Validation of Walking Speed Estimation from Trunk Mounted Accelerometers for a Range of Walking Speeds
| Autor: | Kim Delbaere, Andreas Ejupi, Lieke G. E. Cox, Janneke Annegarn, Alberto G. Bonomi, Sietse M. Rispens |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
medicine.medical_specialty Walking 030204 cardiovascular system & hematology Accelerometer lcsh:Chemical technology Biochemistry Article speed estimation Analytical Chemistry Inverted pendulum 03 medical and health sciences symbols.namesake 0302 clinical medicine Physical medicine and rehabilitation Accelerometry medicine Range (statistics) Humans lcsh:TP1-1185 Electrical and Electronic Engineering Treadmill Instrumentation Gait Mathematics Aged Aged 80 and over Trunk Adaptation Physiological Atomic and Molecular Physics and Optics Pearson product-moment correlation coefficient Walking Speed Preferred walking speed accelerometer Reference values symbols Exercise Test slow walking human activities 030217 neurology & neurosurgery inverted pendulum |
| Zdroj: | Sensors, Vol 21, Iss 1854, p 1854 (2021) Sensors (Basel, Switzerland) Sensors Volume 21 Issue 5 |
| ISSN: | 1424-8220 |
| Popis: | Walking speed is a strong indicator of the health status of older people and patients. Using algorithms, the walking speed can be estimated from wearable accelerometers, which enables minimally obtrusive (longitudinal) monitoring. We evaluated the performance of two algorithms, the inverted pendulum (IP) algorithm, and a novel adaptation correcting for lateral step movement, which aimed to improve accuracy during slow walking. To evaluate robustness, we gathered data from different groups (healthy adults, elderly, and elderly patients) of volunteers (n = 159) walking under various conditions (over ground, treadmill, using walking aids) at a broad range of speeds (0.11–1.93 m/s). Both of the algorithms showed good agreement with the reference values and similar root-mean-square errors (RMSEs) for walking speeds ≥0.5 m/s, which ranged from 0.09–0.16 m/s for the different positions, in line with the results from others. However, for slower walking, RMSEs were significantly better for the new method (0.06–0.09 m/s versus 0.15–0.19 m/s). Pearson correlation improved for speeds < 0.5 m/s (from 0.67–0.72 to 0.73–0.82) as well as higher speeds (0.87–0.97 to 0.90–0.98) with the new method. Overall, we found that IP(-based) walking speed estimation proved to be applicable for a variety of wearing positions, conditions and speeds, indicating its potential value for health assessment applications. |
| Databáze: | OpenAIRE |
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