Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review
Journal
Heliyon
Date Issued
2023-05-25
Author(s)
Lopes Gabriel, Cristiana
Pires, Ivan Miguel
Coelho, Paulo Jorge
Mewada, Hiren
Madeira, Filipe
Garcia, Nuno M
Carreto, Carlos
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.
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.
Subjects