Chong Li

Orcid: 0000-0003-4340-7436

Affiliations:
  • Tsinghua University, Department of Mechanical Engineering, Lab of Intelligent and Biomimetic Machinery, Beijing, China
  • Tsinghua University, School of Clinical Medicine, Beijing, China
  • Delft University of Technology, Faculty of Industrial Design Engineering, Delft, The Netherlands (PhD 2016)


According to our database1, Chong Li authored at least 18 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Closed-Loop Respiratory Intervention Enhances Sleep Ventilation and Oxygen Saturation in Healthy Participants With Rapid High-Altitude Exposure.
IEEE J. Biomed. Health Informatics, May, 2025

Cortical Activation Patterns Determine Effectiveness of rTMS-Induced Motor Imagery Decoding Enhancement in Stroke Patients.
IEEE Trans. Biomed. Eng., March, 2025

Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis.
CoRR, March, 2025

2024
Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis.
IEEE J. Biomed. Health Informatics, February, 2024

AM-EEGNet: An advanced multi-input deep learning framework for classifying stroke patient EEG task states.
Neurocomputing, 2024

Repetitive Passive Movement Modulates Cortical Dynamics in Subacute Stroke Patients with Sensory Deficits.
Proceedings of the 17th International Convention on Rehabilitation Engineering and Assistive Technology, 2024

Unsupervised Gait Assessments of Stroke Patients Using a Smartphone and Machine Learning.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Enhancing Motor Learning Performance by Incorporating Brain-to-brain Coupling with Affective Interaction.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2022
A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings.
IEEE J. Biomed. Health Informatics, 2022

EEG-based evaluation of motion sickness and reducing sensory conflict in a simulated autonomous driving environment.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
EEG characteristics in "eyes-open" versus "eyes-closed" condition during vibrotactile stimulation.
Biomed. Signal Process. Control., 2021

5 Hz rTMS improves motor-imagery based BCI classification performance.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals.
IEEE Access, 2020

2019
How Height and Weight of Patients with Spinal Cord Injury Affect the Spring Locations of Unpowered Energy-stored Exoskeleton.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2016
Validation of the reasoning of an entry-level cyber-physical stroke rehabilitation system equipped with engagement enhancing capabilities.
Eng. Appl. Artif. Intell., 2016

Development of engagement evaluation method and learning mechanism in an engagement enhancing rehabilitation system.
Eng. Appl. Artif. Intell., 2016

2014
Upper limb Motor Rehabilitation Integrated with Video Games Focusing on Training fingers' Fine movements.
Int. J. Robotics Autom., 2014

Optimizing patients' engagement by a cyber-physical rehabilitation system.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014


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