Objective This paper evaluates the difference of pulse contour parameter obtained from different sampling frequency and studies the effect of low sampling frequency for the calculation of pulse contour parameter in order to explore whether low sampling frequency of wearable cardiovascular function monitoring equipment affects the accuracy of the cardiovascular parameter.Methods A total of 100 subjects were studied.Carotid waveforms were measured by applanation tonometry with a sampling frequency of 1000Hz.All the carotid waveform data were converted offline to 500Hz, 250Hz and 128Hz by MATLAB.Waveform analysis technology was utilized to extract carotid systolic blood pressure (cSBP), augmentation index (AIx), subendocardial viability ratio (SEVR), and other parameters.The parameters obtained from 500Hz, 250Hz and 128Hz were compared with the parameter obtained from 1000Hz.Results There was a significantly high correlation between each parameter and its reference standard (r ≥ 0.993, P< 0.001).Bland-Altman plots showed a good consistency, since 95% of the difference points were located in the limits of agreement.Paired t-test results indicated that each parameter obtained from 500Hz, 250Hz and 128Hz had significant difference with its reference standard (P< 0.05).However, the average difference was small so that there was no clinical diagnosis significance.Conclusions For the calculation of pulse contour parameter, low sampling frequency can achieve the same accurate results as high sampling frequency.And low sampling frequency could reduce the requirement for hardware to better meet the requirement of wearable cardiovascular function monitoring equipment.