TY - GEN
T1 - Swallowing function evaluation using deep-learning-based acoustic signal processing
AU - Kodama, Chisa
AU - Kato, Kunihito
AU - Tamura, Satoshi
AU - Hayamizu, Satoru
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - In recent years, people with swallowing disorder are increasing. Therefore, it is important to evaluate the swallowing function in the early detection and prevention of swallowing disorder. In this study, we used a capsule that generates sound and estimated the timing at which food is sent to the esophagus by sound signal processing and deep learning. By comparing it with the movement of the epiglottis tracked by the image, we performed a noninvasive and quantitative swallowing function evaluation.
AB - In recent years, people with swallowing disorder are increasing. Therefore, it is important to evaluate the swallowing function in the early detection and prevention of swallowing disorder. In this study, we used a capsule that generates sound and estimated the timing at which food is sent to the esophagus by sound signal processing and deep learning. By comparing it with the movement of the epiglottis tracked by the image, we performed a noninvasive and quantitative swallowing function evaluation.
UR - http://www.scopus.com/inward/record.url?scp=85050813498&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050813498&partnerID=8YFLogxK
U2 - 10.1109/APSIPA.2017.8282161
DO - 10.1109/APSIPA.2017.8282161
M3 - Conference contribution
AN - SCOPUS:85050813498
T3 - Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
SP - 961
EP - 964
BT - Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Y2 - 12 December 2017 through 15 December 2017
ER -