Literature DB >> 9436014

An accelerometry-based system for the assessment of balance and postural sway.

G Kamen1, C Patten, C D Du, S Sison.   

Abstract

The aim of this investigation was to develop an inexpensive, efficient system for the clinical assessment of static and dynamic balance and postural sway using accelerometry-based measurements. Subjects consisted of 10 young (range 18-32 years) and 10 older (range 69-86 years) individuals screened for polypharmacy and history of cardiovascular, neurological or orthopedic health conditions. A lightweight uniaxial accelerometer and general-purpose microcomputer were used to obtain measurements of postural sway. Customized software was written to acquire the data and provide a real-time display consisting of amplitude and frequency characteristics of the sway profile. Intraclass reliability coefficients greater than R = 0.75 were obtained in both eyes-open and challenging-standing balance tasks. Preliminary results demonstrate that the instrumentation can be used to discriminate among balance tasks and to differentiate healthy older adults from those with a tendency toward frequent falls. Moreover, the technique described yields a simple-to-administer, inexpensive procedure that can be conducted in the home or another natural environment. Accelerometry also allows for balance training and re-learning, using tasks that might ordinarily pose a balance challenge for the older or frail adult.

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Year:  1998        PMID: 9436014     DOI: 10.1159/000021981

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  21 in total

1.  Portable, Non-Invasive Fall Risk Assessment in End Stage Renal Disease Patients on Hemodialysis.

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2.  Classification of basic daily movements using a triaxial accelerometer.

Authors:  M J Mathie; B G Celler; N H Lovell; A C F Coster
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

3.  Sensitivity of body sway parameters during quiet standing to manipulation of support surface size.

Authors:  Sarabon Nejc; Rosker Jernej; Stefan Loefler; Helmut Kern
Journal:  J Sports Sci Med       Date:  2010-09-01       Impact factor: 2.988

4.  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

5.  Quantification of postural stability in older adults using mobile technology.

Authors:  Sarah J Ozinga; Jay L Alberts
Journal:  Exp Brain Res       Date:  2014-08-24       Impact factor: 1.972

Review 6.  Position-sensing technologies for movement analysis in stroke rehabilitation.

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Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

7.  Standing balance and strength measurements in older adults living in residential care communities.

Authors:  Bader A Alqahtani; Mary Ann Ferchak; Theodore J Huppert; Ervin Sejdic; Subashan Perera; Susan L Greenspan; Patrick J Sparto
Journal:  Aging Clin Exp Res       Date:  2016-12-20       Impact factor: 3.636

8.  The Impact of Vibrotactile Biofeedback on the Excessive Walking Sway and the Postural Control in Elderly.

Authors:  Omid Dehzangi; Zheng Zhao; Mohammad-Mahdi Bidmeshki; John Biggan; Christopher Ray; Roozbeh Jafari
Journal:  Proc Wirel Health       Date:  2013-11

9.  A comparison of accelerometry and center of pressure measures during computerized dynamic posturography: a measure of balance.

Authors:  S L Whitney; J L Roche; G F Marchetti; C-C Lin; D P Steed; G R Furman; M C Musolino; M S Redfern
Journal:  Gait Posture       Date:  2011-02-17       Impact factor: 2.840

10.  Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study.

Authors:  Luca Lonini; Nicholas Shawen; Kathleen Scanlan; William Z Rymer; Konrad P Kording; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2016-03-31       Impact factor: 4.262

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