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Research Article

Validation of inertial measurement units for the assessment of trunk control in subjects with spinal cord injury

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Pages 154-163 | Published online: 06 Oct 2021
 

Abstract

Background:

Trunk control (TC) constitutes one of the main objectives in the rehabilitation of people with a spinal cord injury (SCI), but there are few clinically validated tests to assess it. Accelerometers have been proposed as sensitive and suitable procedures to assess TC.

Objective:

To evaluate test–retest reliability, construct and criterion validity of accelerometer parameters to assess TC in people with SCI.

Methods:

A cross-sectional study of simultaneous application of Clinical Trunk Control Test (CTCT) and accelerometer evaluation was conducted. Accelerometers were placed on the trunks of 27 people with SCI and 15 people without SCI. Reliability was assessed by three repeated measures in random order of selected static and dynamic TC tasks. Acceleration on three axes was analyzed using five metrics. Criterion validity was assessed by analyzing correlation of acceleration to CTCT scores. Construct validity was assessed by analyzing capacity of inertial measurement units (IMU) to differentiate individual’s characteristics, ASIA Impairment scale, gait capacity, level of TC, and neurological level of injury.

Results:

Reliable IMU data were obtained in people with SCI and without SCI, of all accelerometer axes, metrics, and tested items of the CTCT. Reliability of acceleration decreases with the increasing demand for TC tasks. Ten acceleration parameters showed construct and criterion validity.

Conclusion:

Accelerometer parameters are reliable, valid, and sensitive to evaluate TC in people with SCI.

Significance:

A set of IMU parameters were validated as reliable and valid measures to evaluate TC, which could be useful for the assessment of progression of people with SCI and clinical interventions.

Acknowledgements

The authors thank to Sandra Bejarano Jiménez for her help in the collection and tag of accelerometer data.

Disclaimer statements

Contributors Alberto Isaac Pérez-Sanpablo: Conceptualization, Methodology, Software, Formal analysis, Data Curation, Writing-Original Draft, Visualization, Supervision, Project administration. Jimena Quinzaños-Fresnedo: Conceptualization, Methodology, Verification, Writing-Original Draft, Visualization, Supervision, Project administration. Marco Romero-Ixlta: Investigation, Writing-Original Draft, Visualization. Ana Valeria Aguirre-Güemez: Writing – Review & Editing. Gerardo Rodríguez-Reyes: Writing – Review & Editing. Ramiro Pérez-Zavala: Resources, Writing – Review & Editing, Supervision. Aida Barrera-Ortiz: Resources, Writing – Review & Editing, Supervision. Yannick Quijano-González: Resources, Writing – Review & Editing.

Conflict of Interest Authors have no conflicts of interest to declare.

Additional information

Funding

None.

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