关键词: 脉搏主波拟合, 数据分析, 最小二乘, 峰值估计

Abstract: Pulse diagnostic acquisition devices mainly rely on hardware collecting data at high sampling rate to calculate physiological information such as pulse rate and pulse interval accurately, which needs complex equipment and requires a lot of storage space. Aiming at the problem, the paper designs a simple pulse diagnosis instrument to collect pulse data and recognizes pulse wave considering pulse characteristics and adaptive threshold to optimize the main pulse wave data based on principles of curve fitting. This method solves the over-saturation and data flutter phenomenon in the process of collecting data by software filtering, and can achieve accuracy sampling at 6 kHz by sampling at 60 Hz which could recognize pulse wave correctly over 99.93%. The Matlab simulation results show that, compared to the classical differential threshold method, the method proposed in this paper makes less errors in calculating the pulse interval and pulse rate, and increases accuracy of pulse?peak position and storage space utilization rate, which has very high engineering practicability.

Key words: pulse main wave fitting, data analysis, least squares, peak estimate