Clinical Sciences/Health Conditions
Shi-uk Lee, MD
Professor
Seoul National University Boramae Medical Center
Seoul, Seoul-t'ukpyolsi, Republic of Korea
Aenon Lee, PhD
Researcher
TheUnify
Goyang, Kyonggi-do, Republic of Korea
Seongho Jang, PhD
MD
HANYANG UNIVERSITY GURI HOSPITAL
Guri-si, Kyonggi-do, Republic of Korea
Joon Shik Yoon, M.D., Ph.D.
Professor
Korea University Guro Hospital
Guro-gu, Seoul-t'ukpyolsi, Republic of Korea
hasuk Bae, PhD
Professor
Ewha womans university school of medicine
Seoul, Seoul-t'ukpyolsi, Republic of Korea
This study aims to investigate quantitative gait characteristics across all Functional Ambulation Categories (FAC levels 0-5) in stroke survivors using inertial measurement unit (IMU) sensors. We hypothesize that IMU-derived gait parameters will demonstrate distinct biomechanical signatures corresponding to each FAC level, providing objective criteria for more precise functional assessment.
This retrospective observational study analyzed 301 gait assessments from 75 hemiplegic stroke participants recruited from stroke rehabilitation units. Temporal and spatial gait parameters—including stance time, stride time, gait velocity, cadence, and step length—were measured using wearable inertial measurement unit (IMU) sensors. Differences in gait parameters across FAC levels (0–5) were examined using one-way MANOVA, followed by Games–Howell post hoc comparisons, and associations between FAC levels and gait variables were evaluated using Spearman correlation coefficients.
For temporal parameters, large effect sizes (η2 = 0.18–0.38) were observed between FAC 0-2 and FAC 3-5 groups, indicating FAC 3 as a critical transition point from dependent to independent ambulation. Stance time and stride time demonstrated the largest between-group differences (η2= 0.24–0.45), while cadence showed progressive improvements with medium to large effect sizes (η2= 0.11–0.26) across all FAC levels except between FAC 4-5. Gait velocity exhibited large effect sizes (η2 = 0.19–0.31) primarily between lower and higher FAC groups.
IMU-derived temporal gait parameters distinguish functional ambulation levels in stroke survivors and may supplement qualitative FAC assessments with objective metrics.