Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults
Due to the increasing age of the European population, there is a growing interest in performing research that will aid in the timely and unobtrusive detection of emerging diseases. For such tasks, mobile devices have several sensors, facilitating the acquisition of diverse data. This study focuses o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/12/3481 |
| _version_ | 1797564657104322560 |
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| author | Vasco Ponciano Ivan Miguel Pires Fernando Reinaldo Ribeiro María Vanessa Villasana Rute Crisóstomo Maria Canavarro Teixeira Eftim Zdravevski |
| author_facet | Vasco Ponciano Ivan Miguel Pires Fernando Reinaldo Ribeiro María Vanessa Villasana Rute Crisóstomo Maria Canavarro Teixeira Eftim Zdravevski |
| author_sort | Vasco Ponciano |
| collection | DOAJ |
| description | Due to the increasing age of the European population, there is a growing interest in performing research that will aid in the timely and unobtrusive detection of emerging diseases. For such tasks, mobile devices have several sensors, facilitating the acquisition of diverse data. This study focuses on the analysis of the data collected from the mobile devices sensors and a pressure sensor connected to a Bitalino device for the measurement of the Timed-Up and Go test. The data acquisition was performed within different environments from multiple individuals with distinct types of diseases. Then this data was analyzed to estimate the various parameters of the Timed-Up and Go test. Firstly, the pressure sensor is used to extract the reaction and total test time. Secondly, the magnetometer sensors are used to identify the total test time and different parameters related to turning around. Finally, the accelerometer sensor is used to extract the reaction time, total test time, duration of turning around, going time, return time, and many other derived metrics. Our experiments showed that these parameters could be automatically and reliably detected with a mobile device. Moreover, we identified that the time to perform the Timed-Up and Go test increases with age and the presence of diseases related to locomotion. |
| first_indexed | 2024-03-10T19:01:07Z |
| format | Article |
| id | doaj.art-56c01f7105604ac592dc66ed25dad7f0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T19:01:07Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-56c01f7105604ac592dc66ed25dad7f02023-11-20T04:26:12ZengMDPI AGSensors1424-82202020-06-012012348110.3390/s20123481Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older AdultsVasco Ponciano0Ivan Miguel Pires1Fernando Reinaldo Ribeiro2María Vanessa Villasana3Rute Crisóstomo4Maria Canavarro Teixeira5Eftim Zdravevski6R&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, PortugalR&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalFaculty of Health Sciences, Universidade da Beira Interior, 6200-506 Covilhã, PortugalPolytechnic Institute of Castelo Branco, 6000-084 Castelo Branco, PortugalUTC de Recursos Naturais e Desenvolvimento Sustentável, Polytechnique Institute of Castelo Branco, 6001-909 Castelo Branco, PortugalFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaDue to the increasing age of the European population, there is a growing interest in performing research that will aid in the timely and unobtrusive detection of emerging diseases. For such tasks, mobile devices have several sensors, facilitating the acquisition of diverse data. This study focuses on the analysis of the data collected from the mobile devices sensors and a pressure sensor connected to a Bitalino device for the measurement of the Timed-Up and Go test. The data acquisition was performed within different environments from multiple individuals with distinct types of diseases. Then this data was analyzed to estimate the various parameters of the Timed-Up and Go test. Firstly, the pressure sensor is used to extract the reaction and total test time. Secondly, the magnetometer sensors are used to identify the total test time and different parameters related to turning around. Finally, the accelerometer sensor is used to extract the reaction time, total test time, duration of turning around, going time, return time, and many other derived metrics. Our experiments showed that these parameters could be automatically and reliably detected with a mobile device. Moreover, we identified that the time to perform the Timed-Up and Go test increases with age and the presence of diseases related to locomotion.https://www.mdpi.com/1424-8220/20/12/3481Timed-Up and Go testsensorsmobile devicesaccelerometermagnetometerpressure sensor |
| spellingShingle | Vasco Ponciano Ivan Miguel Pires Fernando Reinaldo Ribeiro María Vanessa Villasana Rute Crisóstomo Maria Canavarro Teixeira Eftim Zdravevski Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults Sensors Timed-Up and Go test sensors mobile devices accelerometer magnetometer pressure sensor |
| title | Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults |
| title_full | Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults |
| title_fullStr | Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults |
| title_full_unstemmed | Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults |
| title_short | Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults |
| title_sort | mobile computing technologies for health and mobility assessment research design and results of the timed up and go test in older adults |
| topic | Timed-Up and Go test sensors mobile devices accelerometer magnetometer pressure sensor |
| url | https://www.mdpi.com/1424-8220/20/12/3481 |
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