Literature DB >> 18178436

Accelerometry: a technique for quantifying movement patterns during walking.

Justin J Kavanagh1, Hylton B Menz.   

Abstract

The popularity of using accelerometer-based systems to quantify human movement patterns has increased in recent years for clinicians and researchers alike. The benefits of using accelerometers compared to more traditional gait analysis instruments include low cost; testing is not restricted to a laboratory environment; accelerometers are small, therefore walking is relatively unrestricted; and direct measurement of 3D accelerations eliminate errors associated with differentiating displacement and velocity data. However, accelerometry is not without its disadvantages, an issue which is scarcely reported in gait analysis literature. This paper reviews the use of accelerometer technology to investigate gait-related movement patterns, and addresses issues of acceleration measurement important for experimental design. An overview of accelerometer mechanics is provided before illustrating specific experimental conditions necessary to ensure the accuracy of gait-related acceleration measurement. A literature review is presented on how accelerometry has been used to examine basic temporospatial gait parameters, shock attenuation, and segmental accelerations of the body during walking. The output of accelerometers attached to the upper body has provided useful insights into the motor control of normal walking, age-related differences in dynamic postural control, and gait patterns in people with movement disorders.

Entities:  

Mesh:

Year:  2008        PMID: 18178436     DOI: 10.1016/j.gaitpost.2007.10.010

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  101 in total

1.  Age-associated changes in head jerk while walking reveal altered dynamic stability in older people.

Authors:  Matthew A D Brodie; Hylton B Menz; Stephen R Lord
Journal:  Exp Brain Res       Date:  2013-10-05       Impact factor: 1.972

2.  Understanding the effects of pre-processing on extracted signal features from gait accelerometry signals.

Authors:  Alexandre Millecamps; Kristin A Lowry; Jennifer S Brach; Subashan Perera; Mark S Redfern; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2015-04-04       Impact factor: 4.589

3.  'Outwalk': a protocol for clinical gait analysis based on inertial and magnetic sensors.

Authors:  Andrea Giovanni Cutti; Alberto Ferrari; Pietro Garofalo; Michele Raggi; Angelo Cappello; Adriano Ferrari
Journal:  Med Biol Eng Comput       Date:  2009-11-13       Impact factor: 2.602

4.  First in vivo assessment of "Outwalk": a novel protocol for clinical gait analysis based on inertial and magnetic sensors.

Authors:  Alberto Ferrari; Andrea Giovanni Cutti; Pietro Garofalo; Michele Raggi; Monique Heijboer; Angelo Cappello; Angelo Davalli
Journal:  Med Biol Eng Comput       Date:  2009-11-13       Impact factor: 2.602

5.  Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior.

Authors:  Katrien Van Nimmen; Geert Lombaert; Guido De Roeck; Peter Van den Broeck
Journal:  J Vis Exp       Date:  2016-04-13       Impact factor: 1.355

6.  Classifying prosthetic use via accelerometry in persons with transtibial amputations.

Authors:  Morgan T Redfield; John C Cagle; Brian J Hafner; Joan E Sanders
Journal:  J Rehabil Res Dev       Date:  2013

7.  Role of visual input in the control of dynamic balance: variability and instability of gait in treadmill walking while blindfolded.

Authors:  Fabienne Reynard; Philippe Terrier
Journal:  Exp Brain Res       Date:  2014-12-23       Impact factor: 1.972

Review 8.  How consumer physical activity monitors could transform human physiology research.

Authors:  Stephen P Wright; Tyish S Hall Brown; Scott R Collier; Kathryn Sandberg
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-01-04       Impact factor: 3.619

9.  Gait measures with a triaxial accelerometer among patients with neurological impairment.

Authors:  Patrik Fazio; Gino Granieri; Ilaria Casetta; Edward Cesnik; Sante Mazzacane; Pietro Caliandro; Francesco Pedrielli; Enrico Granieri
Journal:  Neurol Sci       Date:  2012-03-25       Impact factor: 3.307

Review 10.  Considerations for development of sensing and monitoring tools to facilitate treatment and care of persons with lower-limb loss: a review.

Authors:  Brian J Hafner; Joan E Sanders
Journal:  J Rehabil Res Dev       Date:  2014
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.