电脑知识与技术
電腦知識與技術
전뇌지식여기술
COMPUTER KNOWLEDGE AND TECHNOLOGY
2013年
16期
3850-3852,3855
,共4页
脉搏波%二阶导数%极值点
脈搏波%二階導數%極值點
맥박파%이계도수%겁치점
Pulse wave%The second derivative%extreme points
该文主要是脉搏波极值点识别的研究，提出一种新的算法即基于二阶导数的极值点来对应原始脉搏波的拐点，阐述算法原理，将其与传统的针对原始波形的极值法进行对比，实践证明，基于二阶导数的极值点识别法更准确且稳定性较好。
該文主要是脈搏波極值點識彆的研究，提齣一種新的算法即基于二階導數的極值點來對應原始脈搏波的枴點，闡述算法原理，將其與傳統的針對原始波形的極值法進行對比，實踐證明，基于二階導數的極值點識彆法更準確且穩定性較好。
해문주요시맥박파겁치점식별적연구，제출일충신적산법즉기우이계도수적겁치점래대응원시맥박파적괴점，천술산법원리，장기여전통적침대원시파형적겁치법진행대비，실천증명，기우이계도수적겁치점식별법경준학차은정성교호。
This paper is mainly talking about the recognition of the pulse wave’s extreme point, and puts forward a new algo?rithm based on the extreme point of the second derivative which corresponds to the inflection point of the original pulse wave ,It elaborates the algorithm principle and compares the new algorithm and the traditional extreme value method for the original wave .The practice has proved that the new is more accurate and its error is smaller.
