Wearable technologies are becoming increasingly popular throughout society due to their capabilities and unobtrusiveness. The aim of personalized data collection narrows the category of wearable sensor systems to specifically support health related decision making. Wearable technology, specifically related to an Osteoarthritis (OA) population, could assist in tracking disease progression, allowing doctors to determine the optimal time for treatments. An emerging technology, referred to as electrical impedance myography or bioimpedance, has the ability to monitor soft tissues by applying a passive electrical current through a tissue to quantify how the tissue responds. In the case of knee tissues this will be dependent on the joint fluids, soft-tissue, and joint spacings. All of which are impacted by osteoarthritis and the progression of this disease. This thesis aims to design and validate a wearable bioimpedance system, integrated into a knee brace, using the MAX30001 AFE and the use of flexible circuits to integrate to the tissue. This system details the design requirements of a wearable system along with the validation of each individual subsystem through a series of benchmark tests. From the benchmark tests, the system was configured accordingly and integrated and validated on-body.