Change of complexity patterns in human posture during aging

Abstract

Human posture is a prototypical example of a complex control system. The joint output of several physiological - most likely nonlinearly interacting - processes leads to correctional movements which enable us to stand upright. These correctional body movements reflect some features of the underlying control mechanisms. We analyze the movements of quietly standing persons by means of various types of fractal measures, which are designed to capture 'degrees of complexity'. We observe changes of these fractal measures as a function of age and show that aging goes hand in hand with a decrease of complexity in movement patterns towards more regular movements. We try to explain these results in a stochastic resonance framework. We conjecture that the reduction of posture complexity is linked to deteriorated balance performance and argue that clinical treatment of age-related balance problems should focus on regaining this complexity therapeutically. We line out two possible starting points for actual therapy.