In-vivo viscoelastic properties have been estimated in human subcutaneous adipose tissue (SAT) by integration of poroviscoelastic-mass transport model (pve-MTM) into wearable electrical impedance tomography (w-EIT) under the influence of external compressive pressure -P. The pve-MTM predicts the ion concentration distribution c t mod ( ) by coupling the poroviscoelastic and mass transport model to describe the hydrodynamics, rheology, and transport phenomena inside SAT. The w-EIT measures the time-difference conductivity distribution g t ∆ ( ) in SAT resulted from the ion transport. Based on the integration, the two viscoelastic properties which are viscoelastic shear modulus of SAT G v and relaxation time of SAT t v are estimated by applying an iterative curve-fitting between the normalized average ion concentration distribution á ñ c t mod ˆ( ) predicted from pve-MTM and the experimental normalized average ion concentration distribution á ñ c t exp ˆ( ) derived from w-EIT. The in-vivo experiments were conducted by applying external compressive pressure -P on human calf boundary to induce interstitial fluid flow and ion movement in SAT. As a result, the value of G v was range from 4.9-6.3 kPa and the value of t v was range from 27.50-38.5 s with the value of average goodness-of-fit curve fitting R 2 >0.76. These values of G v and t v were compared to the human and animal tissue from the literature in order to verify this method. The results from pve-MTM provide evidence that G v and t v play a role in the predicted value of c . mod