Control of vertical posture while elevating one foot to avoid a real or virtual obstacle

The purpose of this study is to investigate the control of vertical posture during obstacle avoidance in a real versus a virtual reality (VR) environment. Ten healthy participants stood upright and lifted one leg to avoid colliding with a real obstacle sliding on the floor toward a participant and with its virtual image. Virtual obstacles were delivered by a head mounted display (HMD) or a 3D projector. The acceleration of the foot, center of pressure, and electrical activity of the leg and trunk muscles were measured and analyzed during the time intervals typical for early postural adjustments (EPAs), anticipatory postural adjustments (APAs), and compensatory postural adjustments (CPAs). The results showed that the peak acceleration of foot elevation in the HMD condition decreased significantly when compared with that of the real and 3D projector conditions. Reduced activity of the leg and trunk muscles was seen when dealing with virtual obstacles (HMD and 3D projector) as compared with that seen when dealing with real obstacles. These effects were more pronounced during APAs and CPAs. The onsets of muscle activities in the supporting limb were seen during EPAs and APAs. The observed modulation of muscle activity and altered patterns of movement seen while avoiding a virtual obstacle should be considered when designing virtual rehabilitation protocols.

[1]  D. Winter,et al.  Unified theory regarding A/P and M/L balance in quiet stance. , 1996, Journal of neurophysiology.

[2]  M. L. Latash,et al.  Fitts’ Law in early postural adjustments , 2013, Neuroscience.

[3]  T. Mergner,et al.  A cognitive intersensory interaction mechanism in human postural control , 2006, Experimental Brain Research.

[4]  F. Horak,et al.  EMG responses to maintain stance during multidirectional surface translations. , 1998, Journal of neurophysiology.

[5]  D. Brunt,et al.  Principles underlying the organization of movement initiation from quiet stance. , 1999, Gait & posture.

[6]  A. Achiron,et al.  The effect of balance training on postural control in people with multiple sclerosis using the CAREN virtual reality system: a pilot randomized controlled trial , 2016, Journal of NeuroEngineering and Rehabilitation.

[7]  Christopher K. Rhea,et al.  Control of adaptive locomotion: effect of visual obstruction and visual cues in the environment , 2006, Experimental Brain Research.

[8]  V. Krishnan,et al.  The effect of decreased visual acuity on control of posture , 2012, Clinical Neurophysiology.

[9]  Aftab E Patla,et al.  Task-specific modulations of locomotor action parameters based on on-line visual information during collision avoidance with moving objects. , 2008, Human movement science.

[10]  M L Latash,et al.  Anticipatory postural adjustments during self-initiated perturbations of different magnitude triggered by a standard motor action. , 1996, Electroencephalography and clinical neurophysiology.

[11]  Gilles Montagne,et al.  Control of human locomotion under various task constraints , 2002, Experimental Brain Research.

[12]  M Simoneau,et al.  Online control of anticipated postural adjustments in step initiation: evidence from behavioral and computational approaches. , 2012, Gait & posture.

[13]  Rezaul Begg,et al.  Characteristics of gait in stepping over obstacles , 1996 .

[14]  M. Petrarca,et al.  Stepping over obstacles of different heights: kinematic and kinetic strategies of leading limb in hemiplegic children. , 2006, Gait & posture.

[15]  M. Schieppati,et al.  Postural adjustments associated with voluntary contraction of leg muscles in standing man , 2004, Experimental Brain Research.

[16]  Jian Liu,et al.  EMG and Kinematic Responses to Unexpected Slips After Slip Training in Virtual Reality , 2015, IEEE Transactions on Biomedical Engineering.

[17]  S. Park,et al.  Feedback equilibrium control during human standing , 2005, Biological Cybernetics.

[18]  F. Horak,et al.  Stance dependence of automatic postural adjustments in humans , 1989, Experimental Brain Research.

[19]  David N. Lee Visual proprioceptive control of stance , 1975 .

[20]  Jannick P. Rolland,et al.  Towards Quantifying Depth and Size Perception in Virtual Environments , 1993, Presence: Teleoperators & Virtual Environments.

[21]  G Staude,et al.  Objective motor response onset detection in surface myoelectric signals. , 1999, Medical engineering & physics.

[22]  A. Aruin,et al.  Effects of lateral perturbations and changing stance conditions on anticipatory postural adjustment. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[23]  M. Latash,et al.  Two stages and three components of the postural preparation to action , 2011, Experimental Brain Research.

