ORCID: https://orcid.org/0000-0002-6287-6206
(2024):
Reliability testing of an IMU-based 2-segment foot model for clinical gait analysis.
In: Gait & Posture, Bd. 114: S. 112-118
[PDF, 4MB]

Abstract
Background The one of the most commonly used reference system for clinical gait analysis is an optical motion capture system (OMC) using a multi-segment foot model. A time- and cost-efficient alternative could be an inertial measurement unit (IMU)-based systems. However, these are limited to a single segment approach for the foot and ankle. Therefore, the current setup was modified to be based on a 2-segment foot model, allowing for a separate analysis of the hind- and midfoot. The study aimed to evaluate the reliability (inter-rater, intra-rater, and test-retest reliability) of an IMU-based 2-segment foot model.
Material and methods Twelve healthy subjects were recruited to test the inter-rater, intra-rater, and test-retest reliability of the new IMU based 2-segment foot model. Gait analysis was performed on a treadmill at a constant speed of 4 km/h. Kinematic data of the tibia/hindfoot, tibia/forefoot and hindfoot/forefoot over 100 % gait cycle were analyzed. The reliability was tested by using statistical parametric mapping (SPM) and the intraclass correlation coefficient (ICC).
Results The SPM showed no significant difference for inter-, intra-rater, and test-retest reliability, but for a small segment of tibia/forefoot dorsiflexion test-retest reliability (2.1° difference). The single standard deviation measurement error for the sagittal and transverse plane was <5° and worse for the frontal plane.
Conclusion The new 2-segment foot model revealed a high inter-rater, intra-rater, and test-retest reliability. It is suitable for use in adult clinical practice. Still, comparative data to the OMC system using a multi-segment foot model are missing.
Dokumententyp: | Zeitschriftenartikel |
---|---|
Fakultät: | Medizin > Klinikum der LMU München > MUM - Muskuloskelettales Universitätszentrum München |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-125388-4 |
ISSN: | 09666362 |
Sprache: | Englisch |
Dokumenten ID: | 125388 |
Datum der Veröffentlichung auf Open Access LMU: | 12. Mai 2025 15:55 |
Letzte Änderungen: | 12. Mai 2025 15:55 |