相似文献/References:
[1]刘哲汝,张佃中,黄立清,等.基于SBF算法的HRV信号信息熵分析[J].中国医学物理学杂志,2014,31(01):4652.[doi:10.3969/j.issn.1005-202X.2014.01.013]
[2]陈秀文,杨荣骞,葛璐璐,等.Ewing试验对自主神经及心率变异性的影响[J].中国医学物理学杂志,2016,33(8):821.[doi:10.3969/j.issn.1005-202X.2016.08.014]
[J].Chinese Journal of Medical Physics,2016,33(02):821.[doi:10.3969/j.issn.1005-202X.2016.08.014]
[3]张杰,肖玲玲,张攀登,等.基于组合窗Welch法的心率变异性分析系统设计[J].中国医学物理学杂志,2017,34(2):194.[doi:10.3969/j.issn.1005-202X.2017.02.016]
Design of heart rate variability analysis system based on Welch method using combination window[J].Chinese Journal of Medical Physics,2017,34(02):194.[doi:10.3969/j.issn.1005-202X.2017.02.016]
[4]赵小静,路海月,王梦悦,等. 基于心率变异性的脑力疲劳检测[J].中国医学物理学杂志,2018,35(5):592.[doi:DOI:10.3969/j.issn.1005-202X.2018.05.017]
ZHAO Xiaojing,LU Haiyue,WANG Mengyue,et al. Mental fatigue detection based on heart rate variability[J].Chinese Journal of Medical Physics,2018,35(02):592.[doi:DOI:10.3969/j.issn.1005-202X.2018.05.017]
[5]赵婷婷,段晓丽,严碧歌. 青年与老年昼夜心率信号多尺度化的基本尺度熵分析[J].中国医学物理学杂志,2019,36(1):88.[doi:DOI:10.3969/j.issn.1005-202X.2019.01.017]
ZHAO Tingting,DUAN Xiaoli,YAN Bige. Multiscale base-scale entropy analysis of heart rate variability signals in the young and the elderly[J].Chinese Journal of Medical Physics,2019,36(02):88.[doi:DOI:10.3969/j.issn.1005-202X.2019.01.017]
[6]董红生,刘青,林娟,等. 基于短时心率变异性信号两种熵测度的过速型室性心律失常的预测分析[J].中国医学物理学杂志,2019,36(10):1217.[doi:DOI:10.3969/j.issn.1005-202X.2019.10.020]
DONG Hongsheng,LIU Qing,LIN Juan,et al. Predictive analysis on ventricular tachyarrhythmia using two entropy measures of short-term heart rate variability signals[J].Chinese Journal of Medical Physics,2019,36(02):1217.[doi:DOI:10.3969/j.issn.1005-202X.2019.10.020]
[7]冯慧,吴钟伟,刘超权.冠心病患者心率变异性指标与冠状动脉病变程度的关系[J].中国医学物理学杂志,2019,36(12):1472.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.021]
FENG Hui,WU Zhongwei,LIU Chaoquan.Relationship between heart rate variability indexes and severity of coronary artery lesions in patients with coronary heart diseases[J].Chinese Journal of Medical Physics,2019,36(02):1472.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.021]
[8]孟凡宸,曹乐,阚秀,等.基于反向传播神经网络和医疗物联网的心理压力评估方法[J].中国医学物理学杂志,2022,39(7):886.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.017]
MENG Fanchen,CAO Le,KAN Xiu,et al.Psychological pressure detection system based on BP network and IoMT[J].Chinese Journal of Medical Physics,2022,39(02):886.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.017]
[9]牛晓东,柴国强,王大为,等.基于心率变异性的阵发性心房颤动预测方法[J].中国医学物理学杂志,2024,41(5):579.[doi:DOI:10.3969/j.issn.1005-202X.2024.05.008]
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