Assessment of Gait Balance Control Using Inertial Measurement Units — A Narrative Review

Abstract

This narrative review examines the use of inertial measurement units (IMUs) for assessing gait balance control. Impaired gait balance control is associated with an increased risk of falls and reduced mobility, particularly in older adults. Traditional methods of assessing gait balance control, such as clinical balance assessments and camera-based motion analysis, have limitations in terms of reliability, cost, and practicality. Wearable sensor technology, including IMUs, offers a more accessible and cost-effective alternative for assessing gait and balance performance in real-world settings. IMUs, equipped with tri-axial accelerometers, gyroscopes, and magnetometers, can directly measure body movement and provide quantifiable data. This review explores the advantages and limitations of using IMUs for assessing gait balance control, including the measurement of anticipatory postural adjustments (APAs) for gait initiation, spatiotemporal gait parameters, center of mass (COM) motion during walking, and data-driven machine learning models. IMUs have shown promise in quantifying APAs, estimating gait spatiotemporal parameters, assessing COM motion, and using machine learning algorithms to classify and predict balance-related outcomes. However, further research is needed to establish standardized protocols, validate IMU-based measurements, and determine the specific IMU parameters that correlate with balance control ability. Overall, IMUs have the potential to be a valuable tool for assessing gait balance control, monitoring changes over time, and tracking interventions to improve balance control in both clinical and research settings.