Guanhao Huang

Papers

Total Citations

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About

Guanhao Huang is a researcher at the forefront of intelligent medical robotics, with a primary focus on pulse diagnosis automation and sensor-based physiological sensing. His most cited work, "Pulse localization networks with infrared camera" (2021, 7 citations), addresses a critical challenge in robotic pulse diagnosis: accurately locating the pulse point to reduce misdiagnosis caused by pulse type variations. Traditional methods rely on contact-based collection surfaces that must be physically moved, limiting precision and adaptability. Huang’s innovation integrates infrared camera data with neural network architectures, enabling non-contact, high-accuracy pulse localization. This contribution bridges computer vision and traditional Chinese medicine diagnostics, offering a pathway toward more reliable, automated health assessments. By combining deep learning with thermal imaging, his work enhances the sensitivity and specificity of robotic pulse-taking systems. Though early in his career, Huang’s research signals a promising direction for human-robot interaction in clinical settings, where precise, non-invasive sensing is paramount. His work stands out for its interdisciplinary approach, merging robotics, machine learning, and biomedical engineering to solve a long-standing problem in automated diagnosis.