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].
Table of Content
Best Application Paper: Wireless LAN Load-Balancing with Genetic Algorithms.- Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier.- Graph-Based Image Classification by Weighting Scheme.- Visualisation of Agriculture Data Using Self-Organising Maps.- A Machine Learning Application for Classification of Chemical Spectra.- PSO based Optimal Design of Induction Motor and its Realisation via SPEED/PC-IMD.- Learning to Rank Order – a Distance-Based Approach.- Executing Medical Guidelines on the Web: Towards Next Generation Healthcare.- Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks.- Information Management for Unmanned Systems: Combining DL-Reasoning with Publish/Subscribe.- Conversational Agents in E-Learning.- Computer Vision Systems for Manufacturing of Micro Workpieces.- Silog: Speech Input Logon.- Deploying Embodied AI into Virtual Worlds.- An Electronic Tree Inventory for Arboriculture Management.- Breast Cancer Diagnosis based on Evolvable Fuzzy Classifiers and Feature Selection.- A Hybrid Constraint Programming Approach for Nursing Rostering Problems.- Using Evolved Fuzzy Neural Networks for Injury Detection from Isokinetic Curves.- An Evolutionary Approach to Simulated Football Free Kick Optimisation.- An Application of Artificial Intelligence to the Implementation of Electronic Commerce.- Hybrid System for the Inventory of the Cultural Heritage using Voice Interface for Knowledge acquisition
Language English ● Format PDF ● Pages 258 ● ISBN 9781848822153 ● File size 7.9 MB ● Editor Tony Allen & Richard Ellis ● Publisher Springer London ● City London ● Country GB ● Published 2010 ● Downloadable 24 months ● Currency EUR ● ID 4608918 ● Copy protection Adobe DRM
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