Xilai Tan
Papers
1
Total Citations
2
H-Index
1
About
Xilai Tan is a researcher at the forefront of wearable robotics and biomedical engineering, with a primary focus on respiratory assistive technologies and human–machine interaction. Their most-cited work, "Evaluation and modeling of diaphragm displacement using ultrasound imaging for wearable respiratory assistive robot" (2024), introduces a novel framework that bridges non-invasive ultrasound imaging with robotic assistance to assess and model diaphragm mobility. This contribution is pivotal for advancing patient care, as it enables real-time, quantitative evaluation of how wearable devices influence respiratory mechanics—a critical step toward personalized treatment for conditions like neuromuscular disorders or respiratory failure. With 2 citations in its early publication stage, the paper signals growing interest in Tan’s interdisciplinary approach, which integrates biomechanical modeling, sensor fusion, and soft robotics. By addressing the gap in assessing robotic impact on diaphragm function, Tan’s work lays the groundwork for smarter, adaptive assistive devices that can optimize breathing support. Their research holds promise for improving outcomes in rehabilitation and critical care, positioning Tan as an emerging innovator in the field of wearable health technologies.
Research Focus
Key Achievements
Top Papers
- 1