Assessing the Validity and Reliability of a Single Lumbar-Mounted IMU System for Gait Analysis

Wearable inertial sensors offer a practical alternative to gold-standard optoelectronic systems for gait analysis, though their validity remains uncertain due to sensor placement. This study examined the intra-rater and inter-rater reliability and the concurrent validity of a single lumbar-mounted inertial measurement unit (Baiobit, BTS Bioengineering, Garbagnate Milanese, Italy) compared with a 3D optoelectronic system (SMART-DX 6000, BTS Bioengineering). Thirty healthy adults walked along an 8 m walkway at a self-selected speed, and seven spatiotemporal gait parameters (cadence, velocity, stride length, step length, stance, swing, and single-support phases) were computed by both systems. Reliability and validity were assessed using intraclass correlation coefficients (ICC), standard error of measurement, minimum detectable change, paired tests, Spearman correlation, Passing-Bablok regression, and Bland-Altman analysis. Baiobit showed intra- and inter-rater ICCs of 0.53-0.90 and 0.66-0.88, respectively. Bland-Altman results indicated non-significant biases for global parameters (velocity: -0.06 m/s; cadence: 1.11 steps/min), whereas spatial measures showed significant biases (stride length: 0.11 m; step length: 0.06 m). Gait phase parameters demonstrated low correlations (r = 0.08-0.11) and proportional systematic errors. Overall, the Baiobit system provided reliable and valid estimates of global spatiotemporal parameters but lacked precision for gait phase metrics, underscoring limitations that currently prevent it from fully replacing optoelectronic systems.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2025-12-17
DOI
https://doi.org/10.3390/s25247643
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Validity and Reliability of a Single Lumbar-Mounted IMU System for Gait Analysis

Alfredo Lerín‐Calvo, G. Prisco, Leandro Donisi, Sergio Lerma Lara et al.
Sensors
Balance, Gait, and Falls Prevention
article

Assessing the Validity and Reliability of a Single Lumbar-Mounted IMU System for Gait Analysis

Alfredo Lerín‐Calvo, G. Prisco, Leandro Donisi, Sergio Lerma Lara, Elena Fernández-Maza, Marta Núñez-González, Gema Santiago-Lorrio
article en

Abstract

Wearable inertial sensors offer a practical alternative to gold-standard optoelectronic systems for gait analysis, though their validity remains uncertain due to sensor placement. This study examined the intra-rater and inter-rater reliability and the concurrent validity of a single lumbar-mounted inertial measurement unit (Baiobit, BTS Bioengineering, Garbagnate Milanese, Italy) compared with a 3D optoelectronic system (SMART-DX 6000, BTS Bioengineering). Thirty healthy adults walked along an 8 m walkway at a self-selected speed, and seven spatiotemporal gait parameters (cadence, velocity, stride length, step length, stance, swing, and single-support phases) were computed by both systems. Reliability and validity were assessed using intraclass correlation coefficients (ICC), standard error of measurement, minimum detectable change, paired tests, Spearman correlation, Passing-Bablok regression, and Bland-Altman analysis. Baiobit showed intra- and inter-rater ICCs of 0.53-0.90 and 0.66-0.88, respectively. Bland-Altman results indicated non-significant biases for global parameters (velocity: -0.06 m/s; cadence: 1.11 steps/min), whereas spatial measures showed significant biases (stride length: 0.11 m; step length: 0.06 m). Gait phase parameters demonstrated low correlations (r = 0.08-0.11) and proportional systematic errors. Overall, the Baiobit system provided reliable and valid estimates of global spatiotemporal parameters but lacked precision for gait phase metrics, underscoring limitations that currently prevent it from fully replacing optoelectronic systems.

SensorsVol. 25(24)
University of Molise (IT), University of Campania "Luigi Vanvitelli" (IT), Asociación de Investigación de la Industria Textil (ES), Universidad Autónoma de Madrid (ES)
De La Salle University
Openalex Percentile: Top 41%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.