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Proceedings Paper

A swallowing detection method based on FBG sensor for radiotherapy
Author(s): Zhongyan AI; Linyong Shen; Ya'nan Zhang; Ji Li; Shengzi Wang; Jinwu Qian
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Paper Abstract

During the radiation therapy of the laryngeal tumor, the laryngeal motion occurred from swallowing can cause the tumor to move away from the radiation area and lead to a decline in treatment efficiency. Therefore, to detect the time of swallowing of a laryngeal cancer patient is essential for later remedial measures. However, since metal occlusion cannot be contained in front of the irradiation rays, many conventional detection methods cannot be used. This paper presents a Fiber Bragg Grating (FBG) based method for swallowing detection. The FBG sensor is attached to the thyroid cartilage of the human throat. The movement of the thyroid cartilage during the bending causes the FBG sensor to bend, causing the wavelength of the reflected light of the sensor to change. The change of the wavelength of the reflected light reflects the movement of the thyroid cartilage. In the experiment of healthy adults, both the camera and the FBG sensor were used to detect the movement of the throat during swallowing. The results of the camera detection were compared with the results of the sensor detection. The result illustrates that the FBG sensor can correctly count swallows and efficiently detect the swallowing movement time.

Paper Details

Date Published: 16 October 2019
PDF: 6 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112050N (16 October 2019); doi: 10.1117/12.2542221
Show Author Affiliations
Zhongyan AI, Shanghai Univ. (China)
Linyong Shen, Shanghai Univ. (China)
Ya'nan Zhang, Shanghai Univ. (China)
Ji Li, EYE and ENT Hospital of Fudan Univ. (China)
Shengzi Wang, EYE and ENT Hospital of Fudan Univ. (China)
Jinwu Qian, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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