Sugiki Takashi, Sugiki Hiroshi, Shiiya Norihiko, Matsui Yoshiro, Sugiki Kenji
Department of Cardiovascular Surgery, Hokkaido University Postgraduate School of Medicine, North-14, West-4, Kita-Ku, Sapporo, Japan.
J Artif Organs. 2009;12(4):232-41. doi: 10.1007/s10047-009-0476-1. Epub 2009 Dec 25.
The wavelet analytical system developed in our institute can detect a malfunctioning bileaflet valve by analyzing the split interval (SI) of bileaflet valve sound (BLVS) caused by asynchronous closure of both leaflets. However, this system is limited in its clinical application because of the complications of both valve sound recording and analytical protocols. This study established a new system that improved upon these limitations, and evaluated its clinical efficiency and the possibility of intercellular phone remote transmission of BLVS (ICTB). Fifty-one valves in 36 patients with St. Jude Medical bileaflet valve replacement were examined by fluoroscopy, 90 BLVS files (42 mitral and 48 aortic valve files) were recorded, and 1720 individual BLVS recordings in these files were analyzed with the new system. The new system consists of a cellular phone for BLVS recording and an automated algorithm for analysis with the Morlet continuous wavelet transform. ICTB was also investigated clinically. The new system showed great improvement over the original system by simplifying BLVS recording and reducing analysis time by approximately 65%. This system detected two malfunctioning valves with coefficients of variation (CV) for SI below 0.112, a previously proposed criterion for malfunction. ICTB also proved to be a useful BLVS recording method for determining SI. The new system described in this study could eliminate the factors limiting clinical application of the old system, and ICTB was found to be a clinically applicable BLVS recording method.
我们研究所开发的小波分析系统可以通过分析双叶瓣声音(BLVS)的分裂间隔(SI)来检测双叶瓣功能异常,该分裂间隔由两个瓣叶异步关闭引起。然而,由于瓣膜声音记录和分析协议的复杂性,该系统在临床应用中受到限制。本研究建立了一个改进这些局限性的新系统,并评估了其临床效率以及双叶瓣声音(BLVS)的手机远程传输(ICTB)可能性。对36例植入圣犹达医疗双叶瓣的患者中的51个瓣膜进行了荧光透视检查,记录了90个BLVS文件(42个二尖瓣文件和48个主动脉瓣文件),并使用新系统分析了这些文件中的1720个单独的BLVS记录。新系统由用于记录BLVS的手机和使用Morlet连续小波变换的自动分析算法组成。还对ICTB进行了临床研究。新系统通过简化BLVS记录并将分析时间减少约65%,相比原系统有了很大改进。该系统检测出两个功能异常的瓣膜,其SI的变异系数(CV)低于0.112,这是先前提出的功能异常标准。ICTB也被证明是一种用于确定SI的有用的BLVS记录方法。本研究中描述的新系统可以消除限制旧系统临床应用的因素,并且发现ICTB是一种临床适用的BLVS记录方法。