NDLI: Neural networks in computer-aided diagnosis classification of dysphagic patients

Content Provider	IEEE Xplore Digital Library
Author	Palreddy, S. Reddy, N.P. Green, P. Canilang, E.P.
Copyright Year	1992
Description	Author affiliation: Dept. of Biomed. Engr., Univ. of Akron, Akron, OH 44325 and Edwin Shaw Hospital, Akron, OH 44312 (Palreddy, S.; Reddy, N.P.; Green, P.; Canilang, E.P.)
Abstract	Dysphagia is a swallowing disorder observed in head injury and stroke patients. Impairment of the oral and pharyngeal phases of the swallowing mechanism often leads to aspiration. Clinically, it is essential to estimate the risk of aspiration in dysphagic patients so that safe feeding protocols can be established. The current clinical procedures of diagnosis are qualitative and involve videofluorography and bedside clinical evaluation. Videofluorography exposes the patient to X-ray radiation and therefore cannot be performed on a daily basis. Reddy, et al. [1–3], have developed non-invasive biomechanical techniques to quantify oral and pharyngeal phases. The biomechanical parameters measured to characterize oral phase were the lateral tongue thrust, the forward tongue thrust, the tongue elevation force and the lip pulling force. For the pharyngeal phase, accelerations of the throat were measured by placing ultraminiature accelerometers on the skin at the levels of cricoid and thyroid cartilages, and the swallow suction pressure was measured with a catheter placed at the base of the tongue. Thomas, et al.[4], have used these biomechanical parameters to classify dysphagic patients into four categories of risk of aspiration. The purpose of the present investigation was to develop and clinically evaluate neural network models for classification of patients based on the biomechanical measurements obtained from them.
Starting Page	1517
Ending Page	1518
File Size	134992
Page Count	2
File Format	PDF
ISBN	0780307852
DOI	10.1109/IEMBS.1992.5761904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-10-29
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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