Xudong Guo

University of Shanghai for Science and Technology

Papers

Total Citations

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About

Xudong Guo is a pioneering researcher in biomedical engineering and robotic sensing, whose work bridges nonlinear dynamics and medical device innovation. His key research areas include fractal analysis of physiological signals, electrical capacitance tomography (ECT) for robotic perception, and magnetic tracking for endoscopic capsules. Guo’s major contributions began with a foundational study on human colonic pressure activity, where he applied the box-counting method to reveal nonlinear fractal dynamics in gastrointestinal motility—a novel approach that quantified signal roughness under normal physiological conditions. This work, cited 6 times, laid groundwork for understanding complex biological rhythms. More recently, Guo has advanced soft robotics with a flexible ECT sensor for proximity object recognition, achieving 4 citations since 2025. This innovation overcomes limitations of traditional sensors, enabling robots to perceive objects with enhanced adaptability. His 2022 study on pose tracking using magnetic excitations with frequency division for robotic endoscopic capsules (3 citations) demonstrates his commitment to improving minimally invasive diagnostics. Guo’s interdisciplinary research—from fractal mathematics to flexible electronics—positions him as a key figure in developing intelligent, non-invasive medical technologies that merge computational analysis with real-world robotic applications.