Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (2): 169-173.DOI: 10.12068/j.issn.1005-3026.2016.02.005

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Mathematical Modeling of Pulse Wave Based on Lognormal Function

ZHAO Hai, DOU Sheng-chang, LI Da-zhou, CHEN Xing-chi   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2014-11-26 Revised:2014-11-26 Online:2016-02-15 Published:2016-02-18
  • Contact: DOU Sheng-chang
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Abstract: Daily monitoring health status needs long time, so the amount of health data is massive. In order to simplify the data, the existing mathematical methods of modeling pulse wave were analyzed which use two to four Gauss function to fit the pulse wave. Then, the mathematical modeling method of pulse wave based on Lognormal function was presented. A cycle of pulse wave was modeled by using four Lognormal functions. The starting time points of the four Lognormal functions were adjusted based on the physiological characteristics of the pulse wave, and the performance of the model was analyzed and compared with the existing methods. The results show that, compared with the existing methods, the Lognormal function model not only has a higher fitting accuracy, but also has better computational complexity, thus being more suitable for the big data application to daily health monitor in the body area network.

Key words: pulse wave, health big data, Lognormal model, function fitting, health monitoring

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