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Open AccessArticle

Physical Behavior in Older Persons during Daily Life: Insights from Instrumented Shoes

1
Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
2
Centre Hospitalier Universitaire Vaudois (CHUV), Service de gériatrie et réadaptation gériatrique, 1011 Lausanne, Switzerland
*
Author to whom correspondence should be addressed.
Academic Editor: Daniel Teichmann
Sensors 2016, 16(8), 1225; https://doi.org/10.3390/s16081225
Received: 10 April 2016 / Revised: 23 June 2016 / Accepted: 11 July 2016 / Published: 3 August 2016
Activity level and gait parameters during daily life are important indicators for clinicians because they can provide critical insights into modifications of mobility and function over time. Wearable activity monitoring has been gaining momentum in daily life health assessment. Consequently, this study seeks to validate an algorithm for the classification of daily life activities and to provide a detailed gait analysis in older adults. A system consisting of an inertial sensor combined with a pressure sensing insole has been developed. Using an algorithm that we previously validated during a semi structured protocol, activities in 10 healthy elderly participants were recorded and compared to a wearable reference system over a 4 h recording period at home. Detailed gait parameters were calculated from inertial sensors. Dynamics of physical behavior were characterized using barcodes that express the measure of behavioral complexity. Activity classification based on the algorithm led to a 93% accuracy in classifying basic activities of daily life, i.e., sitting, standing, and walking. Gait analysis emphasizes the importance of metrics such as foot clearance in daily life assessment. Results also underline that measures of physical behavior and gait performance are complementary, especially since gait parameters were not correlated to complexity. Participants gave positive feedback regarding the use of the instrumented shoes. These results extend previous observations in showing the concurrent validity of the instrumented shoes compared to a body-worn reference system for daily-life physical behavior monitoring in older adults. View Full-Text
Keywords: activity classification; gait analysis; inertial measurement unit; pressure insole; wearable sensors; behavioral complexity activity classification; gait analysis; inertial measurement unit; pressure insole; wearable sensors; behavioral complexity
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MDPI and ACS Style

Moufawad el Achkar, C.; Lenoble-Hoskovec, C.; Paraschiv-Ionescu, A.; Major, K.; Büla, C.; Aminian, K. Physical Behavior in Older Persons during Daily Life: Insights from Instrumented Shoes. Sensors 2016, 16, 1225. https://doi.org/10.3390/s16081225

AMA Style

Moufawad el Achkar C, Lenoble-Hoskovec C, Paraschiv-Ionescu A, Major K, Büla C, Aminian K. Physical Behavior in Older Persons during Daily Life: Insights from Instrumented Shoes. Sensors. 2016; 16(8):1225. https://doi.org/10.3390/s16081225

Chicago/Turabian Style

Moufawad el Achkar, Christopher; Lenoble-Hoskovec, Constanze; Paraschiv-Ionescu, Anisoara; Major, Kristof; Büla, Christophe; Aminian, Kamiar. 2016. "Physical Behavior in Older Persons during Daily Life: Insights from Instrumented Shoes" Sensors 16, no. 8: 1225. https://doi.org/10.3390/s16081225

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