S'identifier

Mohammad Habibur Rahman

Department of Mechanical Engineering,
BioRobotics Lab,
Department of Mechanical Engineering, BioRobotics Lab

University of Wisconsin-Milwaukee

BIOGRAPHY

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PUBLICATIONS

Novel robust control of a 7-DOF exoskeleton robot.

PloS one , 2018 | Pubmed ID: 30192815

Design and development of a sensored glove for home-based rehabilitation.

Journal of hand therapy : official journal of the American Society of Hand Therapists , 2020 | Pubmed ID: 32451172

A Novel Modified Super-Twisting Control Augmented Feedback Linearization for Wearable Robotic Systems Using Time Delay Estimation.

Micromachines May, 2021 | Pubmed ID: 34064248

Design and Development of an Upper Limb Rehabilitative Robot with Dual Functionality.

Micromachines Jul, 2021 | Pubmed ID: 34442492

Flexohand: A Hybrid Exoskeleton-Based Novel Hand Rehabilitation Device.

Micromachines Oct, 2021 | Pubmed ID: 34832686

Eye-gaze control of a wheelchair mounted 6DOF assistive robot for activities of daily living.

Journal of neuroengineering and rehabilitation Dec, 2021 | Pubmed ID: 34922590

Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation.

Sensors (Basel, Switzerland) May, 2022 | Pubmed ID: 35632155

Autonomous Exercise Generator for Upper Extremity Rehabilitation: A Fuzzy-Logic-Based Approach.

Micromachines May, 2022 | Pubmed ID: 35744456

Hand Rehabilitation Devices: A Comprehensive Systematic Review.

Micromachines Jun, 2022 | Pubmed ID: 35888850

Walking position commanded NAO robot using nonlinear disturbance observer-based fixed-time terminal sliding mode.

ISA transactions Mar, 2024 | Pubmed ID: 38151448

Community mobility and participation assessment of manual wheelchair users: a review of current techniques and challenges.

Frontiers in human neuroscience , 2023 | Pubmed ID: 38249574

INSTITUTIONS

University of Wisconsin-Milwaukee

JOVE ARTICLES

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Kishor Lakshminarayanan¹,

Rakshit Shah²,

Vadivelan Ramu¹,

Deepa Madathil³,

Yifei Yao⁴,

Inga Wang⁵,

Brahim Brahmi⁶,

Mohammad Habibur Rahman⁷

¹Department of Sensors and Biomedical Tech, School of Electronics Engineering, Vellore Institute of Technology,

²Department of Orthopaedic Surgery, University of Arizona,

³Jindal Institute of Behavioural Sciences, O. P. Jindal Global University,

⁴Soft Tissue Biomechanics Laboratory, Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University,

⁵Department of Occupational Science & Technology, University of Wisconsin-Milwaukee,

⁶Electrical Engineering, Collège Ahuntsic,

⁷Department of Mechanical Engineering, BioRobotics Lab, University of Wisconsin-Milwaukee

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Mohammad Habibur Rahman

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Mechanical Engineering,BioRobotics Lab,Department of Mechanical Engineering, BioRobotics Lab

University of Wisconsin-Milwaukee

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Department of Mechanical Engineering,
BioRobotics Lab,
Department of Mechanical Engineering, BioRobotics Lab