A Method for Accelerated Medical Product Design Validation by Industrial Designers Using Sensors and AI.

The accelerating pace of technological advancement has opened new avenues for industrial designers to acquire specialist skills and deploy more multidisciplinary tools. This paper explores the challenges and opportunities in adopting multidisciplinary approaches, specifically in the context of industrial design, design engineering, and Software engineering collaboration. While these skills are integral to the development of wearable technologies, they are often managed by distinct teams, leading to a significant learning curve for designers taking on new roles. This study uses scalp cooling as a case study for wearable cooling, where recent studies [1] have shown links to improved clinical efficacy through closer fit to the patient’s scalp. This study presents the development of a programable pressure-sensitive test rig with the integration of 3D printing and sensor technologies to streamline the design and development of medical wearable devices for Small and medium-sized enterprises (SMEs) by Assessing contact variability for effective treatment. Benefiting from utilizing Arduino and various software packages to accelerate the development process with objective-driven metrics to increase efficacy in a heavily regulated medical device market where the opportunity to change designs is limited. Building testing systems (Rig development) traditionally relies on professional input, specialized knowledge, and expertise [2]. This research, however, focuses on the development of a low-cost testing rig where minimal external expert input is utilized. This research shows how Industrial Designers in SME teams can effectively implement such systems and processes, even in the absence of software engineers.