Literature DB >> 23366933

Enhancing clinical measures of postural stability with wearable sensors.

Priyanka M Deshmukh1, Colin M Russell, Lisa E Lucarino, Stephen N Robinovitch.   

Abstract

About 30% of individuals over the age of 65, and 50% over age 80, fall at least once per year. Fall-related injuries cost the Canadian health care system $2.8 billion annually. Risk for falls in older adults is commonly assessed in the clinical environment using tools such as the Short Physical Performance Battery (SPPB), which include subjective assessments of postural sway while standing under various sensory conditions. This study uses wearable accelerometers and a force plate to quantify measures of postural stability during these tasks. Four participants were asked to maintain quiet stance in six different conditions, while their center of pressure (COP) and accelerations from six accelerometers were recorded. Standard deviations in signals were used as measures of postural sway. The sway observed in all sensors increased with the difficulty of the stance condition. Manipulation of vision and surface stiffness caused greater changes in sway in the AP than ML direction, while changes in stance configuration were more evident in the ML direction. Furthermore, the ankle sensor was the most sensitive in registering changes in sway when manipulating vision and surface stiffness (showing an increase of 236% over baseline values in AP sway with eyes closed and standing on foam), while the thigh was most sensitive to changes in stance width (showing an increase of 336% over baseline values in ML sway in the tandem stance condition). This study contributes in establishing the utility of wearable sensors for quantifying postural stability under various stance configurations in future studies with high-risk older adults.

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Mesh:

Year:  2012        PMID: 23366933     DOI: 10.1109/EMBC.2012.6346972

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Anxiety does not always affect balance: the predominating role of cognitive engagement in a video gaming task.

Authors:  B S DeCouto; A M Williams; K R Lohse; S H Creem-Regehr; D L Strayer; P C Fino
Journal:  Exp Brain Res       Date:  2021-04-28       Impact factor: 2.064

Review 2.  Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review.

Authors:  Rosaria Rucco; Antonietta Sorriso; Marianna Liparoti; Giampaolo Ferraioli; Pierpaolo Sorrentino; Michele Ambrosanio; Fabio Baselice
Journal:  Sensors (Basel)       Date:  2018-05-18       Impact factor: 3.576

3.  Wearable Sensors for Measuring Movement in Short Sessions of Mindfulness Sitting Meditation: A Pilot Study.

Authors:  Victor H Rodriguez; Carlos T Medrano; Inmaculada Plaza
Journal:  J Healthc Eng       Date:  2018-05-07       Impact factor: 2.682

4.  Changes in standing stability with balance-based torso-weighting with cerebellar ataxia: A pilot study.

Authors:  Gail L Widener; Nicole Conley; Sarah Whiteford; Jason Gee; Anthony Harrell; Cynthia Gibson-Horn; Valerie Block; Diane D Allen
Journal:  Physiother Res Int       Date:  2019-11-20

5.  The Specificity of Cognitive-Motor Dual-Task Interference on Balance in Young and Older Adults.

Authors:  Nathan Ward; Alekya Menta; Virginia Ulichney; Cristiana Raileanu; Thomas Wooten; Erika K Hussey; Elizabeth Marfeo
Journal:  Front Aging Neurosci       Date:  2022-01-11       Impact factor: 5.750

6.  Modulating Cognitive-Motor Multitasking with Commercial-off-the-Shelf Non-Invasive Brain Stimulation.

Authors:  Nathan Ward; Erika Hussey; Thomas Wooten; Elizabeth Marfeo; Tad T Brunyé
Journal:  Brain Sci       Date:  2022-01-29
  6 in total

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