Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21426
Title: Bus seat suspension modification for pregnant women
Authors: Mohammad, Gohari
Roslan, Abdul Rahman, Dr.
Raja Ishak, Raja Hamzah, Dr.
Mona, Tahmasebi
moh.gohari@gmail.com
Keywords: Artificial neural network
Lumped models
Seat suspension
Special seat for pregnants
Optimization
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 404-407
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: The physical safety and mentally health of pregnant females are very important. Uterine blood flow can increase in low frequencies and it is harmful for pregnant mothers. Long term trips sometimes are not avoidable and pregnant persons have to do that. In this study, special bus seat suspension was design and optimized based on pregnant biodynamic model. Artificial neural network method was used for optimization of seat to womb vibration transmissibility. Finally, after optimizing this suspension is able to attenuate unwanted vibration of womb near 85%. Therefore, it is required to fabricate and use this suspension in buses for out of city journeys.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179047
http://dspace.unimap.edu.my/123456789/21426
ISBN: 978-145771989-9
Appears in Collections:Conference Papers

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