Literature DB >> 34112840

The effects of mechanical noise bandwidth on balance across flat and compliant surfaces.

Jeshaiah Zhen Syuen Khor1, Alpha Agape Gopalai2, Boon Leong Lan1, Darwin Gouwanda1, Siti Anom Ahmad3.   

Abstract

Although the application of sub-sensory mechanical noise to the soles of the feet has been shown to enhance balance, there has been no study on how the bandwidth of the noise affects balance. Here, we report a single-blind randomized controlled study on the effects of a narrow and wide bandwidth mechanical noise on healthy young subjects' sway during quiet standing on firm and compliant surfaces. For the firm surface, there was no improvement in balance for both bandwidths-this may be because the young subjects could already balance near-optimally or optimally on the surface by themselves. For the compliant surface, balance improved with the introduction of wide but not narrow bandwidth noise, and balance is improved for wide compared to narrow bandwidth noise. This could be explained using a simple model, which suggests that adding noise to a sub-threshold pressure stimulus results in markedly different frequency of nerve impulse transmitted to the brain for the narrow and wide bandwidth noise-the frequency is negligible for the former but significantly higher for the latter. Our results suggest that if a person's standing balance is not optimal (for example, due to aging), it could be improved by applying a wide bandwidth noise to the feet.

Entities:  

Year:  2021        PMID: 34112840     DOI: 10.1038/s41598-021-91422-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  25 in total

Review 1.  Noise-enhanced human sensorimotor function.

Authors:  James J Collins; Attila A Priplata; Denise C Gravelle; James Niemi; Jason Harry; Lewis A Lipsitz
Journal:  IEEE Eng Med Biol Mag       Date:  2003 Mar-Apr

2.  Aging and postural control. A comparison of spontaneous- and induced-sway balance tests.

Authors:  B E Maki; P J Holliday; G R Fernie
Journal:  J Am Geriatr Soc       Date:  1990-01       Impact factor: 5.562

3.  Validation of Static and Dynamic Balance Assessment Using Microsoft Kinect for Young and Elderly Populations.

Authors:  Moataz A Eltoukhy; Christopher Kuenze; Jeonghoon Oh; Joseph F Signorile
Journal:  IEEE J Biomed Health Inform       Date:  2017-03-22       Impact factor: 5.772

4.  Fall Risk Assessment Through Automatic Combination of Clinical Fall Risk Factors and Body-Worn Sensor Data.

Authors:  Barry R Greene; Stephen J Redmond; Brian Caulfield
Journal:  IEEE J Biomed Health Inform       Date:  2016-03-07       Impact factor: 5.772

5.  Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data.

Authors:  Na Lu; Yidan Wu; Li Feng; Jinbo Song
Journal:  IEEE J Biomed Health Inform       Date:  2018-02-20       Impact factor: 5.772

6.  Fall detection in homes of older adults using the Microsoft Kinect.

Authors:  Erik E Stone; Marjorie Skubic
Journal:  IEEE J Biomed Health Inform       Date:  2014-03-17       Impact factor: 5.772

Review 7.  Aging of the somatosensory system: a translational perspective.

Authors:  Scott W Shaffer; Anne L Harrison
Journal:  Phys Ther       Date:  2007-01-23

8.  Fall Risk Assessment Predicts Fall-Related Injury, Hip Fracture, and Head Injury in Older Adults.

Authors:  Martin Nilsson; Joel Eriksson; Berit Larsson; Anders Odén; Helena Johansson; Mattias Lorentzon
Journal:  J Am Geriatr Soc       Date:  2016-09-30       Impact factor: 5.562

9.  Falls efficacy, postural balance, and risk for falls in older adults with falls-related emergency department visits: prospective cohort study.

Authors:  Yong-Hao Pua; Peck-Hoon Ong; Ross Allan Clark; David B Matcher; Edwin Choon-Wyn Lim
Journal:  BMC Geriatr       Date:  2017-12-21       Impact factor: 3.921

Review 10.  The sensory neurons of touch.

Authors:  Victoria E Abraira; David D Ginty
Journal:  Neuron       Date:  2013-08-21       Impact factor: 17.173

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