Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/41463
Title: | Mobile data gathering and preliminary analysis for the functional reach test |
Author: | Francisco, Luís Duarte, João Albuquerque, Carlos Albuquerque, Daniel Pires, Ivan Miguel Coelho, Paulo Jorge |
Keywords: | Functional reach test Smart wearables Inertial sensors Monitoring apps |
Issue Date: | 2-Feb-2024 |
Publisher: | MDPI |
Abstract: | The functional reach test (FRT) is a clinical tool used to evaluate dynamic balance and fall risk in older adults and those with certain neurological diseases. It provides crucial information for developing rehabilitation programs to improve balance and reduce fall risk. This paper aims to describe a new tool to gather and analyze the data from inertial sensors to allow automation and increased reliability in the future by removing practitioner bias and facilitating the FRT procedure. A new tool for gathering and analyzing data from inertial sensors has been developed to remove practitioner bias and streamline the FRT procedure. The study involved 54 senior citizens using smartphones with sensors to execute FRT. The methods included using a mobile app to gather data, using sensor-fusion algorithms like the Madgwick algorithm to estimate orientation, and attempting to estimate location by twice integrating accelerometer data. However, accurate position estimation was difficult, highlighting the need for more research and development. The study highlights the benefits and drawbacks of automated balance assessment testing with mobile device sensors, highlighting the potential of technology to enhance conventional health evaluations. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/41463 |
DOI: | 10.3390/s24041301 |
Appears in Collections: | ESTGA - Artigos IT - Artigos |
Files in This Item:
File | Description | Size | Format | |
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sensors-24-01301.pdf | 6.36 MB | Adobe PDF | View/Open |
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