Xiaolu Nan
Papers
1
Total Citations
2
H-Index
1
About
Xiaolu Nan 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 for assessing how wearable robots influence diaphragm mobility—a critical yet underexplored factor in respiratory care. By integrating ultrasound imaging with computational modeling, Nan’s research bridges a key gap between robotic assistance and physiological monitoring, offering a pathway to more personalized and effective treatment for patients with respiratory impairments. This work has already garnered early citations, signaling its growing impact in the field. Nan’s contributions are particularly notable for their interdisciplinary approach, combining biomechanics, sensor technology, and clinical application. Their ongoing research holds promise for advancing patient outcomes in pulmonary rehabilitation and assistive robotics, making them a rising voice in the development of intelligent, body-aware medical devices.
Research Focus
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Top Papers
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