AI Article Synopsis
- Frailty is a significant concern as societies age, prompting the need for tools that can help detect and monitor frailty early on.
- The "Timed Up-and-Go" test is a widely used method for assessing elderly individuals' functional ability, and researchers have created an ultrasound device to automate this test.
- Algorithms were developed to detect the different phases of the test and estimate step frequency, showing a mean error of 0.22 to 0.35 seconds for task transitions and 0.15 Hz for step frequency, with plans for further testing with elderly participants.
Article Abstract
Frailty is one of the major problems associated with an aging society. Therefore, frailty assessment tools which support early detection and autonomous monitoring of the frailty status are heavily needed. One of the most used tests for functional assessment of the elderly is the "Timed Up-and-Go" test. In previous projects, we have developed an ultrasound-based device that enables performing the test autonomously. This paper described the development and validation of algorithms for detection of subtasks (stand up, walk, turn around, walk, sit down) and for step frequency estimation from the Timed Up-and-Go signals. The algorithms have been tested with an annotated test set recorded in 8 healthy subjects. The mean error for the developed subtask transition detection algorithms was in between 0.22 and 0.35 s. The mean step frequency error was 0.15 Hz. Future steps will include prospective evaluation of the algorithms with elderly people.
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| http://dx.doi.org/10.3233/SHTI210935 | DOI Listing |
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