பயோ இன்ஜினியரிங் & பயோமெடிக்கல் சயின்ஸ் ஜர்னல்

Nowadays, the importance of artificial intelligence design is in the priorities of research centers, companies and researchers in order to prevent human error, increase accuracy in diagnosis, rapidly action and also industrial automation. The role of artificial intelligence on the advancement of technology, industry, etc. Nobody is hidden from anyone. Satisfactory performance of all organs of the body depends on their capacity to consume oxygen and excrete carbon dioxide. Although there are different types of lung diseases, each of these diseases has its own characteristics and causes unpleasant changes in the branches of the lungs. The diagnosis of lung disease as the fourth leading cause of death before the advent of COVID 19 has long been important for humans. Accurate detection of abnormalities in medical images (such as X-rays and CT scans) is a challenge due to blurred images at the border, different sizes, variable shapes, and uneven density. In this study, by converting images obtained from medical imaging device, CT scan and converting it into cloud points, through three-dimensional modeling and analysis, by comparing the changes of physical factors between healthy people and lung patients, factors such as: Force, air flow, pressure, resistance, as well as the amount of changes in CO2 in the inhale and exhale, the type of disease, and the severity of lung disease are determined. Clinical studies have been performed on 480 CT scan files prepared from lung patients for simulation and analysis to achieve better results. Finally, it provides physicians with information about the type and severity of the disease, the latest treatments suggested by other physicians, available medications, and approved protocols online in order to expedite the better treatment process.

This work presents the design of a hydrodynamic performance bench (HPB) of Ventricular Assist Devices (VADs) for evaluations of developed prototypes. VADs are used for the treatment of patients with Congestive Heart Failure (CHF), either as a bridge to recovery, for transplantation or as destination therapy. HPB is required for the performance evaluation of VADs that are under development in Brazil. The performance evaluation of a VAD takes into account the rotation speed [rpm], flow rate [l/min], pressure [mmHg] and power [W]. The project consists in choosing an actuator and transducers from HPB, and developing the mechanical components, supervisory control and modules. The HPB mechanical components were designed in SolidWorks^® (Dassault Systemes, Vélizy-Villacoublay, France) following rapid prototyping and built by additive manufacturing. The HPB supervisory program was developed in graphic language through the Labview^® program (2015, National Instruments, Austin, USA) and implemented in a development and application platform with data acquisition system (PXIe-8840, National Instruments, Austin, USA). The manipulated variable of the supervisory system is the motor speed [rpm] acting via an Escon 50/4 EC-S power controller (Maxon Motor, Sachseln, Switzerland) on the BLDC EC45 N339281 motor (Maxon Motor, Sachseln, Switzerland). The controlled variable is the “VAD flow” [l/min] provided by an HT-110 flow transducer. A particle image velocimetry (PIV) module was developed for flow analysis. All process data are stored in spreadsheets for later consultation. HPB was able to assist in a satisfactory way in the analysis of the developed VADs prototypes, demonstrating the technical success of the project.