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Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review

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R&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, Portugal
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Altranportugal, 1990-096 Lisbon, Portugal
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Instituto de Telecomunicações, Universidade da Beira Interior, 6201-001 Covilhã, Portugal
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Department of Computer Science, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
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Department of Information Engineering, Marche Polytechnic University, 60121 Ancona, Italy
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Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, Macedonia
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(3), 528; https://doi.org/10.3390/electronics9030528
Received: 23 January 2020 / Revised: 14 March 2020 / Accepted: 20 March 2020 / Published: 23 March 2020
(This article belongs to the Special Issue Electronic Solutions for Artificial Intelligence Healthcare)
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. View Full-Text
Keywords: older adults; inertial sensors; physical exercises; physiotherapy; systematic review; timed-up and go test measurement older adults; inertial sensors; physical exercises; physiotherapy; systematic review; timed-up and go test measurement
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Ponciano, V.; Pires, I.M.; Ribeiro, F.R.; Marques, G.; Garcia, N.M.; Pombo, N.; Spinsante, S.; Zdravevski, E. Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review. Electronics 2020, 9, 528.

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