Validation of a Commercially Available IMU-Based System Against an Optoelectronic System for Full-Body Motor Tasks.

Sensors (Basel)

Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy.

Published: June 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Inertial measurement units (IMUs) have gained popularity as portable and cost-effective alternatives to optoelectronic motion capture systems for assessing joint kinematics. This study aimed to validate a commercially available multi-sensor IMU-based system against a laboratory-grade motion capture system across lower limb, trunk, and upper limb movements. Fifteen healthy participants performed a battery of single- and multi-joint tasks while motion data were simultaneously recorded by both systems. Range of motion (ROM) values were extracted from the two systems and compared. The IMU-based system demonstrated high concurrent validity, with non-significant differences in most tasks, root mean square error values generally below 7°, percentage of similarity greater than 97%, and strong correlations ( ≥ 0.77) with the reference system. Systematic biases were trivial (≤3.9°), and limits of agreement remained within clinically acceptable thresholds. The findings indicate that the tested IMU-based system provides ROM estimates statistically and clinically comparable to those obtained with optical reference systems. Given its portability, ease of use, and affordability, the IMU-based system presents a promising solution for motion analysis in both clinical and remote rehabilitation contexts, although future research should extend validation to pathological populations and longer monitoring periods.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12196846PMC
http://dx.doi.org/10.3390/s25123736DOI Listing

Publication Analysis

Top Keywords

imu-based system
20
system
8
motion capture
8
imu-based
5
motion
5
validation commercially
4
commercially imu-based
4
system optoelectronic
4
optoelectronic system
4
system full-body
4

Similar Publications

The growing proportion of older adults in the population necessitates improved methods for assessing functional recovery. Objective, continuous monitoring using wearable sensors offers a promising alternative to traditional, often subjective assessments. This study aimed to investigate the utility of inertial measurement unit (IMU)-based data, combined with deep learning, to predict postoperative mobility, activities of daily living, and discharge destination in older adults following surgery.

View Article and Find Full Text PDF

Parkinson's disease (PD) is one of the most common progressive neurodegenerative disorder, for which early detection and precise rehabilitation planning are essential to alleviate its impact on quality of life and reduce societal burden. Accurate, automated PD subtype classification and staging play a key role in designing effective rehabilitation strategies while minimizing reliance on intensive expert assessments. Unlike existing automated methods that typically depend on high-cost medical imaging (e.

View Article and Find Full Text PDF

Shaken Baby Syndrome (SBS) is one of the primary causes of fatal head trauma in infants and young children, occurring in about 33 per 100,000 infants annually in the U.S., with mortality rates being between 15% and 38%.

View Article and Find Full Text PDF

Introduction: People with diabetes tend to show abnormalities in gait parameters, including walking speed and stride length, relative to those without diabetes. While inertial measurement units (IMUs) provide a portable alternative to optical motion capture systems, the reliability of gait analysis is influenced by factors such as walking distance, timing, and examiner differences. However, the impact of these parameters on gait analysis in patients with type 2 diabetes (T2D) remains unclear.

View Article and Find Full Text PDF

Objective: Walking on irregular terrains is a common situation in everyday life. The accurate detection of gait events is of paramount importance for characterizing and analyzing gait. While several algorithms have been proposed for gait timing estimation on flat terrains, an assessment of their performance on ecological-like terrains is still lacking.

View Article and Find Full Text PDF