Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson's Disease and Healthy Participants?

Manjeri Keloth, S, PuzhavakkathuMadom Viswanathan, R, Jelfs, B, Poosapadi Arjunan, S, Raghav, S and Kumar, D 2019, 'Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson's Disease and Healthy Participants?', Biosensors, vol. 9, no. 2, pp. 1-1.


Document type: Journal Article
Collection: Journal Articles

Title Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson's Disease and Healthy Participants?
Author(s) Manjeri Keloth, S
PuzhavakkathuMadom Viswanathan, R
Jelfs, B
Poosapadi Arjunan, S
Raghav, S
Kumar, D
Year 2019
Journal name Biosensors
Volume number 9
Issue number 2
Start page 1
End page 1
Total pages 1
Publisher MDPIAG
Abstract This study investigated the difference in the gait of patients with Parkinson's disease (PD), age-matched controls and young controls during three walking patterns. Experiments were conducted with 24 PD, 24 age-matched controls and 24 young controls, and four gait intervals were measured using inertial measurement units (IMU). Group differences between the mean and variance of the gait parameters (stride interval, stance interval, swing interval and double support interval) for the three groups were calculated and statistical significance was tested. The results showed that the variance in each of the four gait parameters of PD patients was significantly higher compared with the controls, irrespective of the three walking patterns. This study showed that the variance of any of the gait interval parameters obtained using IMU during any of the walking patterns could be used to differentiate between the gait of PD and control people.
Subject Medical Biotechnology Diagnostics (incl. Biosensors)
Keyword(s) gait
IMU
Parkinson's disease
variance
DOI - identifier 10.3390/bios9020059
Copyright notice © 2019 by the authors. Licensee MDPI, Basel, Switzerland. Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
ISSN 2079-6374
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