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. 2024 May 4;7(3):39.
doi: 10.3390/mps7030039.

A Protocol for Comprehensive Analysis of Gait in Individuals with Incomplete Spinal Cord Injury

Affiliations

A Protocol for Comprehensive Analysis of Gait in Individuals with Incomplete Spinal Cord Injury

Emelie Butler Forslund et al. Methods Protoc. .

Abstract

This is a protocol for comprehensive analysis of gait and affecting factors in individuals with incomplete paraplegia due to spinal cord injury (SCI). A SCI is a devastating event affecting both sensory and motor functions. Due to better care, the SCI population is changing, with a greater proportion retaining impaired ambulatory function. Optimizing ambulatory function after SCI remains challenging. To investigate factors influencing optimal ambulation, a multi-professional research project was grounded with expertise from clinical rehabilitation, neurophysiology, and biomechanical engineering from Karolinska Institutet, the Spinalis Unit at Aleris Rehab Station (Sweden's largest center for specialized neurorehabilitation), and the Promobilia MoveAbility Lab at KTH Royal Institute of Technology. Ambulatory adults with paraplegia will be consecutively invited to participate. Muscle strength, sensitivity, and spasticity will be assessed, and energy expenditure, 3D movements, and muscle function (EMG) during gait and submaximal contractions will be analyzed. Innovative computational modeling and data-driven analyses will be performed, including the identification of clusters of similar movement patterns among the heterogeneous population and analyses that study the link between complex sensorimotor function and movement performance. These results may help optimize ambulatory function for persons with SCI and decrease the risk of secondary conditions during gait with a life-long perspective.

Keywords: EMG; ambulation; gait; machine learning; movement analysis; paraplegia; predictive modeling.

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Conflict of interest statement

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

Figure 1
Figure 1
Overview of areas of interest for the project.
Figure 2
Figure 2
Overview of data collection at Rehab Station and Promobilia MoveAbility Lab.

References

    1. Lee B.B., Cripps R., New P., Fitzharris M., Noonan V., Hagen E.M., Chen Y., Pagliacci M.C., Chhabra H.S. Demographic profile of spinal cord injury, Ch. 3. In: Chhabra H.S., editor. ISCoS Textbook on Comprehensive Management of Spinal Cord Injuries. Wolters Kluwer; New Delhi, India: 2015. pp. 36–52.
    1. New P.W., Cripps R.A., Bonne Lee B. Global maps of non-traumatic SCI epidemiology: Towards a living data repository. Spinal Cord. 2014;52:97–109. doi: 10.1038/sc.2012.165. - DOI - PubMed
    1. Harvey L.A., Somers M.F., Glinsky J. Physiotherapy management, Ch. 34. In: Chhabra H.S., editor. ISCoS Textbook on Comprehensive Management of Spinal Cord Injuries. Wolters Kluwer; New Delhi, India: 2015. pp. 514–537.
    1. Crozier K.S., Cheng L.L., Graziani V., Zorn G., Herbison G., Ditunno J.F., Jr. Spinal cord injury: Prognosis for ambulation based on quadriceps recovery. Paraplegia. 1992;30:762–767. doi: 10.1038/sc.1992.147. - DOI - PubMed
    1. Scivoletto G., Di Donna V. Prediction of walking recovery after spinal cord injury. Brain Res. Bull. 2009;78:43–51. doi: 10.1016/j.brainresbull.2008.06.002. - DOI - PubMed

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