Giannaccini, ME;
Yue, K;
Graveston, J;
Birchall, M;
Conn, A;
Rossiter, J;
(2018)
Respiratory simulator for robotic respiratory tract treatments.
In:
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).
(pp. pp. 2314-2319).
IEEE: Macau, China.
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Abstract
Robotic healthcare is a growing and multi-faceted field where robots help perform surgery, remotely provide care to patients, aid in supplying various physical therapies and further medical research. Robotic simulators of human physiology provide a powerful platform to advance the development of novel treatments, prostheses and therapies. This study focuses on the design, building, testing and characterisation of a novel simulator of the human respiratory system. The comparison between healthy subjects breathing and coughing physiological values and the values achieved utilising our novel bioinspired respiratory simulator shows that the latter is able to reproduce peak flow rates and volumes.
| Type: | Proceedings paper |
|---|---|
| Title: | Respiratory simulator for robotic respiratory tract treatments |
| Event: | 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) |
| ISBN-13: | 978-1-5386-3742-5 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ROBIO.2017.8324764 |
| Publisher version: | https://doi.org/10.1109/ROBIO.2017.8324764 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Robots, Physiology, Valves, Lung, Meters, Solenoids, simulator, respiratory system, robotic health-care, bioinspiration |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > The Ear Institute |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10085568 |
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