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PHM applications in medicine and medical implantable device

机译:PHM在医学和医疗植入设备中的应用

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The paper describes the adaptation of PHM models, methods and algorithms to solve prognosis problems for biomechanical systems, in particular, prognosis of Heart Failure, problems of antiarrhythmic electrical therapy optimization of CRT devices (cardiac resynchronization therapy devices). As the basis for making prognosis in biomechanical systems and biomechanical systems with implantable electronics are the multiscale physical models of heart failure and biophysics of membranes of cardiomyocytes. At the macroscopic level, the mathematical model of ECG analyzing, allowing to determine the evolution equations of predictors of heart failure is developed. Computing algorithms of RUL analog as the time parameter, expressed by the number of cardiac cycles required to achieve predicted values of predictors or heart failure boundaries, are defined and constructed. The paper also gives a rigorous justification of the thesis about the effectiveness of PHM methods in problems of prognosis of atrial fibrillations, ventricular arrhythmia, and prognosis of sudden heart death. The results of using the prognostic methods and estimations of time to reach the borders of heart failure are demonstrated using the modified portable PHM ECG recorder in 12 leads. Modified recorder contains built-recognizing automata, supported and retrains on a remote computing PHM cluster. The basic principles of interaction between remote computing a cluster with recognizing automata of ECG recorder are described. At the same time recognizing automata manage computational cores of remote cluster, in its turn the computing cores and logic modules of the cluster are determined automatic operation and the duration of the ECG recording. Thus, the task of optimizing the duration of monitoring is solved. Also, the results of clinical trials of methods and prognosis algorithms are demonstrated.
机译:本文介绍了PHM模型,方法和算法的改编,以解决生物力学系统的预后问题,尤其是心力衰竭的预后,CRT设备(心脏再同步治疗设备)的抗心律不齐电疗法优化问题。作为在生物力学系统和具有植入式电子设备的生物力学系统中进行预后的基础,是心脏衰竭和心肌细胞膜生物物理学的多尺度物理模型。在宏观层面,开发了心电图分析的数学模型,可以确定心力衰竭的预测因子的演化方程。定义和构建作为时间参数的RUL模拟的计算算法,该算法由达到预测变量或心力衰竭边界的预测值所需的心动周期数表示。本文还对PHM方法在房颤预后,室性心律不齐和心源性猝死预后方面的有效性提供了严格的论据。使用改进的便携式PHM ECG记录仪在12根导线中展示了使用预后方法和达到心力衰竭边界所需时间的估计结果。修改后的记录器包含可识别的内置自动机,并在远程计算PHM群集上进行重新训练。描述了远程计算集群与识别ECG记录器自动机之间交互的基本原理。同时,认识到自动机管理远程集群的计算核心,进而确定集群的计算核心和逻辑模块的自动操作以及ECG记录的持续时间。因此,解决了优化监视持续时间的任务。此外,还展示了方法和预后算法的临床试验结果。

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