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基于光电容积脉搏波波形分析的运动负荷评价 被引量:2

Exercise load test based on photoelectric pulse wave assessment
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摘要 目的能量消耗是衡量运动负荷最直接的指标。本文的研究目的是利用脉搏波波形来衡量运动负荷,从而为基于可穿戴设备的运动负荷评价技术提供基础。方法招募32名年龄为18~60岁的正常人作为受试者,采用指夹式光电容积脉搏波传感器对受试者的脉搏波进行采集,使用K4b2心肺功能测试仪获取的能量消耗作为金标准进行功率自行车实验,从而获得脉搏波波形特征与能量消耗之间的关系。结果在静息状态下,脉搏波周期、主波峰值、脉搏波面积的数值较为稳定;而在功率车运动状态下,脉搏波波形周期平均值、主波峰值、脉搏波面积的平均值变小,三者标准差则增大。实验结果表明,脉搏波波形幅值对时间的积分J与能量消耗E在静止、功率车运动状态下皆呈线性关系,两者拟合直线的斜率之比为常数。结论使用光电容积脉搏波波形对运动负荷进行评估是可行的。利用脉搏波波形特征,可以较为准确地拟合出运动中的能量消耗,从而评价运动负荷。 Objective Energy consumption is the most direct measurement method for exercise load.The objective of this paper is to use the pulse waveform to measure the exercise load,which may provide foundation for the technology of exercise load test based on wearable devices.Methods The experiment is taken on 32 normal people with the age between 18 and 60 years old,with the finger-type photoelectric pulse wave sensor to measure the pulse w ave,and the K4b2 pulmonary function equipment to measure the energy consumption as the golden standard to get the relationship between the pulse wave and energy consumption.Results The period of pulse wave,the amplitude of the main pulse wave and the area of the pulse waveform are more stable in the quiescent state,and decrease in the motion state with increased standard deviations of these three parameters.The experimental results show that the relationship between the integration on time for the pulse waveform amplitude and the energy consumption is linear,and the slope for the optimum fitting line is a constant.Conclusions The exercise load test with finger-type photoelectric pulse wave sensor is available.The pulse waveform feature can fit the energy consumption correctly to measure the exercise load.
作者 吴玮莹 战鹏弘 张志敏 王玲 樊瑜波 张弛 WU Weiying;ZHAN Penghong;ZHANC Zhimin;WANC Ling;FAN Yubo;ZHANC Chi(School of Biological Science and Medical Engineering,Beihang University,Beijing 100191)
出处 《北京生物医学工程》 2018年第2期136-143,181,共9页 Beijing Biomedical Engineering
基金 国家自然科学基金(11672026)资助
关键词 脉搏波 能量消耗 运动负荷 线性回归 传感器 pulse wave energy consumption exercise load linear regression sensor
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