Swallowing gives rise to characteristic patterns of acceleration in normal and dysphagic individuals. Usually, there are several artifacts present in the signal due to speech, coughing, etc. In the present study, two sets of fuzzy-neural committee networks were developed and trained to recognized acceleration signals due to swallowing. Evaluation showed that the networks well recognized the swallow signals and artifacts.
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