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Open AccessArticle

Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test

1
Kinesiology Department, Faculty of Medicine, Universidad de Concepción, 4030000 Concepcion, Chile
2
Electrical Engineering Department, Faculty of Engineering, Universidad de Concepción, 219 Edmundo Larenas St., 4030000 Concepción, Chile
3
Physiotherapy, Occupational Therapy, Rehabilitation and Physical Medicine Department, Universidad Rey Juan Carlos, 28922 Madrid, Spain
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(7), 1647; https://doi.org/10.3390/s19071647
Received: 15 February 2019 / Revised: 12 March 2019 / Accepted: 19 March 2019 / Published: 6 April 2019
(This article belongs to the Special Issue Wearable Sensors for Gait and Motion Analysis 2018)
Falls represent a major public health problem in the elderly population. The Timed Up & Go test (TU & Go) is the most used tool to measure this risk of falling, which offers a unique parameter in seconds that represents the dynamic balance. However, it is not determined in which activity the subject presents greater difficulties. For this, a feature-based segmentation method using a single wireless Inertial Measurement Unit (IMU) is proposed in order to analyze data of the inertial sensors to provide a complete report on risks of falls. Twenty-five young subjects and 12 older adults were measured to validate the method proposed with an IMU in the back and with video recording. The measurement system showed similar data compared to the conventional test video recorded, with a Pearson correlation coefficient of 0.9884 and a mean error of 0.17 ± 0.13 s for young subjects, as well as a correlation coefficient of 0.9878 and a mean error of 0.2 ± 0.22 s for older adults. Our methodology allows for identifying all the TU & Go sub–tasks with a single IMU automatically providing information about variables such as: duration of sub–tasks, standing and sitting accelerations, rotation velocity of turning, number of steps during walking and turns, and the inclination degrees of the trunk during standing and sitting. View Full-Text
Keywords: timed up & go test; activity segmentation; inertial sensors timed up & go test; activity segmentation; inertial sensors
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MDPI and ACS Style

Ortega-Bastidas, P.; Aqueveque, P.; Gómez, B.; Saavedra, F.; Cano-de-la-Cuerda, R. Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test. Sensors 2019, 19, 1647.

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