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Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
Published on: May 12, 2016
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Frailty assessment based on trunk kinematic parameters during walking.
Alicia Martínez-Ramírez1, Ion Martinikorena2, Marisol Gómez3
1Mathematics Department, Public University of Navarra, Campus de Arrosadía, 31006, Pamplona, Navarra, Spain. alicia.martinez@unavarra.es.
Journal of Neuroengineering and Rehabilitation
|May 25, 2015
Summary
Gait analysis using trunk acceleration signals can improve the classification of physical frailty in older adults. This method enhances accuracy beyond just gait velocity, aiding early detection and intervention for pre-frail individuals.
Area of Science:
- Gerontology and Biomechanics
- Clinical Assessment and Predictive Modeling
Background:
- Physical frailty affects 20% of individuals over 75, posing significant health challenges.
- Identifying markers to distinguish between robust and vulnerable elderly individuals is crucial.
- Gait analysis is a recognized tool for predicting frailty.
Purpose of the Study:
- To determine if trunk acceleration signals offer additional insights into frailty syndrome.
- To investigate the efficacy of gait parameters beyond velocity for frailty classification.
Main Methods:
- 718 elderly participants (mean age 75.4 years) underwent a 3-m walk test.
- Kinematic data were collected using a tri-axial inertial orientation tracker.
- Spatio-temporal and frequency gait parameters were analyzed.
Main Results:
- Gait parameters derived from inertial sensors showed significant differences between frail, pre-frail, and robust groups.
- Incorporating these gait parameters improved frailty classification accuracy compared to using gait velocity alone.
Conclusions:
- Combined gait parameters and gait velocity enhance the accuracy of frailty classification.
- This approach facilitates early detection of pre-frailty and supports non-laboratory assessments for potential intervention.
