17 April 2017 3D printing and IoT for personalized everyday objects in nursing and healthcare
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Today, application of 3D printing technology for medical use is getting popular. It strongly helps to make complicated shape of body parts with functional materials. We can complement injured, weakened or lacked parts, and recover original shape and functions.

However, these cases are mainly focusing on the symptom itself, not on everyday lives of patients. With life span extending, many of us will live a life with chronic disease for long time. Then, we should think about our living environment more carefully. For example, we can make personalized everyday objects and support their body and mind.

Therefore, we use 3D printing for making everyday objects from nursing / healthcare perspective. In this project, we have 2 main research questions.

The first one is how to make objects which patients really require. We invited many kinds of people such as engineer, nurses and patients to our research activity. Nurses can find patient’s real demands firstly, and engineers support them with rapid prototyping. Finally, we found the best collaboration methodologies among nurses, engineers and patients.

The second question is how to trace and evaluate usages of created objects. Apparently, it’s difficult to monitor user’s activity for a long time. So we’re developing the IoT sensing system, which monitor activities remotely. We enclose a data logger which can lasts about one month with 3D printed objects. After one month, we can pick up the data from objects and understand how it has been used.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yoshihiro Asano, Yoshihiro Asano, Hiroya Tanaka, Hiroya Tanaka, Shoko Miyagawa, Shoko Miyagawa, Junki Yoshioka, Junki Yoshioka, } "3D printing and IoT for personalized everyday objects in nursing and healthcare", Proc. SPIE 10167, Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017, 101670A (17 April 2017); doi: 10.1117/12.2261651; https://doi.org/10.1117/12.2261651

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