Detection of Pharyngolaryngeal Activities in Real-World Settings Using Wearable Sensors.

Automatic detection and identification of pharynxgolaryngeal activities (PLA) such as swallowing, speaking, and coughing, are crucial steps in developing a system for diagnosing dysphagia (swallowing disorders) using high-resolution cervical auscultation (HRCA) signals. Using sensors placed on the throat, HRCA provides clinicians with a non-invasive means of assessing swallowing. This study introduces a new approach based on depthwise CNN and LSTM networks to automatically detect and identify PLA in synchronized accelerometer and microphone signals.