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Article

Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor

by
Antonino Casabona
1,2,*,†,
Maria Stella Valle
1,2,†,
Giulia Rita Agata Mangano
1 and
Matteo Cioni
1
1
Laboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
2
Section of Physiology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2022, 22(13), 5001; https://doi.org/10.3390/s22135001
Submission received: 31 May 2022 / Revised: 26 June 2022 / Accepted: 29 June 2022 / Published: 2 July 2022

Abstract

Studies on gait symmetry in healthy population have mainly been focused on small range of age categories, neglecting Teenagers (13–18 years old) and Middle-Aged persons (51–60 years old). Moreover, age-related effects on gait symmetry were found only when the symmetry evaluation was based on whole-body acceleration than on spatiotemporal parameters of the gait cycle. Here, we provide a more comprehensive analysis of this issue, using a Symmetry Index (SI) based on whole-body acceleration recorded on individuals aged 6 to 84 years old. Participants wore a single inertial sensor placed on the lower back and walked for 10 m at comfortable, slow and fast speeds. The SI was computed using the coefficient of correlation of whole-body acceleration measured at right and left gait cycles. Young Adults (19–35 years old) and Adults (36–50 years old) showed stable SI over the three speed conditions, while Children (6–12 years old), Teenagers (13–18 years old), Middle-Aged persons and Elderly (61–70 and 71–84 years old) exhibited lower SI values when walking at fast speed. Overall, this study confirms that whole-body gait symmetry is lower in Children and in Elderly persons over 60 years of age, showing, for the first time, that asymmetries appear also during teenage period and in Middle-Aged persons (51–60 years old).
Keywords: aging; wearable sensor; symmetry index; speed; anterior-posterior acceleration; spatiotemporal parameters; locomotion aging; wearable sensor; symmetry index; speed; anterior-posterior acceleration; spatiotemporal parameters; locomotion

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MDPI and ACS Style

Casabona, A.; Valle, M.S.; Mangano, G.R.A.; Cioni, M. Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor. Sensors 2022, 22, 5001. https://doi.org/10.3390/s22135001

AMA Style

Casabona A, Valle MS, Mangano GRA, Cioni M. Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor. Sensors. 2022; 22(13):5001. https://doi.org/10.3390/s22135001

Chicago/Turabian Style

Casabona, Antonino, Maria Stella Valle, Giulia Rita Agata Mangano, and Matteo Cioni. 2022. "Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor" Sensors 22, no. 13: 5001. https://doi.org/10.3390/s22135001

APA Style

Casabona, A., Valle, M. S., Mangano, G. R. A., & Cioni, M. (2022). Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor. Sensors, 22(13), 5001. https://doi.org/10.3390/s22135001

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