All Outputs (5)

Biomechanical differences between ablebodied and spinal cord injured individuals walking in an overground robotic exoskeleton (2022)
Journal Article
Hayes, S. C., White, M., Wilcox, C. R. J., White, H. S. F., & Vanicek, N. (2022). Biomechanical differences between ablebodied and spinal cord injured individuals walking in an overground robotic exoskeleton. PLoS ONE, 17(1), Article e0262915. https://doi.org/10.1371/journal.pone.0262915

Background Robotic assisted gait training (RAGT) uses a powered exoskeleton to support an individual's body and move their limbs, with the aim of activating latent, pre-existing movement patterns stored in the lower spinal cord called central pattern... Read More about Biomechanical differences between ablebodied and spinal cord injured individuals walking in an overground robotic exoskeleton.

A biomechanical comparison of powered robotic exoskeleton gait with normal and slow walking: An investigation with able-bodied individuals (2020)
Journal Article
Hayes, S. C., White, M., White, H. S. F., & Vanicek, N. (2020). A biomechanical comparison of powered robotic exoskeleton gait with normal and slow walking: An investigation with able-bodied individuals. Clinical biomechanics, 80, Article 105133. https://doi.org/10.1016/j.clinbiomech.2020.105133

Background
Overground lower-limb robotic exoskeletons are assistive devices used to facilitate ambulation and gait rehabilitation. Our understanding of how closely they resemble comfortable and slow walking is limited. This information is important... Read More about A biomechanical comparison of powered robotic exoskeleton gait with normal and slow walking: An investigation with able-bodied individuals.

The classification of minor gait alterations using wearable sensors and deep learning (2019)
Journal Article
Turner, A., & Hayes, S. (2019). The classification of minor gait alterations using wearable sensors and deep learning. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 66(11), 3136-3145. https://doi.org/10.1109/TBME.2019.2900863

Objective: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a... Read More about The classification of minor gait alterations using wearable sensors and deep learning.

The effects of robot assisted gait training on temporal-spatial characteristics of people with spinal cord injuries: a systematic review (2018)
Journal Article
Hayes, S. C., James Wilcox, C. R., Forbes White, H. S., & Vanicek, N. (2018). The effects of robot assisted gait training on temporal-spatial characteristics of people with spinal cord injuries: a systematic review. The journal of spinal cord medicine : JSCM, 41(5), 529-543. https://doi.org/10.1080/10790268.2018.1426236

Context: Robotic assisted gait training (RAGT) technology can be used as a rehabilitation tool or as an assistive device for spinal cord injured (SCI) individuals. Its impact on upright stepping characteristics of SCI individuals using treadmill or o... Read More about The effects of robot assisted gait training on temporal-spatial characteristics of people with spinal cord injuries: a systematic review.

The test-retest reliability of four functional mobility tests in apparently healthy adults (2016)
Journal Article
Northgraves, M. J., Hayes, S. C., Marshall, P., Madden, L. A., & Vince, R. V. (2016). The test-retest reliability of four functional mobility tests in apparently healthy adults. Isokinetics and Exercise Science, 24(3), 171-179. https://doi.org/10.3233/ies-160614

Background: Simple field tests are often used to assess functional mobility in clinical settings. Despite having many benefits, these tests are susceptible to measurement error and individual variation. Objectives: To examine the test-retest and abso... Read More about The test-retest reliability of four functional mobility tests in apparently healthy adults.