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Deep Learning-Enabled Swallowing Monitoring and Postoperative Recovery Biosensing System

Signal Processing 2023-12-18 v1 Machine Learning
Authors: Chih-Ning Tsai , Pei-Wen Yang , Tzu-Yen Huang , Jung-Chih Chen , Hsin-Yi Tseng , Che-Wei Wu , Amrit Sarmah , Tzu-En Lin
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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.

Keywords

3d-printed dry electrode biosensing postoperative recovery drop coating 2d material swallowing monitoring deep learning

Cite

@article{arxiv.2312.09429,
  title  = {Deep Learning-Enabled Swallowing Monitoring and Postoperative Recovery Biosensing System},
  author = {Chih-Ning Tsai and Pei-Wen Yang and Tzu-Yen Huang and Jung-Chih Chen and Hsin-Yi Tseng and Che-Wei Wu and Amrit Sarmah and Tzu-En Lin},
  journal= {arXiv preprint arXiv:2312.09429},
  year   = {2023}
}

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