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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Eligibility Criteria
Inclusion Criteria:
* Diagnosis or suspected stroke
* Stroke with additional neurological disorders
* Age between 40 and 85
* Male and Female
* Scheduled to VFSS due to suspected dysphagia, which is determined by bedside water swallowing test and EAT-10 questionnaire as a standard of care.
Exclusi…
Inclusion Criteria:
* Diagnosis or suspected stroke
* Stroke with additional neurological disorders
* Age between 40 and 85
* Male and Female
* Scheduled to VFSS due to suspected dysphagia, which is determined by bedside water swallowing test and EAT-10 questionnaire as a standard of care.
Exclusion Criteria:
* BMI\>35 as an exclusion criteria to recruit participants due to limited transmission of acoustics through increased subcutaneous fat.
* Head and neck cancer treatment history
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