NDLI: A knowledge-based approach to identify aspiration by fuzzy logic

Content Provider	IEEE Xplore Digital Library
Author	Yagi, N. Takahashi, R. Ueno, H. Yabe, T. Kayashita, J. Oke, Y. Oku, Y.
Copyright Year	2014
Description	Author affiliation: Jcraft Co. Ltd., Izumi, Japan (Ueno, H.) \|\| Murata Manuf. Co. Ltd., Kyoto, Japan (Yabe, T.) \|\| Dept. of Physiol., Hyogo Coll. of Med., Nishinomiya, Japan (Oke, Y.; Oku, Y.) \|\| Dept. of Health Sci., Prefectural Univ. of Hiroshima, Hiroshima, Japan (Kayashita, J.) \|\| Dept. of Neurology, Kyoto Univ., Kyoto, Japan (Yagi, N.; Takahashi, R.)
Abstract	Aspiration is associated with the decreased Quality of Life Score (QOLS) in swallowing and chewing. It is caused by central nervous system disorders that include stroke, cerebral palsy, and intractable neurological diseases, disorders of oral cavity, pharynx or larynx and so on. Because the simple aging causes ingesting/swallowing disorders, it became one of serious health problems of the aging society. The evaluation of dysphagia is used by video fluoroscopy (VF), video endoscopy (VE), repetitive saliva swallow test, water swallow tests, and food tests. The advantage of VF and VE is the detailed evaluation and diagnosis for it, and the disadvantage of them is a higher risk of carcinogenesis by X-rays. Therefore, the authors propose a noninvasive swallow testing system by fuzzy logic. This study developed a fuzzy system that permits flexible modeling using breath information and sound intensity. The results confirmed that the fuzzy inference method yields a high accurate swallow estimates of 84.75%.
Starting Page	912
Ending Page	916
File Size	1757671
Page Count	5
File Format	PDF
ISBN	9781889335490
DOI	10.1109/WAC.2014.6936196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Central nervous system Esophagus Frequency modulation Sensitivity respiratory flow swallow monitoring dysphagia fuzzy logic aspiration
Content Type	Text
Resource Type	Article

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