Clinical Static Balance Assessment: A Narrative Review of Traditional and IMU-Based Posturography in Older Adults and Individuals with Incomplete Spinal Cord Injury

Sensors (Basel). 2023 Nov 1;23(21):8881. doi: 10.3390/s23218881.

Abstract

Maintaining a stable upright posture is essential for performing activities of daily living, and impaired standing balance may impact an individual's quality of life. Therefore, accurate and sensitive methods for assessing static balance are crucial for identifying balance impairments, understanding the underlying mechanisms of the balance deficiencies, and developing targeted interventions to improve standing balance and prevent falls. This review paper first explores the methods to quantify standing balance. Then, it reviews traditional posturography and recent advancements in using wearable inertial measurement units (IMUs) to assess static balance in two populations: older adults and those with incomplete spinal cord injury (iSCI). The inclusion of these two groups is supported by their large representation among individuals with balance impairments. Also, each group exhibits distinct aspects in balance assessment due to diverse underlying causes associated with aging and neurological impairment. Given the high vulnerability of both demographics to balance impairments and falls, the significance of targeted interventions to improve standing balance and mitigate fall risk becomes apparent. Overall, this review highlights the importance of static balance assessment and the potential of emerging methods and technologies to improve our understanding of postural control in different populations.

Keywords: IMU-based posturography; balance; incomplete spinal cord injury; older adults; postural stability; posturography; static balance assessment.

Publication types

  • Review

MeSH terms

  • Activities of Daily Living*
  • Aged
  • Aging
  • Humans
  • Physical Therapy Modalities
  • Postural Balance
  • Quality of Life
  • Spinal Cord Injuries*

Grants and funding

This work was financially supported by the Natural Sciences and Engineering Research Council of Canada (Grant: RGPIN-2016-04106) and the University of Alberta. Alireza Noamani was also supported by Alberta Innovates Graduate Student Scholarship.