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This study aims to collect swallowing acoustics with a novel non-invasive wearable surface microphone device during routine work-up, videofluoroscopic swallow study (VFSS), of patients with dysphagia (swallowing trouble). The collected microphone data will be analyzed to find the pattern of abnormal swallowing by machine learning algorithm.
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