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Sleep apnea syndrome prevention system using a robotic arm with adaptive control

Sleep apnea syndrome prevention system using a robotic arm with adaptive control It is known that sleep apnea syndrome (SAS) is a serious problem in developed nations. According to the statistics data, it is said that SAS patient has a traffic accident-generation risk of approximately three times in comparison with non-SAS patient. The device which it is simple and is easy to use should be developed to prevent the SAS situation for the mild and moderate patients. In this paper, we develop an automatic judgement system of apnea state for a SAS patient and an adaptive control of a robotic arm system which stimulates turning over in bed for SAS patients only using non-contact type sensors. Experimental results are given to show the effectiveness of our developed equipment. Keywords: sleep apnea syndrome; SAS; robotic arm; human healthcare; adaptive control. Reference to this paper should be made as follows: Sato, K. and Tanaka, M. (2015) `Sleep apnea syndrome prevention system using a robotic arm with adaptive control', Int. J. Advanced Mechatronic Systems, Vol. 6, No. 4, pp.184­192. Biographical notes: Kazuya Sato is a Professor at Department of Mechanical Engineering at Saga University. He completed his PhD degree from Kyushu Institute of Technology in 1996. Since 1991, he has been researching in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Advanced Mechatronic Systems Inderscience Publishers

Sleep apnea syndrome prevention system using a robotic arm with adaptive control

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Publisher
Inderscience Publishers
Copyright
Copyright © 2015 Inderscience Enterprises Ltd.
ISSN
1756-8412
eISSN
1756-8420
DOI
10.1504/IJAMECHS.2015.072708
Publisher site
See Article on Publisher Site

Abstract

It is known that sleep apnea syndrome (SAS) is a serious problem in developed nations. According to the statistics data, it is said that SAS patient has a traffic accident-generation risk of approximately three times in comparison with non-SAS patient. The device which it is simple and is easy to use should be developed to prevent the SAS situation for the mild and moderate patients. In this paper, we develop an automatic judgement system of apnea state for a SAS patient and an adaptive control of a robotic arm system which stimulates turning over in bed for SAS patients only using non-contact type sensors. Experimental results are given to show the effectiveness of our developed equipment. Keywords: sleep apnea syndrome; SAS; robotic arm; human healthcare; adaptive control. Reference to this paper should be made as follows: Sato, K. and Tanaka, M. (2015) `Sleep apnea syndrome prevention system using a robotic arm with adaptive control', Int. J. Advanced Mechatronic Systems, Vol. 6, No. 4, pp.184­192. Biographical notes: Kazuya Sato is a Professor at Department of Mechanical Engineering at Saga University. He completed his PhD degree from Kyushu Institute of Technology in 1996. Since 1991, he has been researching in

Journal

International Journal of Advanced Mechatronic Systems – Inderscience Publishers

Published: Jan 1, 2015

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