Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs
An early detection of functional decline with age is important to start interventions at an early state and to prolong the functional fitness. In order to assure such an early detection, functional assessments must be conducted on a frequent and regular basis. Since the five time chair rise test (5C...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/19/6/1370 |
| _version_ | 1811301900463636480 |
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| author | Sandra Hellmers Sebastian Fudickar Sandra Lau Lena Elgert Rebecca Diekmann Jürgen M. Bauer Andreas Hein |
| author_facet | Sandra Hellmers Sebastian Fudickar Sandra Lau Lena Elgert Rebecca Diekmann Jürgen M. Bauer Andreas Hein |
| author_sort | Sandra Hellmers |
| collection | DOAJ |
| description | An early detection of functional decline with age is important to start interventions at an early state and to prolong the functional fitness. In order to assure such an early detection, functional assessments must be conducted on a frequent and regular basis. Since the five time chair rise test (5CRT) is a well-established test in the geriatric field, this test should be supported by technology. We introduce an approach that automatically detects the execution of the chair rise test via an inertial sensor integrated into a belt. The system’s suitability was evaluated via 20 subjects aged 72–89 years (78.2 ± 4.6 years) and was measured by a stopwatch, the inertial measurement unit (IMU), a Kinect® camera and a force plate. A Multilayer Perceptrons-based classifier detects transitions in the IMU data with an F1-Score of around 94.8%. Valid executions of the 5CRT are detected based on the correct occurrence of sequential movements via a rule-based model. The results of the automatically calculated test durations are in good agreement with the stopwatch measurements (correlation coefficient r = 0.93 (p < 0.001)). The analysis of the duration of single test cycles indicates a beginning fatigue at the end of the test. The comparison of the movement pattern within one person shows similar movement patterns, which differ only slightly in form and duration, whereby different subjects indicate variations regarding their performance strategies. |
| first_indexed | 2024-04-13T07:17:08Z |
| format | Article |
| id | doaj.art-b6bc8836cfae415084d601000f6d911d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:17:08Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b6bc8836cfae415084d601000f6d911d2022-12-22T02:56:43ZengMDPI AGSensors1424-82202019-03-01196137010.3390/s19061370s19061370Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUsSandra Hellmers0Sebastian Fudickar1Sandra Lau2Lena Elgert3Rebecca Diekmann4Jürgen M. Bauer5Andreas Hein6Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, GermanyAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, GermanyAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, GermanyPeter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, TU Braunschweig, 38106 Braunschweig, GermanyAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, GermanyCenter for Geriatric Medicine, University Heidelberg, 69117 Heidelberg, GermanyAssistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, GermanyAn early detection of functional decline with age is important to start interventions at an early state and to prolong the functional fitness. In order to assure such an early detection, functional assessments must be conducted on a frequent and regular basis. Since the five time chair rise test (5CRT) is a well-established test in the geriatric field, this test should be supported by technology. We introduce an approach that automatically detects the execution of the chair rise test via an inertial sensor integrated into a belt. The system’s suitability was evaluated via 20 subjects aged 72–89 years (78.2 ± 4.6 years) and was measured by a stopwatch, the inertial measurement unit (IMU), a Kinect® camera and a force plate. A Multilayer Perceptrons-based classifier detects transitions in the IMU data with an F1-Score of around 94.8%. Valid executions of the 5CRT are detected based on the correct occurrence of sequential movements via a rule-based model. The results of the automatically calculated test durations are in good agreement with the stopwatch measurements (correlation coefficient r = 0.93 (p < 0.001)). The analysis of the duration of single test cycles indicates a beginning fatigue at the end of the test. The comparison of the movement pattern within one person shows similar movement patterns, which differ only slightly in form and duration, whereby different subjects indicate variations regarding their performance strategies.http://www.mdpi.com/1424-8220/19/6/1370chair rise testmachine learninggeriatric assessmentwearable sensorsIMUfunctional declinesit-to-stand |
| spellingShingle | Sandra Hellmers Sebastian Fudickar Sandra Lau Lena Elgert Rebecca Diekmann Jürgen M. Bauer Andreas Hein Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs Sensors chair rise test machine learning geriatric assessment wearable sensors IMU functional decline sit-to-stand |
| title | Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs |
| title_full | Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs |
| title_fullStr | Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs |
| title_full_unstemmed | Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs |
| title_short | Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs |
| title_sort | measurement of the chair rise performance of older people based on force plates and imus |
| topic | chair rise test machine learning geriatric assessment wearable sensors IMU functional decline sit-to-stand |
| url | http://www.mdpi.com/1424-8220/19/6/1370 |
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