The impact of vibrotactile biofeedback on the excessive walking sway and the postural control in elderly

Gait and postural control are important aspects of human movement and balance. Normal movement control in human is subject to change with aging when the nervous system, comprising somatosensory, visual senses, spatial orientation senses, and neuromuscular control starts to degrade. As a result, the body movement control such as the lateral sway while walking is affected which has been shown to be a significant cause of falling among the elderly. Biofeedback has been investigated to assist elderly improve their body movement and postural ability, by supplementing the feedback to the nervous system. In this paper, we propose a wearable low-power sensor system capable of characterizing lateral sway and gait parameters. Then, it can provide corrective feedback to reduce excessive sway in real-time via vibratory feedback modules. Real-time and low-power characteristics along with wearability of our proposed system allow long-term continuous subjects' sway monitoring while giving direct feedback to enhance walking sway and prevent falling. It can also be used in the clinics as a tool for evaluating the risks of falls, and training users to better maintain their balance. The effectiveness of the biofeedback system was evaluated on 12 older adults as they performed gait and stance tasks with and without biofeedback. Significant improvement (p-value < 0.1) in sway angle in variance of the sway angle, variance of gait phases, and in postural control while on perturbed surface was detected when the proposed sway error feedback system was used.

[1]  J. Allum,et al.  Directional effects of biofeedback on trunk sway during stance tasks in healthy young adults. , 2010, Gait & posture.

[2]  Lorenzo Chiari,et al.  Audio-biofeedback for balance improvement: an accelerometry-based system , 2005, IEEE Transactions on Biomedical Engineering.

[3]  C. Patten,et al.  An Accelerometry-Based System for the Assessment of Balance and Postural Sway , 1997, Gerontology.

[4]  M. Woollacott,et al.  Attention and the control of posture and gait: a review of an emerging area of research. , 2002, Gait & posture.

[5]  Angelo Cappello,et al.  Influence of a portable audio-biofeedback device on structural properties of postural sway , 2005, Journal of NeuroEngineering and Rehabilitation.

[6]  Jeen-Shing Wang,et al.  Walking Pattern Classification and Walking Distance Estimation Algorithms Using Gait Phase Information , 2012, IEEE Transactions on Biomedical Engineering.

[7]  C. Wall,et al.  Vibrotactile tilt feedback improves dynamic gait index: a fall risk indicator in older adults. , 2009, Gait & posture.

[8]  J. Allum,et al.  Effects of biofeedback on trunk sway during dual tasking in the healthy young and elderly. , 2009, Gait & posture.

[9]  Oliver Amft,et al.  ETHOS: Miniature orientation sensor for wearable human motion analysis , 2010, 2010 IEEE Sensors.

[10]  Hermie Hermens,et al.  Standing balance evaluation using a triaxial accelerometer. , 2002, Gait & posture.

[11]  G Wu,et al.  Real-time feedback of body center of gravity for postural training of elderly patients with peripheral neuropathy. , 1997, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[12]  Gerhard Tröster,et al.  Rapid prototyping of smart garments for activity-aware applications , 2009, J. Ambient Intell. Smart Environ..

[13]  E Kentala,et al.  Control of sway using vibrotactile feedback of body tilt in patients with moderate and severe postural control deficits. , 2005, Journal of vestibular research : equilibrium & orientation.

[14]  John L. Crassidis,et al.  Survey of nonlinear attitude estimation methods , 2007 .

[15]  Wolfgang Taube,et al.  Influence of enhanced visual feedback on postural control and spinal reflex modulation during stance , 2008, Experimental Brain Research.

[16]  C Wall,et al.  Effects of visual and support surface orientation references upon postural control in vestibular deficient subjects. , 1983, Acta oto-laryngologica.

[17]  Peter F. Driessen,et al.  Gesture-Based Affective Computing on Motion Capture Data , 2005, ACII.

[18]  Pierre-Yves Gumery,et al.  iBalance-ABF: A Smartphone-Based Audio-Biofeedback Balance System , 2013, IEEE Transactions on Biomedical Engineering.