For this purpose, this test analyzes the movement and recognizes different patterns related to various diseases, facilitating identifying future risky situations. The Timed-Up and Go test is especially important for the treatment and diagnosis of Parkinson disease and fall risk prediction.

This work presents a systematic review of studies published between 20, focused on the application of the available sensors in off-the-shelf mobile devices to AAL and physical therapy, and specifically for the automation of the measurements performed during the TUG test. The continuous technological enhancements on mobile sensing promote novel applications for enhanced living environments and well-being however, the collaboration between information and communications technology and medical researchers is mandatory for the efficient applicability of these methods. Several mobile sensors such as accelerometers, magnetometers, and gyroscopes that are incorporated in the majority of todayвЂ™s smartphones can be used to support numerous clinical evaluation procedures such as activity recognition and fall detection. Mobile devices are used in the implementation of numerous methods for clinical evaluation and personalized healthcare. Furthermore, mobile devices incorporate high processing power, numerous sensors, and connectivity methods for short-range and long-range communications. In general, most older people only uses mobile phones for emergency situations, i.e., voice calls, and only a few of them use these devices for SMS and video calls. The use of mobile devices by older people was evaluated with the use of questionnaires and interviews. 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 subjectвЂ™s performance during the test execution.

The features analyzed in this paper are categorized as quantitative, quantitative + statistic, dynamic balance, gait properties, state transitions, and raw statistics. 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 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. 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.

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. Older adults are exposed to numerous pathological problems such as ParkinsonвЂ™s disease, amyotrophic lateral sclerosis, post-stroke, and orthopedic disturbances. 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.

Time up and go test