Muscle Impedance Circle Mapping for Muscle Tissue Assessment After Stroke

In clinical treatment, accurate differentiation of pathological symptoms of stroke is crucial for the development of rehabilitation treatment programs. In this study, we proposed a method based on bioimpedance to assess muscle tissue after stroke, and calculated two optimal solutions of muscle impedance circle maps: the center of the muscle impedance circle and the short axis of the muscle impedance by an optimization algorithm, so as to map the muscle impedance circle maps (MICM) of different muscle tissues. The methods were validated by clinical experiments. The results showed that muscle impedance circle mapping can be used to assess the electrical properties of muscle tissue and to differentiate between the two pathologic states of spastic and myasthenic stroke. Therefore, the method proposed in this paper has the potential to assess the rehabilitation status of muscle tissues after stroke, providing new insights for clinical assessment and development of therapeutic regimens.