Photoplethysmography (PPG) has been used for long time to measure physiological phenomena in finger, ear, toe and ear tissue volume with pulse and respiration. Unlike strain gauge plethysmography which measures only mechanical phenomena, PPG measures both mechanical and optical phenomena inside of the tissues producing nice waveform series in the measurements. We have developed both electronics and sensors for accurate PPG measurements. Afterwards pulse waveform analysis is a convenient, inexpensive, and non-invasive diagnosis method in the connection of PPG. Decomposing of pulse measures has to acquire and record pulse waveforms by an optoelectronic amplifiers and sensors firstly from a resting human, and then analyze these pulse waveforms. The pulse waveforms of the PPG measurements from the human forefinger and the second toe blood vessels have been shown to fit with many functional forms, and especially the functional form of the log-normal density function. We show that a log-normal density function (distribution) can be fitted with very good accuracy to the PPG waveforms using four log-normal components. Origin^TM softwave was used in this primary analysis task. As a measurement result we received PPG pulse waveforms which are usually composed of four primaries; percussion wave, tidal wave, dicrotic wave, and pre-ejection wave. According to these primaries we can extract the parameters for pulse wave velocity and especially looking forward to arterial stiffness index in young and elderly persons. As the person age increased, the width of the finger PPG pulse increased and smoothed which is consistent with prolongation of the time required for transmission of the pulse wave at the level of the finger vessels. Other finger PPG waveform parameters, like the area, rise and fall time, are calculated with the relevant personal parameters.