The　characteristics　of　pulse　waveform　reflect　the　physiological　and　pathological　state　of　the　human　beings.　However,　it　faces　a　lack　of　a　comprehensive　and　detailed　understanding.　In　this　pursuit,　the　present　research　envisages　to　propose　a　new　method　of　pulse　waveform　analysis　based　on　the　traditional　method　of　pulse　wave　analysis.　In　this　study,　the　data　of　932　subjects　were　studied　that　included　the　pulse　wave　of　the　finger　vein　volume　and　the　pulse　wave　of　the　radial　artery　pressure.　The　pulse　wave　was　re-analyzed　in　combination　with　the　physiological　process　of　the　heart.　Pulse　wave　data　processing　was　done　using　the　Gaussian　function　decomposition　fitting　method　to　make　up　for　the　lost　information　in　the　pulse　wave.　The　performance　evaluation　of　this　method　was　compared　with　the　traditional　pulse　wave　fitting.　It　was　found　that　the　difference　of　k　value　of　pulse　wave　after　normalization　was　increased　by　0.1%,　the　absolute　value　of　average　residuals　was　increased,　and　the　variance　of　all　data　increased　by　three　times.　This　method　could　fully　reflect　the　characteristics　of　the　pulse　wave,　and　was　found　to　be　an　effective　characteristic　analysis　method　of　pulse　wave,　thereby　providing　a　scientific　basis　for　the　comprehensive　analysis　of　the　characteristics　of　the　whole　cardiac　cycle　pulse　wave.