7% from the comparison of ventricular electrograms. In future studies, the classification using electrograms from the right heart must be improved.
尽管植入式心脏复律除颤器在过去几十年中有了显著改进,但用于识别危及生命的心律失常的算法仍不够准确。传统方法常常对心动过速进行错误分类,有时会引发不必要且令人不适的治疗。在本文中,我们提出了一种基于同步心电图比较来识别室性心动过速和颤动的新方法。我们的方法能够成功地将不需要任何治疗的室上性心动过速和正常窦性心律与危及生命且必须终止的室性心动过速和颤动区分开来,通过心室心电图比较,其灵敏度为93.0%,特异性为92.7%。在未来的研究中,使用右心心电图进行的分类必须得到改进。