Advanced wound care requires innovative automated solutions capable of saving clinicians time while improving patient care [3, 4]. Research methods for wound monitoring are commonly based on smartphone apps combined with artificial intelligence (AI) [5]. These techniques are appealing due to the wide use of smartphone technology and AI. Nonetheless, there are considerable drawbacks such as digital camera hardware variability, lack of saturation image control or difficulty for autonomous patient use. Based on strong clinical traction, we propose developing a purpose-specific instrument to overcome such challenges.
During the first phase of designing and implementing the robotic stand, we extensively collected end-user feedback from the Twente hospitals and healthcare organisations, with an emphasis on expert clinicians on wound monitoring care. From their wishes, we extracted a set of engineering specs that were implemented in practice as a functional (pre-)prototype (Figure 1).
In this Graduation Project, the focus is on improving the hardware electronics. More precisely, we want to refine the electronic design, implementing a Printed Circuit Board (PCB) that will integrate all necessary electronics, including interfacing with a Raspberry Pi and driving the motor actuators. This PCB will serve as the central hub for controlling the electronic components of the system.
