Schima Heinrich, Boehm Herbert, Huber Leopold, Schmallegger Helmut, Vollkron Michael, Hiesmayr Michael, Noisser Robert, Wieselthaler Georg
Department of Cardiothoracic Surgery and LBI of Cardiosurgical Research, University of Vienna, Vienna, Austria.
Artif Organs. 2004 May;28(5):451-7. doi: 10.1111/j.1525-1594.2004.07095.x.
In patients with implanted rotary pumps, the arterial pressure pulsatility is usually far lower than in normal individuals. Depending on the remaining degree of pulsatility, cuff-based systems such as the classical Riva-Rocci-determination of arterial blood pressure and correlated sounds or pressure measurements based on cuffpressure oscillations become inaccurate or even impossible. Therefore, a system was developed which evaluates the flow in the radial artery using an ultrasound wristwatch sensor, and this additional information is used for pressure determination. A computerized data acquisition and cuff-control system based on a PC using Matlab software, a wristwatch ultrasound device, and a compressor-driven pressure cuff was set up. The cuff was controlled for automatic inflation and deflation cycles. Cuff pressure and arterial flow was recorded. Several algorithm strategies were developed, which gave data for systolic blood pressure and heart rate together with a reliability index for data quality. Finally, the new algorithms were implemented in a microcontroller system. Comparisons with invasive measurements showed excellent correlation with systolic blood pressure (mean deltaP -0.3 mm Hg, n = 28). During exercise of rotary pump patients and therefore enhanced pulsatility the difference from manual evaluation was -2.1 mm Hg (n = 18). In conclusion, adaptation of the classical cuff-pressure method with ultrasound evaluation of peripheral flow allows reliable determination of blood pressure in patients with low pulsatility resulting from implanted rotary cardiac assist pumps. By development of a wristwatch sensor and an automatic control system a robust method for daily use could be developed.
对于植入旋转泵的患者,其动脉压搏动性通常远低于正常人。根据剩余的搏动程度,基于袖带的系统,如经典的里瓦-罗西(Riva-Rocci)动脉血压测定法以及基于袖带压力振荡的相关声音或压力测量,会变得不准确甚至无法进行。因此,开发了一种使用腕部超声传感器评估桡动脉血流的系统,并利用这些额外信息来确定血压。建立了一个基于个人电脑(PC)、使用Matlab软件、腕部超声设备和压缩机驱动压力袖带的计算机化数据采集和袖带控制系统。该袖带可自动控制充气和放气循环。记录袖带压力和动脉血流。开发了几种算法策略,可得出收缩压和心率数据以及数据质量的可靠性指标。最后,新算法在微控制器系统中得以实现。与有创测量结果的比较显示,与收缩压具有良好的相关性(平均差值为 -0.3毫米汞柱,n = 28)。在旋转泵患者运动期间,搏动性增强,与手动评估的差异为 -2.1毫米汞柱(n = 18)。总之,通过超声评估外周血流对经典袖带压力法进行调整,能够可靠地测定因植入心脏辅助旋转泵导致搏动性降低患者的血压。通过开发腕部传感器和自动控制系统,可研发出一种适用于日常使用的可靠方法。