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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applications and Innovations in Intelligent Systems XVI: Proceedings of Ai-2008, the Twenty-Eighth Sgai International Conference on Innovative Techniq

Applications and Innovations in Intelligent Systems XVI: Proceedings of Ai-2008, the Twenty-Eighth Sgai International Conference on Innovative Techniq

Allen, Tony
Petridis, Miltos
Ellis, Richard

Paperback

Series: Applications and Innovations in Intelligent Systems, Book 16

General Computers

ISBN10: 1848822146
ISBN13: 9781848822146
Publisher: Springer
Published: Nov 14 2008
Pages: 258
Weight: 0.85
Height: 0.57 Width: 6.14 Depth: 9.21
Language: English
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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