Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/30411
Title: Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review
Authors: Lopes Gabriel, Cristiana
Pires, Ivan Miguel
Coelho, Paulo Jorge
Zdravevski, Eftim 
Lameski, Petre 
Mewada, Hiren
Madeira, Filipe
Garcia, Nuno M
Carreto, Carlos
Keywords: Ten meter Walk test Sensors Wearable devices Telemedicine Mobile devices Systematic review
Issue Date: 25-May-2023
Publisher: Elsevier
Journal: Heliyon
Abstract: Physical issues started to receive more attention due to the sedentary lifestyle prevalent in modern culture. The Ten Meter Walk Test allows measuring the person’s capacity to walk along 10 m and analyzing the advancement of various medical procedures for ailments, including stroke. This systematic review is related to the use of mobile or wearable devices to measure physical parameters while administering the Ten Meter Walk Test for the analysis of the performance of the test. We applied the PRISMA methodology for searching the papers related to the Ten Meter Walk Test. Natural Language Processing (NLP) algorithms were used to automate the screening process. Various papers published in two decades from multiple scientific databases, including IEEE Xplore, Elsevier, Springer, EMBASE, SCOPUS, Multidisciplinary Digital Publishing Institute (MDPI), and PubMed Central were analyzed, focusing on various diseases, devices, features, and methods. The study reveals that chronometer and accelerometer sensors measuring spatiotemporal features are the most pertinent in the Gait characterization of most diseases. Likewise, all studies emphasized the close relation between the quality of the sensor’s data obtained and the system’s ultimate accuracy. In other words, calibration procedures are needed because of the body part where the sensor is worn and the type of sensor. In addition, using ambient sensors providing kinematic and kinetic features in conjunction with wearable sensors and consistently acquiring walking signals can enhance the system’s performance. The most common weaknesses in the analyzed studies are the sample size and the unavailability of continuous monitoring devices for measuring the Ten Meter Walk Test.
URI: http://hdl.handle.net/20.500.12188/30411
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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