Abstract:
BACKGROUND:Physical frailty has become the center of attention of basic, clinical and demographic research due to its incidence level and gravity of adverse outcomes with age. Frailty syndrome is estimated to affect 20 % of the population older than 75 years. Thus, one of the greatest current challenges in this field is to identify parameters that can discriminate between vulnerable and robust subjects. Gait analysis has been widely used to predict frailty. The aim of the present study was to investigate whether a collection of parameters extracted from the trunk acceleration signals could provide additional accurate information about frailty syndrome. METHODS:A total of 718 subjects from an elderly population (319 males, 399 females; age: 75.4 ± 6.1 years, mass: 71.8 ± 12.4 kg, height: 158 ± 6 cm) volunteered to participate in this study. The subjects completed a 3-m walk test at their own gait velocity. Kinematic data were acquired from a tri-axial inertial orientation tracker. FINDINGS:The spatio-temporal and frequency parameters measured in this study with an inertial sensor are related to gait disorders and showed significant differences among groups (frail, pre-frail and robust). A selection of those parameters improves frailty classification obtained to gait velocity, compared to classification model based on gait velocity solely. INTERPRETATION:Gait parameters simultaneously used with gait velocity are able to provide useful information for a more accurate frailty classification. Moreover, this technique could improve the early detection of pre-frail status, allowing clinicians to perform measurements outside of a laboratory environment with the potential to prescribe a treatment for reversing their physical decline.
journal_name
J Neuroeng Rehabiljournal_title
Journal of neuroengineering and rehabilitationauthors
Martínez-Ramírez A,Martinikorena I,Gómez M,Lecumberri P,Millor N,Rodríguez-Mañas L,García García FJ,Izquierdo Mdoi
10.1186/s12984-015-0040-6subject
Has Abstractpub_date
2015-05-24 00:00:00pages
48issn
1743-0003pii
10.1186/s12984-015-0040-6journal_volume
12pub_type
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