Restoring Severe Quantized Signals for Blood Glucose Estimation

This paper proposes an empirical mode decomposition based technique for restoring the severe quantized signals for performing the blood glucose estimation. First, the severe quantized signals are represented by the intrinsic mode functions. Then, the energies of the intrinsic mode functions are computed. The signal is restored by summing up all the intrinsic mode functions with the starting index before the last intrinsic mode function index where the energy of the intrinsic mode function rises. Simulation results show that the proposed method can efficiently restore the severe quantized signals for performing the blood glucose estimation.