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Applications and Innovations in Intelligent Systems XVI - Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (Paperback, 2009 ed.)
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Applications and Innovations in Intelligent Systems XVI - Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (Paperback, 2009 ed.)
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Swallowing sound recognition is an important task in bioengineering
that could be employed in systems for automated swallowing
assessment and diagnosis of abnormally high rate of swallowing
(aerophagia) [1], which is the primary mode of ingesting excessive
amounts of air, and swallowing dysfunction (dysphagia) [2]-[5],
that may lead to aspiration, choking, and even death. Dysphagia
represents a major problem in rehabilitation of stroke and head
injury patients. In current clinical practice videofluoroscopic
swallow study (VFSS) is the gold standard for diagnosis of
swallowing disorders. However, VFSS is a ti- consuming procedure
performed only in a clinical setting. VFSS also results in some
radiation exposure. Therefore, various non-invasive methods are
proposed for swallowing assessment based on evaluation of
swallowing signals, recorded by microphones and/or accelerometers
and analyzed by digital signal processing techniques [2]-[5].
Swallowing sounds are caused by a bolus passing through pharynx. It
is possible to use swallowing sounds to determine pharyngeal phase
of the swallow and characteristics of the bolus [2].
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