Abstract
Event-driven intermittent feedback control is a form of feedback control in which the corrective control action is only initiated intermittently when the variables of interest exceed certain threshold criteria. It has been reported in the literature that the CNS uses an event-driven intermittent control strategy to stabilize the human upright posture. However, whether the threshold criteria may change under different postural task conditions is not yet well understood. We employ a numerical study with inverted pendulum models and an experimental study with 51 young healthy individuals (13 females and 38 males; age: 27.8 ± 6.5 years) with stabilogram-diffusion, temporal and spectral analysis applied to COP (Center of Pressure) trajectories measured from these experiments to examine this aspect. The present study provides compelling evidence that inducing a natural arm swing during quiet stance appears to lead to higher sensory dead zone in neuronal control reflecting higher intermittency thresholds in active feedback control and a corresponding lower sensory dependence. Beyond the obvious scientific interest in understanding this aspect of how CNS controls the standing posture, an investigation of the said control strategy may subsequently help uncover insights about how control of quiet stance degrades with age and in diseased conditions. Additionally, such an understanding will also be of interest to the humanoid robotics community as it may lead to insights leading to improving control strategies for posture control in robots.
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References
Chagdes J, Rietdyk S, Haddad J, Zelaznik H, Cinelli M, Denomme L et al (2016) Limit cycle oscillations in standing human posture. J Biomech 49(07):1170–1179
Suzuki Y, Nakamura A, Milosevic M, Nomura K, Tanahashi T, Endo T et al (2020) Postural instability via a loss of intermittent control in elderly and patients with Parkinson’s disease: a model-based and data-driven approach. Chaos 30(113140):113–140
Funato T, Aoi S, Tomita N, Tsuchiya K (2016) Smooth enlargement of human standing sway by instability due to weak reaction floor and noise. R Soc Open Sci 3:150570
Tanabe H, Fujii K, Kouzaki M (2017) Intermittent muscle activity in the feedback loop of postural control system during natural quiet standing. Sci Rep 7(10631):1–17
Winter DA (1995) Human balance and posture control during standing and walking. Gait Posture 3(4):193–214
Feller KJ, Peterka RJ, Horak FB (2019) Sensory re-weighting for postural control in Parkinson’s disease. Front Hum Neurosci 13(126):1–17
Blaszczyk JW, Orawiec R, Duda-Klodowska D, Opala G (2007) Assessment of postural instability in patients with Parkinson’s disease. Exp Brain Res 183(1):107–114
Fujio K, Takeuchi Y (2021) Discrimination of standing postures between young and elderly people based on center of pressure. Sci Rep 11(195):1–9
Dash R, Shah VV, Palanthandalam-Madapusi HJ (2020) Explaining Parkinsonian postural sway variabilities using intermittent control theory. J Biomech 105:1–8
Loram ID, Kamp CVD, Gollee H, Gawthrop PJ (2012) Identification of intermittent control in man and machine. J R Soc Interface 9(74):2070–2084
Asai Y, Tasaka Y, Nomura K, Nomura T, Casadio M, Morasso P (2009) A model of postural control in quiet standing: robust compensation of delay-induced instability using intermittent activation of feedback control. PLoS ONE 4(07):61–69
Dash R, Palanthandalam-Madapusi HJ (2019) When to use intermittent control for stabilization? In: Sixth Indian control conference (ICC), IEEE, pp 526–531
Craik KJW (1947) Theory of human operators in control systems: I. The operator as an engineering system. Br J Psychol 38(02):56–61
Collins JJ, Luca CJD (1993) Open-loop and closed-loop control of posture: a random-walk analysis of center-of-pressure trajectories. Exp Brain Res 95:308–318
Milton JG, Insperger T, Cook W, Harris DM, Stepan G (2018) Microchaos in human postural balance: Sensory dead zones and sampled time-delayed feedback. Phys Rev E. 98:022223
Tanabe H, Fujii K, Suzuki Y, Kouzaki M (2016) Effect of intermittent feedback control on robustness of human like postural control system. Sci Rep 6(22446):1–13
Horak FB (2006) Postural orientation and equilibrium: what do we need to know about neural control of balance to prevent falls? Age Ageing. 35–S2:ii7–ii11
Raymakers JA, Samson MM, Verhaar HJJ (2005) The assessment of body sway and the choice of the stability parameter(s). Gait Posture 21:48–58
Nakakubo S, Doi T, Sawa R, Misu S, Tsutsumimoto K, Ono R (2014) Does arm swing emphasized deliberately increase the trunk stability during walking in the elderly adults? Gait Posture 40:516–520
Park J (2008) Synthesis of natural arm swing motion in human bipedal walking. J Biomech 41:1417–1426
Dash R, Chandnani AR, Samaei AT, Safarkoolan R (2016) Advance model for capturing real life human gait process. In: Proceedings of the ASME 2016 international mechanical engineering congress and exposition, pp 1–10
Miyata A, Miyahara S, Nenchev DN (2020) Walking with arm swinging and pelvis rotation generated with the relative angular acceleration. IEEE Robot Autom Lett 5(1):151–158
Funato T, Sato Y, Fujiki S, Sato Y, Aoi S, Tsuchiya K et al (2017) Postural control during quiet bipedal standing in rats. PLOS ONE. 12:10078
Loram ID, Lakie M (2002) Direct measurement of human ankle stiffness during quiet standing: the intrinsic mechanical stiffness is insufficient for stability. J Physiol 545(3):1041–1053
Pasma JH, Boonstra TA, van Kordelaar J, Spyropoulou VV, Schouten AC (2017) A sensitivity analysis of an inverted pendulum balance control model. Front Comput Neurosci 11:99
Rocchi L, Chiari L, Cappello A, Horak FB (2006) Identification of distinct characteristics of postural sway in Parkinson’s disease: a feature selection procedure based on principal component analysis. Neurosci Lett 394:140–145
Donker SF, Roerdink M, Greven AJ, Beek PJ (2007) Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control. Exp Brain Res 181:1–11
Stins JF, Michielsen ME, Roerdink M, Beek PJ (2009) Sway regularity reflects attentional involvement in postural control Effects of expertise, vision and cognition. Gait Posture 30:106–109
Masani K, Vette AH, Abe MO, Nakazawa K (2014) Center of pressure velocity reflects body acceleration rather than body velocity during quiet standing. Gait Posture 39(3):946–952
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All trials were conducted in the SysIDEA laboratory of IITGN with the institution ethics approval.
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Communicated by Benjamin Lindner.
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Dash, R., Palanthandalam-Madapusi, H.J. Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance. Biol Cybern 116, 447–459 (2022). https://doi.org/10.1007/s00422-022-00927-8
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DOI: https://doi.org/10.1007/s00422-022-00927-8