| Autor: |
Matilde Bertoli, Andrea Cereatti, Diana Trojaniello, Laura Avanzino, Elisa Pelosin, Silvia Del Din, Lynn Rochester, Pieter Ginis, Esther M. J. Bekkers, Anat Mirelman, Jeffrey M. Hausdorff, Ugo Della Croce |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-14 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
1475-925X |
| DOI: |
10.1186/s12938-018-0488-2 |
| Popis: |
Abstract Background The use of miniaturized magneto-inertial measurement units (MIMUs) allows for an objective evaluation of gait and a quantitative assessment of clinical outcomes. Spatial and temporal parameters are generally recognized as key metrics for characterizing gait. Although several methods for their estimate have been proposed, a thorough error analysis across different pathologies, multiple clinical centers and on large sample size is still missing. The aim of this study was to apply a previously presented method for the estimate of spatio-temporal parameters, named Trusted Events and Acceleration Direct and Reverse Integration along the direction of Progression (TEADRIP), on a large cohort (236 patients) including Parkinson, mildly cognitively impaired and healthy older adults collected in four clinical centers. Data were collected during straight-line gait, at normal and fast walking speed, by attaching two MIMUs just above the ankles. The parameters stride, step, stance and swing durations, as well as stride length and gait velocity, were estimated for each gait cycle. The TEADRIP performance was validated against data from an instrumented mat. Results Limits of agreements computed between the TEADRIP estimates and the reference values from the instrumented mat were − 27 to 27 ms for Stride Time, − 68 to 44 ms for Stance Time, − 31 to 31 ms for Step Time and − 67 to 52 mm for Stride Length. For each clinical center, the mean absolute errors averaged across subjects for the estimation of temporal parameters ranged between 1 and 4%, being on average less than 3% ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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