Is the timed-up and go test feasible in mobile devices? A systematic review

article

Ponciano, Vasco
Pires, Ivan
Ribeiro, Fernando Reinaldo
Marques, Gonçalo
Garcia, Nuno
Pombo, Nuno
Spinsante, Susanna
Zdravevski, Eftim

MDPI

PONCIANO, Vasco [et al.] (2020) - Is the timed-up and go test feasible in mobile devices? A systematic review. Electronics. EISSN 2079-9292. 9(3). DOI: https://doi.org/10.3390/electronics9030528

2079-9292

Is the timed-up and go test feasible in mobile devices? A systematic review

Older adults
Inertial sensors
Physical exercises
Physiotherapy
Systematic review
Timed-up and go test measurement

UIDB/EEA/50008/2020

2020-03-23T18:32:53Z
2020-03-23T18:32:53Z
2020

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.
info:eu-repo/semantics/publishedVersion

openAccess
http://creativecommons.org/licenses/by/4.0/

eng