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Multi-segment kinematic model to assess three-dimensional movement of the spine and back during gait.

NEEDHAM, Robert, NAEMI, Roozbeh, HEALY, Aoife and CHOCKALINGAM, Nachiappan (2016) Multi-segment kinematic model to assess three-dimensional movement of the spine and back during gait. Prosthetics and orthotics international, 40 (5). pp. 624-635. ISSN 1746-1553

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Needham et al. (2016). Multi-segment kinematic model to assess three-dimensional movement of the spine and back during gait.pdf - AUTHOR'S ACCEPTED Version (default)

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Abstract or description

BACKGROUND

Relatively little is known about spine during gait compared to movement analysis of the lower extremities. The trunk is often regarded and analysed as a single rigid segment and there is a paucity of information on inter-segmental movement within the spine and its relationship to pelvis and lower limbs.

OBJECTIVES

To develop and validate a new multi-segment kinematic model to assess regional three-dimensional movement of the lumbar, lower thoracic and upper thoracic spine during gait.

STUDY DESIGN

Observational study.

METHODS

The study was conducted in two parts: (1) to provide validation measures on the kinematic model built in commercially available software and (2) to apply the marker configuration to the spine at T3, T8 and L3 during gait analysis on 10 healthy male volunteers.

RESULTS

Proposed model revealed excellent concurrent validation measures between an applied input angle to the recorded output angle from the kinematic model. A high reliability was observed during gait analysis, both during a single session and between sessions for all participants.

CONCLUSION

The thoracic region of the spine should not be modelled as a single rigid segment and the proposed three-dimensional cluster is reliable and repeatable to assess the inter-segmental movement of the spine.

CLINICAL RELEVANCE

Reliable kinematic data can be collected using the three-dimensional cluster technique, thus, allowing researchers to accurately distinguish between movement patterns of healthy individuals to those with a clinical condition, and provide confidence in data acquisition during the monitoring process of an implemented rehabilitation intervention programme.

Item Type: Article
Faculty: Previous Faculty of Health Sciences > Psychology, Sport and Exercise
Depositing User: Nachiappan CHOCKALINGAM
Date Deposited: 21 Sep 2016 11:44
Last Modified: 24 Feb 2023 13:43
URI: https://eprints.staffs.ac.uk/id/eprint/2435

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