Lanning C, Shandas R
Cardiovascular Device Development Laboratory, Division of Cardiology, The Children's Hospital, Denver, USA.
Med Biol Eng Comput. 2003 Jul;41(4):416-24. doi: 10.1007/BF02348084.
The development of a 'smart' heart valve prosthesis, with the intrinsic ability to monitor thrombus formation, mechanical failure and local haemodynamics and to relay this information externally, would be of significant help to clinicians. The first step towards such a valve is development of the sensors and examination of whether sensor output provides predictive information on function. Custom-made piezo-electric sensors were mounted onto the housing of mechanical valves with various layers of simulated thrombus and bioprosthetic valves with normal and stiffened leaflets. Sensor output was examined using joint time-frequency analysis. Sensors were able to detect leaflet opening and closing with high fidelity for all types of valve. The frequency content of the closing sounds for the mechanical valves contained several peaks between 100 Hz and 10 kHz, whereas closing sounds for the bioprosthetic valve contained energy in a lower frequency range (<1 kHz). A frequency peak of 47 +/- 15 Hz was seen for the normal bioprosthetic valve; this peak increased to 115 +/- 12 Hz for the valve with visibly stiffened leaflets. Total low-frequency (80-3500 Hz) energy content diminished predictably with increasing levels of thrombus for the mechanical valves. Lastly, closing sound intensity correlated well with closing pressure dynamics (dp/dt) (y = 190x - 443; r = 0.90), indicating that the sensors also provide information on haemodynamics. These studies provide initial evidence regarding the use of embedded sensors to detect prosthetic valve function. Efforts to encapsulate these sensors with telemetry into a custom valve are currently underway.
开发一种“智能”心脏瓣膜假体,使其具有监测血栓形成、机械故障和局部血流动力学并向外传递这些信息的内在能力,将对临床医生有极大帮助。迈向这种瓣膜的第一步是开发传感器,并检查传感器输出是否能提供有关功能的预测信息。将定制的压电传感器安装在带有不同模拟血栓层的机械瓣膜外壳以及带有正常和硬化瓣叶的生物瓣膜上。使用联合时频分析来检查传感器输出。对于所有类型的瓣膜,传感器都能够高保真地检测瓣叶的打开和关闭。机械瓣膜关闭声音的频率成分在100赫兹至10千赫兹之间有几个峰值,而生物瓣膜的关闭声音在较低频率范围(<1千赫兹)内包含能量。正常生物瓣膜可见一个47±15赫兹的频率峰值;对于瓣叶明显硬化的瓣膜,这个峰值增加到115±12赫兹。对于机械瓣膜,随着血栓水平的增加,总低频(80 - 3500赫兹)能量含量可预测地减少。最后,关闭声音强度与关闭压力动态(dp/dt)密切相关(y = 190x - 443;r = 0.90),这表明传感器也能提供有关血流动力学的信息。这些研究为使用嵌入式传感器检测人工瓣膜功能提供了初步证据。目前正在努力将这些带有遥测功能的传感器封装到定制瓣膜中。