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13 November 2014 Cardiac-induced localized thoracic motion detected by a fiber optic sensing scheme
Thomas Allsop, Glynn Lloyd, Ranjeet S. Bhamber, Ljupco Hadzievski, Michael Halliday, David J. Webb, Ian Bennion
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Journal of Biomedical Optics, Vol. 19, Issue 11, 117006 (November 2014). https://doi.org/10.1117/1.JBO.19.11.117006
Abstract
The cardiovascular health of the human population is a major concern for medical clinicians, with cardiovascular diseases responsible for 48% of all deaths worldwide, according to the World Health Organization. The development of new diagnostic tools that are practicable and economical to scrutinize the cardiovascular health of humans is a major driver for clinicians. We offer a new technique to obtain seismocardiographic signals up to 54 Hz covering both ballistocardiography (below 20 Hz) and audible heart sounds (20 Hz upward), using a system based on curvature sensors formed from fiber optic long period gratings. This system can visualize the real-time three-dimensional (3-D) mechanical motion of the heart by using the data from the sensing array in conjunction with a bespoke 3-D shape reconstruction algorithm. Visualization is demonstrated by adhering three to four sensors on the outside of the thorax and in close proximity to the apex of the heart; the sensing scheme revealed a complex motion of the heart wall next to the apex region of the heart. The detection scheme is low-cost, portable, easily operated and has the potential for ambulatory applications.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2014/$25.00 © 2014 SPIE
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Thomas Allsop, Glynn Lloyd, Ranjeet S. Bhamber, Ljupco Hadzievski, Michael Halliday, David J. Webb, and Ian Bennion "Cardiac-induced localized thoracic motion detected by a fiber optic sensing scheme," Journal of Biomedical Optics 19(11), 117006 (13 November 2014). https://doi.org/10.1117/1.JBO.19.11.117006
Published: 13 November 2014
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Cited by 13 scholarly publications and 1 patent.
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KEYWORDS
Sensors
Heart
Fiber optics sensors
Motion detection
Human subjects
Sensing systems
Fiber Bragg gratings
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