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The number of older adults is increasing worldwide, and it is expected that by 2050 over
2 billion individuals will be more than 60 years old. Older adults are exposed to numerous
pathological problems such as Parkinson’s disease, amyotrophic lateral sclerosis, post-stroke, and
orthopedic disturbances. Several physiotherapy methods that involve measurement of movements,
such as the Timed-Up and Go test, can be done to support efficient and effective evaluation of
pathological symptoms and promotion of health and well-being. In this systematic review, the
authors aim to determine how the inertial sensors embedded in mobile devices are employed for
the measurement of the different parameters involved in the Timed-Up and Go test. The main
contribution of this paper consists of the identification of the different studies that utilize the
sensors available in mobile devices for the measurement of the results of the Timed-Up and Go test.
The results show that mobile devices embedded motion sensors can be used for these types of
studies and the most commonly used sensors are the magnetometer, accelerometer, and gyroscope
available in off-the-shelf smartphones. The features analyzed in this paper are categorized as
quantitative, quantitative + statistic, dynamic balance, gait properties, state transitions, and raw
statistics. These features utilize the accelerometer and gyroscope sensors and facilitate recognition
of daily activities, accidents such as falling, some diseases, as well as the measurement of the
subject's performance during the test execution
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