3D-printed origami technology to aid in the fight against COVID-19

Researchers in Simon Fraser University’s Additive Manufacturing Lab are replicating a distinctive artform—the subtle folding of origami—to create 3D printable technologies to aid in the fight against COVID-19, and help doctors to identify and diagnose various health conditions.     

Highlighting the work, led by SFU School of Mechatronic Systems Engineering's associate professor Woo Soo Kim, is a low-cost, portable 3D-printed ventilator, driven by a patented, intelligent 3D-printed origami tube. An in-depth overview of the design and development of the innovation, recently evaluated by a local team of respiratory therapists, has been published in the journal Flexible and Printed Electronics.

The portable mechanical ventilator is designed to assist a person's breathing by reliably contracting a 3D-printed origami tube, rather than compressing a conventional bag-valve mask (BVM), which reduces the overall size of the assisted breathing machine with mechanical strength gain. The 3D-printed design and lightweight materials also lowers production costs.

In our portable origami ventilator, more than 95 per cent of components can be 3D printable, that's why it is really cost-efficient. Other portable ventilators can cost over $2,000, but our 3D-printed ventilator can be produced for about $200."

Woo Soo Kim, Associate Professor, SFU School of Mechatronic Systems Engineering

Kim says that the small and lightweight design, combined with low production costs, makes their portable ventilator useful for treating COVID-19 patients or patients who need a compact and transportable device outside of hospital settings, such as long-term care homes or in remote rural areas and developing countries.

The team has partnered with Vancouver-based ventilator manufacturer Pantheon Design and Delta-based 3D-printing company Tinkerine, with support from the Alliance program of the Natural Sciences and Engineering Research Council of Canada (NSERC). The team is also seeking further investment and development partners with a goal of mass production.

Developing 3D origami-based dry electrodes for sensing robots to assist healthcare professionals

Kim is also developing and patenting 3D origami dry electrodes that can be used to monitor patient health. This technology is under the same intellectual property strategy of 3D printed origami technologies. The dry electrodes can detect and monitor physiological signals, such as heartbeat, breathing, temperature and muscle movements, all with the simple touch of the 3D origami dry electrodes.

In the future, Kim envisions that this technology could be used to assist doctors and nurses by allowing them to assess patients' health remotely through a robot helper.

The humanoid robot would also be able to monitor oxygen levels – useful in cases where a patient has developed severe COVID-19. The data can be viewed in real-time on the robot's monitor or sent directly to the healthcare provider.

"The dry electrode doesn't need to be equipped with the sensing robot – it can be used in a hospital setting to replace the wet gel type electrode for electrophysiology such as electrocardiogram or blood pressure measurement applications," Kim says. "Dry electrodes are just one of the technologies under this portfolio of 3D origami technologies we are developing here at SFU."

Source:
Journal reference:

Kim, T-H., et al. (2021) 3D architectured air sensing tubes for a portable mechanical ventilator. Flexible and Printed Electronics. doi.org/10.1088/2058-8585/ac1fd6.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study finds nirmatrelvir-ritonavir reduces severe COVID-19 and long COVID risks in high-risk patients