Paper Abstract and Keywords |
Presentation |
2020-03-13 13:40
Comparison of non-invasive measurement signals of neck surface deformation during repetitive saliva swallowing Yukari Miyata, Tomoya Sakai, Amane Yoshiki, Misako Higashijima (Nagasaki Univ) MICT2019-56 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Pneumonia risk due to silent aspiration increases with age as the swallowing ability declines. A new daily-usable device for evaluating swallowing function would be necessary for early detection of dysphagia. It should be clarified what extent information on the biological phenomena of swallowing the new device can acquire from the measured signals. As biological information is represented by combinations of signal features, acquirable information depends on the physical quantities and measurement methods. If features from a signal can be inferred from features from another signal, both signals can be said to contain common information represented by the associated features. this paper present a machine learning approach to ascertain the information shared by different biosignals. It is
experimentally suggested that simultaneous measurement of neck surface deformation during repetitive saliva swallowing
with a depth camera and a piezoelectric film sensor provide temporal sequences both containing information
for the detection and counting of swallowing as well as the velocity of deformation caused by deglutition. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Biosignal processing / Sequence-to-sequence learning / stereoscopic imaging / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 480, MICT2019-56, pp. 23-27, March 2020. |
Paper # |
MICT2019-56 |
Date of Issue |
2020-03-06 (MICT) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MICT2019-56 |