ArticleSensors (Basel, Switzerland)2020
Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Can the Eight Hop Test Be Measured with Sensors? A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Development, Reliability, and Validity Assessment of a Portable 3D Camera-Based System for Quantifying Postural Sway and Balance.Sensors (Basel, Switzerland) · 2026Article
- Post-COVID-19 Rehabilitation Improves Mobility and Gait Performance: Evidence from TUG and 10MWT.Healthcare (Basel, Switzerland) · 2025Article
- 'Watkins' & 'Watkins2.0': Smart phone applications (Apps) for gait-assessment in normal pressure hydrocephalus and decompensated long-standing overt ventriculomegaly.Acta neurochirurgica · 2024Article
- Age-specific comparisons in the rate of force development of toe pressure strength and its association with the timed up and go test.European geriatric medicine · 2024Article
- Development of a mobile application for assessing reaction time in walking and TUG duration: Concurrent validity in female older adults.Frontiers in medicine · 2023Article
- Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.Scientific data · 2022Article
- A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes.Sensors (Basel, Switzerland) · 2022Article
- Wearable Sensor-Based Prediction Model of Timed up and Go Test in Older Adults.Sensors (Basel, Switzerland) · 2021Article
- Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices.Data in brief · 2021Article
- Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices.Data in brief · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the increasing age of the European population, there is a growing interest in performing research that will aid in the timely and unobtrusive detection of emerging diseases. For such tasks, mobile devices have several sensors, facilitating the acquisition of diverse data. This study focuses on the analysis of the data collected from the mobile devices sensors and a pressure sensor connected to a Bitalino device for the measurement of the Timed-Up and Go test. The data acquisition was performed within different environments from multiple individuals with distinct types of diseases. Then this data was analyzed to estimate the various parameters of the Timed-Up and Go test. Firstly, the pressure sensor is used to extract the reaction and total test time. Secondly, the magnetometer sensors are used to identify the total test time and different parameters related to turning around. Finally, the accelerometer sensor is used to extract the reaction time, total test time, duration of turning around, going time, return time, and many other derived metrics. Our experiments showed that these parameters could be automatically and reliably detected with a mobile device. Moreover, we identified that the time to perform the Timed-Up and Go test increases with age and the presence of diseases related to locomotion.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.