BioKin: an ambulatory platform for gait kinematic and feature assessment

A platform to move gait analysis, which is normally restricted to a clinical environment in a well-equipped gait laboratory, into an ambulatory system, potentially in non-clinical settings is introduced. This novel system can provide functional measurements to guide therapeutic interventions for peo...

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Bibliographic Details
Published in:Healthcare technology letters Vol. 2; no. 1; pp. 40 - 45
Main Authors: Ekanayake, Samitha W, Morris, Andrew J, Forrester, Mike, Pathirana, Pubudu N
Format: Journal Article
Language:English
Published: England The Institution of Engineering and Technology 01.02.2015
Subjects:
ambulatory platform
BioKin system
correlation coefficient
data collection
feature assessment
gait analysis
gait kinematic
image motion analysis
instrumented treadmill
kinematics
limb orientation estimation algorithm
low‐cost wearable wireless motion capture sensor
medical image processing
motion analysis platform
motion estimation
motion measurement
patient rehabilitation
root‐mean‐square error
storage engine
visualisation platform
wireless sensor networks
motion analysis platform
wireless sensor networks
feature assessment
motion measurement
kinematics
ambulatory platform
low-cost wearable wireless motion capture sensor
data collection
gait analysis
patient rehabilitation
image motion analysis
BioKin system
gait kinematic
instrumented treadmill
root-mean-square error
storage engine
motion estimation
visualisation platform
limb orientation estimation algorithm
correlation coefficient
medical image processing
ISSN:2053-3713, 2053-3713
Online Access:Get full text
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Description
Summary:A platform to move gait analysis, which is normally restricted to a clinical environment in a well-equipped gait laboratory, into an ambulatory system, potentially in non-clinical settings is introduced. This novel system can provide functional measurements to guide therapeutic interventions for people requiring rehabilitation with limited access to such gait laboratories. BioKin system consists of three layers: a low-cost wearable wireless motion capture sensor, data collection and storage engine, and the motion analysis and visualisation platform. Moreover, a novel limb orientation estimation algorithm is implemented in the motion analysis platform. The performance of the orientation estimation algorithm is validated against the orientation results from a commercial optical motion analysis system and an instrumented treadmill. The study results demonstrate a root-mean-square error less than 4° and a correlation coefficient more than 0.95 when compared with the industry standard system. These results indicate that the proposed motion analysis platform is a potential addition to existing gait laboratories in order to facilitate gait analysis in remote locations.
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ISSN:2053-3713
2053-3713
DOI:10.1049/htl.2014.0094