Alison McGregor

Professor of Musculoskeletal Biodynamics

Imperial College London

United Kingdom

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About

Professor Alison McGregor is a faculty member at Imperial College London, UK. Her research expertise includes musculoskeletal biodynamics, with recent articles covering topics such as gait analysis using advanced technology, self-management of low back pain, and outcomes in patients with laryngotracheal stenosis. She is actively involved in developing clinical practice guidelines and innovative methods for motion capture in biomechanics.

Articles (18)

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2025

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2021

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2021

Collaborators (19)

Helen A McNair

Professor of Translational therapeutic radiography and lead clinical academic radiographer

The Institute of Cancer Research & The Royal Marsden NHS Foundation Trust

UNITED KINGDOM

Alison McGregor

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Articles (18)

Development of a Core Outcome Set for Intervention Studies in Adults With Laryngotracheal Stenosis

Remote Gait Analysis Using Ultra-Wideband Radar Technology Based on Joint Range-Doppler-Time Representation

The voice and swallowing profile of adults with laryngotracheal stenosis before and after reconstructive surgery: A prospective, descriptive observational study

Recent clinical practice guidelines for the management of low back pain: a global comparison

mHealth Apps for the Self-Management of Low Back Pain: Systematic Search in App Stores and Content Analysis

Generative adversarial networks to create synthetic motion capture datasets including subject and gait characteristics

‘I presumed the pain would eventually get better by itself’; challenges with access to rehabilitation for upper limb dysfunction after breast cancer treatment - Descriptive and qualitative findings from a cross-sectional survey

What do we mean by ‘self-management’ for chronic low back pain? A narrative review

Blinding and sham control methods in trials of physical, psychological, and self-management interventions for pain (article I): a systematic review and description of methods

Obtaining patient torso geometry for the design of scoliosis braces. A study of the accuracy and repeatability of handheld 3D scanners

Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets

Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation

Not as simple as "fear of the unknown": A qualitative study exploring anxiety in the radiotherapy department

An open-source musculoskeletal model of the lumbar spine and lower limbs: a validation for movements of the lumbar spine.

Characterising the mould rectification process for designing scoliosis braces: Towards automated digital design of 3d-printed braces

A Visual Feedback Tool for Quantitative Pressure Monitoring in Lower-Limb Prosthetic Sockets

How do physiotherapists solicit and explore patients’ concerns in back pain consultations: a conversation analytic approach

Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data

Collaborators (19)

Helen A McNair

Justin Roe

Jerry Draper-Rodi

Gemma Clunie

Amy Freeman-Sanderson

Andrew T. M. Phillips

shanika Arachchi

Tor Sverre Lande

David Salman

Caroline Yan Zheng

Lea Nørgaard Sørensen

Whitney Scott

Nicolas Newell

Daniel Corcoran

Luca Modenese

Veronika Schoeb

Lene Vase

Timothy Constandinou

Rebecca Quest

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