Prototype Advancement of the Robotic IV Pole: Preliminary Simulation

Abstract

Abstract-The Intravenous (IV) poles are medical and healthcare facilities utilized to deliver medications to patients over a scheduled time. Existing Intravenous poles are either commercial poles, that are found in the market, or robotic poles, that are still under research. Despite commercial poles hold and deliver medications, they restricted the movement of patients, consumed the nurses' time and were costly. The robotic poles in research were able to overcome the movement restrictions however, they needed external accessories to maneuver the pole and they carried light weights merely. The aim of our project is to develop a new prototype for solving the shortcomings of both commercial and robotic poles in order to enhance the healthcare service provided to patients. In this paper we provide the simulation of our automated robotic IV pole to offer new technological features. Several cost-effective build up materials were carefully chosen in this prototype. The first step was the simulation of the prototype of the new robotic pole including its different parts and components, using AutoCAD. Simulation results showed five contributions separated according to the function and/or merged according to the prototype. The preliminary results also showed the best qualitative way to fit all the specifications in the robotic system, such as the overall simulated shape, sensors and connections in order to provide the proper functionality of the system. The experimental development will be consider in our future work.

BMIVPOT, a Fully Automated Version of the Intravenous Pole: Simulation, Design, and Evaluation

“…A large surface was required to realize the electronics. Therefore, according to the empirical inference [ 31 ], the octagonal shape, having a side of a =27.1 cm and an area of was the best design. This shape solved the trade-off between conserving a large surface and reducing the weight.…”

“…This shape solved the trade-off between conserving a large surface and reducing the weight. The BMIVPOT's stand was planned to have a square shape in order to place the required objects on it as shown in the studies of Hajj-Moussa et al and Kozah et al [ 31 – 33 ].…”

“…This resolution was used for the identification of unknown faces in forensic applications. Calculate the FOV of the camera according to the study of Hajj-Moussa et al [ 31 ]. Calculate the maximum distance to get the FOV through the right triangle shown in Figure 5 .…”

“… Concerning the vertical FOV, repeat the same calculation by setting FOV at 5 m, the radius at 5.87, and the distance at 6 m, based on the lens's vertical angle. Thereby, the maximum distance that the 8 MP camera can identify an object was at 6.67 m along the horizontal direction and 5.87 m along the vertical direction, with 492 pixels/m, which was sufficient for the TAG identification [ 31 ]. Process using the Raspberry Pi 3 the captured images in order to identify the patient's position, send the coordinates of the patient to the Arduino UNO, and trigger the IV pole to follow the patient.…”

“…Concerning the vertical FOV, repeat the same calculation by setting FOV at 5 m, the radius at 5.87, and the distance at 6 m, based on the lens's vertical angle. Thereby, the maximum distance that the 8 MP camera can identify an object was at 6.67 m along the horizontal direction and 5.87 m along the vertical direction, with 492 pixels/m, which was sufficient for the TAG identification [ 31 ].…”