Hysteresis and memory effects in skin aging using PM space density identification

Hysteresis and memory effects are identified in the complex response of a ex vivo skin under uniaxial loading. The multiscale properties of the skin are described using a Preisach-Mayergoyz (PM) model using 1000 hysterons. An inversion algorithm is tested versus the properties of the coded excitation with the objective to extract the optimized excitation for the best PM space density identification. Hysteresis behavior coming from the complex loading of the skin is identified with the new PM space statistical approach. Statistical distributions of the PM space are obtained with various statistics. It is found that optimization techniques with L
₂
distance and φ-divergence measures induces a PM space with 1000 hysterons distributed along a mixture of two Guyer distributions. Analysis of data coming from hysteresis behavior shows that PM-space approach is suggested as a new tool for extracting multi-scale parameters containing information about aging of the skin.