Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test
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 acti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/7/1647 |
| _version_ | 1818015024475537408 |
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| author | Paulina Ortega-Bastidas Pablo Aqueveque Britam Gómez Francisco Saavedra Roberto Cano-de-la-Cuerda |
| author_facet | Paulina Ortega-Bastidas Pablo Aqueveque Britam Gómez Francisco Saavedra Roberto Cano-de-la-Cuerda |
| author_sort | Paulina Ortega-Bastidas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T06:52:36Z |
| format | Article |
| id | doaj.art-9b7632dd9a7646abaa215b7c224534a9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T06:52:36Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9b7632dd9a7646abaa215b7c224534a92022-12-22T02:07:00ZengMDPI AGSensors1424-82202019-04-01197164710.3390/s19071647s19071647Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go TestPaulina Ortega-Bastidas0Pablo Aqueveque1Britam Gómez2Francisco Saavedra3Roberto Cano-de-la-Cuerda4Kinesiology Department, Faculty of Medicine, Universidad de Concepción, 4030000 Concepcion, ChileElectrical Engineering Department, Faculty of Engineering, Universidad de Concepción, 219 Edmundo Larenas St., 4030000 Concepción, ChileElectrical Engineering Department, Faculty of Engineering, Universidad de Concepción, 219 Edmundo Larenas St., 4030000 Concepción, ChileElectrical Engineering Department, Faculty of Engineering, Universidad de Concepción, 219 Edmundo Larenas St., 4030000 Concepción, ChilePhysiotherapy, Occupational Therapy, Rehabilitation and Physical Medicine Department, Universidad Rey Juan Carlos, 28922 Madrid, SpainFalls 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.https://www.mdpi.com/1424-8220/19/7/1647timed up &go testactivity segmentationinertial sensors |
| spellingShingle | Paulina Ortega-Bastidas Pablo Aqueveque Britam Gómez Francisco Saavedra Roberto Cano-de-la-Cuerda Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test Sensors timed up & go test activity segmentation inertial sensors |
| title | Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test |
| title_full | Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test |
| title_fullStr | Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test |
| title_full_unstemmed | Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test |
| title_short | Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test |
| title_sort | use of a single wireless imu for the segmentation and automatic analysis of activities performed in the 3 m timed up amp go test |
| topic | timed up & go test activity segmentation inertial sensors |
| url | https://www.mdpi.com/1424-8220/19/7/1647 |
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