Seng Kwee Wee

Associate Professor

Singapore Institute of Technology

Singapore

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About

Dr. Seng Kwee Wee is an Associate Professor at the Singapore Institute of Technology, Singapore. His research focuses on neurorehabilitation, spinal cord injury recovery, and soft robotics applications in rehabilitation. Recent articles include investigations into spinal cord stimulation, community ambulation, and mobile robotic assistance for patients with motor impairments.

Articles (16)

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2025

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2025

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2025

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2025

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2020

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2020

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2020

Collaborators (5)

Simone Kager

Singapore Institute of Technology

SINGAPORE

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Lorenzo Masia

Heidelberg University

GERMANY

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Phyllis Liang

Assistant Professor (Research)

Nanyang Technological University (NTU)

SINGAPORE

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Jane Burridge

University of Southampton

UNITED KINGDOM

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Dino Accoto

BELGIUM

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Seng Kwee Wee

Research Interests

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About

Articles (16)

Recruitment Challenges in Spinal Cord Stimulation Trial for Motor Recovery in Patients with Chronic Complete Spinal Cord Injury

Synergistic integration of epidural spinal cord stimulation with robotic therapy and neurorehabilitation to facilitate functional recovery in chronic sensorimotor complete spinal cord injury: A case series

Walking speed and distance requirements for functional community ambulation in Singapore

Soft Robotics in Upper Limb Neurorehabilitation and Assistance: Current Clinical Evidence and Recommendations

Mobile Robotic Balance Assistant (MRBA): a gait assistive and fall intervention robot for daily living

Deep Phenotyping of Upper Limb Sensorimotor Recovery in Asian Stroke Survivors: A Study Protocol

Recovery of volitional motor control and overground walking in participants with chronic clinically motor complete spinal cord injury: RESTORES trial – A preliminary study

Upper limb sensorimotor recovery in Asian stroke survivors: a study protocol for the development and implementation of a Technology-Assisted dIgitaL biOmaRker (TAILOR) platform

Longitudinal analysis of the recovery of trunk control and upper extremity following stroke: An individual growth curve approach

Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients

Identification of Secondary Biomechanical Abnormalities in the Lower Limb Joints after Chronic Transtibial Amputation: A Proof-of-Concept Study Using SPM1D Analysis

Instrumented trunk impairment scale (iTIS): A reliable measure of trunk impairment in the stroke population

Enhancing quality of life in progressive multiple sclerosis with powered robotic exoskeleton

An Asian-centric human movement database capturing activities of daily living

Fall inducing movable platform (FIMP) for overground trips and slips

Normative and Stroke Human Movement Database: Potential For Predicting Recovery

Collaborators (5)

Simone Kager

Lorenzo Masia

Phyllis Liang

Jane Burridge

Dino Accoto

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