Intelligent embedded system for physiological control of ventricular assist devices in health 4.0 Background

Abstract

The use of Left Ventricular Assist Devices (LVADs) has proven to be an effective treatment option for Congestive Heart Failure (CHF) patients who are not eligible for heart transplantation. These devices can serve as a bridge to heart transplantation (BTT) or as destination therapy (DT). While LVADs operate at a constant flow, this can affect the patient's quality of life and survival rate. To address this issue, Health 4.0 (H4) has developed new technological resources to personalize control systems and integrate medical devices into treatment. In this effort, a Physiological Control of LVAD (PC-LVAD) system was implemented within the H4 platform, using an Intelligent Embedded System (IES). The IES was developed using the MyRIO® development platform and tools such as LabVIEW® FPGA and RT, Quartus II® EDA, and MATLAB®. To evaluate its performance, preliminary criteria were assessed in experimental tests, analyzing the Internet of Things (IoT) characterization and applying best practices for information security. The results of the experimental tests showed that the IES could store and transmitting data in real-time to a graphical interface, and the data were found to be consistent with external measuring instruments.