[24]  Maria V. Sanchez-Vives,et al.  From presence to consciousness through virtual reality , 2005, Nature Reviews Neuroscience.

[25]  T. Mergner,et al.  Human postural responses to motion of real and virtual visual environments under different support base conditions , 2005, Experimental Brain Research.

[26]  M. Latash,et al.  Early postural adjustments in preparation to whole-body voluntary sway. , 2012, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[27]  V. Krishnan,et al.  Postural control in response to an external perturbation: effect of altered proprioceptive information , 2012, Experimental Brain Research.

[28]  P. Beek,et al.  A Comparison of Real Catching With Catching Using Stereoscopic Visual Displays , 2004 .

[29]  J. Massion Movement, posture and equilibrium: Interaction and coordination , 1992, Progress in Neurobiology.

[30]  Maureen K. Holden,et al.  Virtual Environments for Motor Rehabilitation: Review , 2005, Cyberpsychology Behav. Soc. Netw..

[31]  Dimitrios Tzovaras,et al.  Age-dependent modulation of sensory reweighting for controlling posture in a dynamic virtual environment , 2011, AGE.

[32]  Belen'kiĭ Ve,et al.  Control elements of voluntary movements , 1967 .

[33]  G. Rees,et al.  Fine-scale activity patterns in high-level visual areas encode the category of invisible objects. , 2008, Journal of vision.

[34]  Jin-hoon Park,et al.  Effects of task constraints on obstacle avoidance strategies in patients with cerebellar disease. , 2013, Gait & posture.

[35]  N. Sousa,et al.  Compensatory postural adjustments in Parkinson’s disease assessed via a virtual reality environment , 2016, Behavioural Brain Research.

[36]  R W Bohannon,et al.  Kinematic analysis of obstacle clearance during locomotion. , 1999, Gait & posture.

[37]  P H Veltink,et al.  Surface electromyography analysis for variable gait. , 2003, Gait & posture.

[38]  N Gueguen,et al.  Anticipatory balance control is affected by loadless training experiences. , 2004, Human movement science.

[39]  D. Brunt,et al.  Initiation of movement from quiet stance: comparison of gait and stepping in elderly subjects of different levels of functional ability. , 2005, Gait & posture.

[40]  M. Latash,et al.  Early and late components of feed-forward postural adjustments to predictable perturbations , 2012, Clinical Neurophysiology.

[41]  V. Gurfinkel,et al.  [Control elements of voluntary movements]. , 1967, Biofizika.

[42]  A. Aruin,et al.  Three components of postural control associated with pushing in symmetrical and asymmetrical stance , 2013, Experimental Brain Research.

[43]  Renato Moraes,et al.  Determinants guiding alternate foot placement selection and the behavioral responses are similar when avoiding a real or a virtual obstacle , 2006, Experimental Brain Research.

[44]  J. Basmajian Electromyography--dynamic gross anatomy: a review. , 1980, The American journal of anatomy.

[45]  A Pedotti,et al.  Coordination between equilibrium and head-trunk orientation during leg movement: a new strategy build up by training. , 1992, Journal of neurophysiology.

[46]  T. Caderby,et al.  Influence of temporal pressure constraint on the biomechanical organization of gait initiation made with or without an obstacle to clear , 2015, Experimental Brain Research.

[47]  J. Faubert,et al.  Development of visually driven postural reactivity: a fully immersive virtual reality study. , 2008, Journal of vision.

[48]  Jing-Jing Fang,et al.  Increasing speed to improve arm movement and standing postural control in Parkinson's disease patients when catching virtual moving balls. , 2014, Gait & posture.

[49]  K. Newell,et al.  Modulation of cortical activity in 2D versus 3D virtual reality environments: an EEG study. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[50]  Peter Agada,et al.  Dynamic Reweighting of Three Modalities for Sensor Fusion , 2014, PloS one.

[51]  Karina Iglesia Molina,et al.  Virtual reality using games for improving physical functioning in older adults: a systematic review , 2014, Journal of NeuroEngineering and Rehabilitation.

[52]  C Maurer,et al.  A multisensory posture control model of human upright stance. , 2003, Progress in brain research.

[53]  A. Aruin,et al.  The role of anticipatory postural adjustments in compensatory control of posture: 1. Electromyographic analysis. , 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.