Literature DB >> 12127187

Standing balance evaluation using a triaxial accelerometer.

Ruth E Mayagoitia1, Joost C Lötters, Peter H Veltink, Hermie Hermens.   

Abstract

This paper presents a new inherently triaxial accelerometer-based system for determining the ability to maintain balance while standing. In this study, the accelerometer was placed at the back of the subject at the approximate height of the centre of mass. The data were processed to obtain five performance parameters. Paired t-tests indicated that the accelerometer measurements were able to distinguish between the different test conditions as well as or better than simultaneous AMTI force platform measurements (P < or = 0.05). The accelerometer system is fully portable, independent of inclination in space, low-cost and allows long term measurements of standing balance. Copyright 2002 Elsevier Science B.V.

Mesh:

Year:  2002        PMID: 12127187     DOI: 10.1016/s0966-6362(01)00199-0

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


  44 in total

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

Authors:  Thurmon E Lockhart; Adam T Barth; Xiaoyue Zhang; Rahul Songra; Emaad Abdel-Rahman; John Lach
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2.  Center of mass acceleration feedback control for standing by functional neuromuscular stimulation: a simulation study.

Authors:  Raviraj Nataraj; Musa L Audu; Robert F Kirsch; Ronald J Triolo
Journal:  J Rehabil Res Dev       Date:  2012

3.  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

4.  Auditory biofeedback substitutes for loss of sensory information in maintaining stance.

Authors:  Marco Dozza; Fay B Horak; Lorenzo Chiari
Journal:  Exp Brain Res       Date:  2006-10-05       Impact factor: 1.972

5.  Effects of a proximity-sensing feedback chair on head, shoulder, and trunk postures when working at a visual display terminal.

Authors:  Won-gyu Yoo; Chung-hwi Yi; Min-hee Kim
Journal:  J Occup Rehabil       Date:  2006-12

6.  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

Review 7.  Restoring standing capabilities with feedback control of functional neuromuscular stimulation following spinal cord injury.

Authors:  Raviraj Nataraj; Musa L Audu; Ronald J Triolo
Journal:  Med Eng Phys       Date:  2017-02-15       Impact factor: 2.242

8.  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

9.  A comparative study for performance evaluation of sit-to-stand task with body worn sensor and existing laboratory methods.

Authors:  Rahul Soangra; Thurmon E Lockhart
Journal:  Biomed Sci Instrum       Date:  2012

10.  A comparison between methods of measuring postrual stability: force plates versus accelerometers.

Authors:  Christina Seimetz; Danica Tan; Riemann Katayama; Thurmon Lockhart
Journal:  Biomed Sci Instrum       Date:  2012
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