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Zeng-Guang Hou

Researcher at Chinese Academy of Sciences

Publications -  269
Citations -  3557

Zeng-Guang Hou is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Artificial neural network & Mobile robot. The author has an hindex of 26, co-authored 269 publications receiving 2940 citations. Previous affiliations of Zeng-Guang Hou include Center for Excellence in Education & Institute for Infocomm Research Singapore.

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Recumbent lower limb rehabilitation robot and corresponding active exercise control method

TL;DR: In this paper, a recumbent lower limb rehabilitation robot and a corresponding active exercise control method are presented, where the traditional occupational therapy and the exercise therapy are organically combined, thus effectively improving the rehabilitation effect of the patient and enhancing the active participation wish.
Proceedings ArticleDOI

3D modeling of coronary arteries based on tubular-enhanced CURVES segmented regions for robotic surgical simulation

TL;DR: A robust and semi-automatic approach for the segmentation of the coronary arteries is developed based on the multi-scale tubular enhancement and an improved geodesic active contours model and has been proved successful for the visualization of theocardial vasculaturebased on the CTA information.
Journal ArticleDOI

A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills

TL;DR: The experimental results indicate that the proposed architecture can achieve the overall accuracy of 96.41%, much higher than that of a single-layer recognition architecture, and the multimodal fusion brings significant performance improvement in comparison with single-modal schemes.
Proceedings ArticleDOI

Dynamics modeling and identification of the human-robot interface based on a lower limb rehabilitation robot

TL;DR: This paper is devoted to modeling and identifying the dynamics of the HRI, a method based on the dynamic model of the human-robot interface (HRI) to recognize the human motion intention of patients' motion intention.
Proceedings ArticleDOI

An image-based guidewire navigation method for robot-assisted intravascular interventions

TL;DR: Using a newly developed robotic system to automatically deliver guidewires or catheters to the target site on percutaneous coronary interventions (PCIs) or electrophysiology interventions using electromagnetic tracking technology is introduced.