摘要
目的将小波分析运用于电流前庭刺激对人体静态平衡影响的研究中,探究电流前庭刺激(GVS)对姿态摆动不同信号成分的影响。方法对18名受试者在有无GVS两种状态下的压力中心(COP)摆动信号进行小波分解,并分析功率谱密度。用功率谱密度的差异来评价GVS对COP摆动不同信号成分的影响。结果COP摆动小波分解信号的Trembling(Tr)成分表现出间歇性变化的特点,而Rambling(Rm)信号的时域特征不明显。人体姿态抖动Rambling(Rm)信号的功率谱密度值没有表现出显著性差异(P>0.05),Trembling(Tr)信号的功率谱密度值表现出了显著性差异(P<0.01)。分析得到GVS对人体平衡姿态摆动中的Tr信号部分有改善作用,对Rm信号部分改善并不明显;对M/L方向的改善大于A/P方向;对髋关节稳定性的改善作用要优于踝关节。结论小波分解和功率谱密度分析是一种有效分析姿态摆动信号不同成分及其对应作用的方法。
Objective Wavelet analysis was applied in the study of effects of galvanic vestibular stimulation(GVS)on the static balance of human body and the effects of GVS on different signal components of balance posture were investigated.Methods Wavelet analysis was used to decompose the center of pressure(COP)swing signals obtained from the 18 subjects under two states(GVS and Non-GVS)and then the power spectral density was analyzed.The differences of power spectral density between decomposition signals were used to evaluate the effects of GVS on the COP swing pattern.Results The Trembling(Tr)component of the COP swing signals through wavelet decomposition exhibited intermittent changes,while the characteristics of time domain of the Rambling(Rm)component were not obvious.Comparing the results of the two experiments,the power spectral density values of the Rambling(Rm)signal did not show significant difference(P>0.05),whereas the power spectral density values of the Trembling(Tr)signal showed a significant difference(P<0.01).The analysis showed that GVS could improve the Tr part of the swing signal of the body balance posture,but not the Rm part.The improvement of hip joint stability was better than that of ankle joint,and M/L direction was greater than that in A/P direction through GVS.Conclusion The wavelet decomposition and power spectral density analyses for COP swing signals are effective methods to analyze the corresponding effects of different components of the posture swing signal.
作者
周籽佑
陈凯
陈洪梅
刘荣
Zhou Ziyou;Chen Kai;Chen Hongmei;Liu Rong(School of Mechanical Engineering,Hangzhou Danzi University,Hangzhou 310018,China)
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2019年第6期531-538,共8页
Space Medicine & Medical Engineering
基金
浙江省重点科技计划项目(项目编号：2017C03040,2018C37079)
关键词
静态平衡
人体压力中心
小波分析
功率谱密度
电刺激
static balance
human pressure center
wavelet analysis
power spectral density
electrical stimulation
