UG27 – A Swallowing Monitoring System and Method Based on Surface Electromyography and Strain Sensing

Swallowing detection devices are commonly used in the process of swallowing rehabilitation, which is often required for stroke patients and those who have undergone laryngectomy. This work developed a non-invasive swallowing detection patch, which has lower production costs compared to existing products. This work developed a stretchable surface electromyography (sEMG) electrode using GW-PA hydrogel, optimizing adhesion and mechanical properties by adjusting glycerol content. It monitors bioelectrical signals long-term and serves as a human-machine interface. The sensor patch includes a stretchable sEMG sensor and a high-sensitivity, high-stability flexible strain sensor. The sEMG sensor used GW-PA hydrogel via screen printing and hot pressing techniques. Graphene was prepared on the surface of PI films using laser induction and transferred to a PDMS substrate for a PDMS-LIG composite strain sensor. Then it underwent surface silanization treatment to enable stable adhesion with the sEMG electrode array, integrating multimodal sEMG and strain sensing. Applied to the throat, the patch uses multimodal sensing for real-time monitoring. Integrated with a wireless device, it transmits sEMG and strain data wirelessly with high data consistency. The CNN model achieved an 86% recognition accuracy in swallowing behavior patterns, validating the effectiveness of machine learning for swallowing rehabilitation monitoring.