@article{ref1,
title="Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series",
journal="Journal of medical case reports",
year="2023",
author="Cabo, Carolina A. and Fernandes, Orlando and Santos, Sara and Parraca, Jose A.",
volume="17",
number="1",
pages="e535-e535",
abstract="BACKGROUND: Spatiotemporal characteristics from human locomotion can provide effective clinical metrics to assess motor control and brain function. This case report aims to assess the temporal structure of variability in stride-to-stride time and calculated the intrinsic fractal frame that is hidden below the repetitive structure of physiological gait through the &quot;Phyphox&quot; app. This is an innovative study from the perspective of analyzing gait variables through a mobile app. CASE PRESENTATION: Five older adults Caucasian (3 women; age = 73 ± 10,5 years; body mass = 62,2 ± 15,1 kg; height = 1,56 ± 0,1 m; 2 men; age = 75,5 ± 7,8 years; body mass = 86,3 ± 18,0 kg; height = 1,77 ± 0,1 m) participated in this study. Five participants were asked to walk with a natural cadence, two of the participants presented a value greater than 80 step's/minute (81.14 ± 0.01; 86.67 ± 0.02); and the others had values between 55 and 65 step's/minute (55.20 ± 0.02; 55.78 ± 0.05; 61.02 ± 0.05). Regarding the coefficient of variation, only one participant presented 10.08%. For the total number of steps, three of the participants had values greater than 1000 steps. The variability of these stride-to-stride time has been quantified through detrended fluctuation analysis; one participant presented a value above 1. <br><br>CONCLUSIONS: This study provides evidence that a smartphone might provide a valid measure to assess the spatiotemporal characteristics of gait.<p /> <p>Language: en</p>",
language="en",
issn="1752-1947",
doi="10.1186/s13256-023-04296-z",
url="http://dx.doi.org/10.1186/s13256-023-04296-z"
}