Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and healthy older adults

Autor: Laura Avanzino, Pieter Ginis, Silvia Del Din, Andrea Cereatti, Jeffrey M. Hausdorff, Diana Trojaniello, Ugo Della Croce, Matilde Bertoli, Elisa Pelosin, Anat Mirelman, Esther M.J. Bekkers, Lynn Rochester
Rok vydání: 2018
Předmět:
Male
Inertial frame of reference
Clinical gait analysis
Elderly
Magneto-inertial sensors
Multicentric study
Parkinson
Spatial and temporal gait parameters
Wearable sensors
Aged
Aged
80 and over
Case-Control Studies
Cognitive Dysfunction
Female
Humans
Parkinson Disease
Spatio-Temporal Analysis
Gait
Magnetic Phenomena
Signal Processing
Computer-Assisted
02 engineering and technology
Units of measurement
Computer-Assisted
0302 clinical medicine
Gait (human)
Nuclear Medicine and Imaging
80 and over
Range (statistics)
Mathematics
education.field_of_study
Radiological and Ultrasound Technology
Signal Processing
Computer-Assisted Biomedical Engineering
General Medicine
lcsh:R855-855.5
Radiology
medicine.medical_specialty
lcsh:Medical technology
0206 medical engineering
Population
Biomedical Engineering
STRIDE
Biomaterials
03 medical and health sciences
Physical medicine and rehabilitation
medicine
Radiology
Nuclear Medicine and imaging
education
Estimation
Research
Computer-Assisted Biomedical Engineering
020601 biomedical engineering
Preferred walking speed
Signal Processing
030217 neurology & neurosurgery
Zdroj: BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-14 (2018)
BioMedical Engineering
ISSN: 1475-925X
DOI: 10.1186/s12938-018-0488-2
Popis: 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% (Conclusions: The TEADRIP method was effectively validated on a large number of healthy and pathological subjects recorded in four different clinical centers. Results showed that the spatio-temporal parameters estimation errors were consistent with those previously found on smaller population samples in a single center. The combination of robustness and range of applicability suggests the use of the TEADRIP as a suitable MIMU-based method for gait spatio-temporal parameter estimate in the routine clinical use. The present paper was awarded the "SIAMOC Best Methodological Paper 2017".
Databáze: OpenAIRE
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