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In this paper, measurement of the heart rate and respiration rate using Wavelet transform has been discussed. As the existing schemes including Fourier transform are not suitable for non-stationary data [13], Wavelet transform is however an alternative remedy. Emphasis has been made on the main issue of extracting spectral information using wavelet transform in this paper. Strategy has been proposed to trace the scale at which the Wavelet coefficients have maximum energy spectral density. These scales are used to find the respiration rate and heart rate through scales-to-frequency correspondence graph. Achieving time localization and spectral information simultaneously is the main contribution of this paper.