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Accuracy Evaluation and Clinical Application of an Optimized Solution for Measuring Spatio-Temporal Gait Parameters
- Source :
- MeMeA
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Monitoring spatio-temporal parameters of gait, such as Stride Length, Gait Time and Gait Speed, through inertial measurement units is a research topic of great interest in clinics. Despite the high interest in the field, the development of a high accuracy wearable solution for spatio-temporal parameters assessment in a clinical scenario, suitable for both normal and pathological gait, is still an open challenge. In this study we proposed a novel solution to estimate spatio-temporal parameters through Inertial Measurement Units and an optimized strap-down approach for drift reduction. For the accuracy evaluation three healthy subjects were enrolled. Each subject was equipped with two inertial sensors placed on feet. Subjects were asked to repeat seven walking trials, through the calibration volume of an optoelectronic system, used as a reference. As a clinical application, we used the solution to assess fatigue effects on healthy and pathological subjects considering the 6-Minute Walking Test. Results showed high accuracy in the estimation of spatio-temporal parameters for each subject. The mean relative error of the Stride Length estimation among subjects was 1.1±0.7% and 0.8±0.5% for the left and right side. The clinical application was conducted on a cohort of ten patients with Systemic Sclerosis and ten age-matched healthy adults. Statistical differences were observed between populations in the Stride Length and in the Gait Speed. Moreover, all subjects experienced fatigue effect reporting lower values of spatio-temporal parameters in the last minute, compared to the first one. The excellent results in the accuracy evaluation encourage application of this methodology in normal and in pathological gait monitoring where a low error in the estimation of spatial gait parameters is required.
- Subjects :
- 030203 arthritis & rheumatology
medicine.medical_specialty
Computer science
Walking test
wearable sensors
strap-down integration
stride length
gait speed
6MWT
inertial sensors
Stride length
Pathological gait
Gait speed
03 medical and health sciences
Units of measurement
0302 clinical medicine
Physical medicine and rehabilitation
Gait (human)
Approximation error
Inertial measurement unit
medicine
human activities
030217 neurology & neurosurgery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
- Accession number :
- edsair.doi.dedup.....4db9d5bd8bcba5e8886a63bbd72879d7
- Full Text :
- https://doi.org/10.1109/memea49120.2020.9137305