Chuxuan Guo

ORCID: 0009-0005-8466-5978
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About
Contact & Profiles
Research Areas
  • Muscle activation and electromyography studies
  • Prosthetics and Rehabilitation Robotics
  • Advanced Sensor and Energy Harvesting Materials
  • Gait Recognition and Analysis
  • Tactile and Sensory Interactions
  • Diabetic Foot Ulcer Assessment and Management
  • Cell Image Analysis Techniques
  • Balance, Gait, and Falls Prevention
  • Robotic Locomotion and Control
  • Innovative Energy Harvesting Technologies
  • Gene Regulatory Network Analysis
  • Genetics, Bioinformatics, and Biomedical Research
  • Ergonomics and Musculoskeletal Disorders

Huazhong University of Science and Technology
2022-2025

Fujian Agriculture and Forestry University
2024

Skeletal muscles are critical to human-limb motion dynamics and energetics, where their mechanical states seldom explored in vitro due practical limitations of sensing technologies. This article aims capture deformations muscle contraction using wearable flexible sensors, which is justified with model calibration experimental validation. The capacitive sensor designed the composite conductive fabric electrodes porous dielectric layer increase pressure sensitivity prevent lateral expansions....

10.1089/soro.2022.0065 article EN Soft Robotics 2022-12-01

Motivated by the need for underwater exoskeleton control, swimming phase monitoring is critical to adjust robotic assistance human motions. However, harsh environments bring in challenges of poor robustness and serious disturbances few available sensing methods leading coarse segmentation. Given skeletal muscle activation limb joint motions, this paper proposes a muscle-joint synergy method combine mechanics captured novel capacitive sensor with kinematics traditional inertial measurements....

10.1109/tim.2023.3343771 article EN IEEE Transactions on Instrumentation and Measurement 2023-12-18

Accurate estimation of gait phases is crucial in controlling wearable robots designed to restore or enhance human walking capabilities. Asynchronous human-machine motions can lead reduced efficiency, increased interaction loads, and potential harm the body. Variations speeds terrain ramps pose additional challenges continuous phase estimation. This paper presents a novel synergy method based on muscle deformations measured by flexible sensors dynamically monitor while adapting changes speed...

10.1109/jsen.2024.3404633 article EN IEEE Sensors Journal 2024-05-30

Morphological evolution is key to understanding biodiversity and adaptability, revealing how organisms morphology changes during evolution. Gene regulatory networks (GRNs) play a central role in regulating gene expression driving morphological traits. This review explores the intersection of developmental biology, discussing GRNs composition, functions, their shaping diversity across species. Research shows are conserved yet flexible, allowing evolutionary adaptation changing environments....

10.54254/2753-8818/2024.18865 article EN cc-by Theoretical and Natural Science 2024-12-26
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