Deep Learning-Enabled Swallowing Monitoring and Postoperative Recovery Biosensing System
Chih-Ning Tsai, Pei-Wen Yang, Tzu-Yen Huang, Jung-Chih Chen, Hsin-Yi Tseng, Che-Wei Wu, Amrit Sarmah, Tzu-En Lin
arXiv:2312.09429v1h-index: 13
Originality Synthesis-oriented
AI Analysis
It addresses postoperative recovery monitoring for patients, but appears incremental as it focuses on electrode fabrication without broader system validation.
This study developed a 3D printed dry electrode with a novel 2D material for biosensing in postoperative recovery, but no concrete results or numbers are provided in the abstract.
This study introduces an innovative 3D printed dry electrode tailored for biosensing in postoperative recovery scenarios. Fabricated through a drop coating process, the electrode incorporates a novel 2D material.