REZAUL BEGG

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Professor

Victoria University

Australia

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About

Professor Rezaul Begg is a faculty member at Victoria University in Australia, specializing in biomechanics and fall prediction in older adults. His recent research includes studies on balance perturbation, visual feedback effects, and muscle activity correlations during walking among different populations. Furthermore, he explores the implications of assistive device design and gait analysis through innovative machine learning models to enhance mobility and safety for individuals with specific health conditions.

Recent Grants

Grant: Close

Assistive Technologies

Open Date: 2016-06-01

Close Date: 2018-12-01

Grant: Close

Can Real-time Biofeedback of Foot Clearance Data be used to Assist with Gait Rehabilitation following Stroke?

Open Date: 2016-01-01

Close Date: 2019-01-01

Grant: Close

Neuromuscular control of walking in the elderly

Open Date: 2016-01-01

Close Date: 2018-12-31

Grant: Close

Non-invasive assessment of hip fracture risk in elderly people

Open Date: 2010-01-01

Close Date: 2012-12-31

Grant: Close

Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract

Open Date: 2009-01-01

Close Date: 2012-12-31

Articles (20)

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AUSTRALIA

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REZAUL BEGG

Research Interests

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Contact this professor

About

Recent Grants

Articles (20)

Predicting falls from biomechanical response to balance perturbation in older adults with knee osteoarthritis, an exploratory study

Immediate effects of visual feedback on the accuracy of foot landing adjustments in older people with diabetes mellitus: A cross-sectional study

Inter-lower limb and intra-lower limb muscle activity correlations during walking: A comparative study of stroke patients and healthy individuals

Biomechanical adaptation to compensate balance recovery in people with knee osteoarthritis

Comparative Analysis of 3D Shank Kinematics During Walking: Stroke Patients Versus Healthy Individuals

A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) Heights

The highs and lows of lifting loads: SPM analysis of multi-segmental spine angles in healthy adults during manual handling with increased load

The ankle dorsiflexion kinetics demand to increase swing phase foot-ground clearance: implications for assistive device design and energy demands

Enhancing Intelligent Shoes with Gait Analysis: A Review on the Spatiotemporal Estimation Techniques

Predicting improvement in biofeedback gait training using short-term spectral features from minimum foot clearance data

State-of-the-Art Review on Wearable Obstacle Detection Systems Developed for Assistive Technologies and Footwear

Using Deep Learning to Predict Minimum Foot–Ground Clearance Event from Toe-Off Kinematics

Feasibility of Pilates for Late-Stage Frail Older Adults to Minimize Falls and Enhance Cognitive Functions

Application of Wearable Sensors in Actuation and Control of Powered Ankle Exoskeletons: A Comprehensive Review

Developments in Smart Multi-Function Gait Assistive Devices for the Prevention and Treatment of Knee Osteoarthritis—A Literature Review

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

A cross-sectional study of foot-ground clearance in healthy community dwelling Japanese cohorts aged 50, 60 and 70 years

A shoe-insole to improve ankle joint mechanics for injury prevention among older adults

Prediction of gait trajectories based on the Long Short Term Memory neural networks

Ageing-Related Gait Adaptations to Knee Joint Kinetics: Implications for the Development of Knee Osteoarthritis

Collaborators (5)

Daniel Lai

maria prokofieva

Soheil Bajelan

Alessandro Garofolini

Hanatsu Nagano

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