Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method
Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method
复制标题
Hilbert-Huang变换和时域法对冠心病患者脉搏信号进行分析
DOI：
10.1007/s11655-015-2173-7
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发表时间：
2015-05-01
影响因子：
2.9
通讯作者：
Wang Yi-qin
中科院分区：
文献类型：
--
作者：
Li Fu-feng;Sun Ren;Wang Yi-qin
为探讨脉搏信号特征对冠心病（CHD）患者、非CHD患者及健康成人的鉴别诊断价值，评价脉搏信号在CHD诊断中的潜在作用，将来自4个合作医疗中心的407例CHD患者分为CHD组（205例）和非CHD组（202例）。健康对照组62例，来自上海中医药大学。采用同步多路脉冲信号采集系统采集脉冲信号。分别采用希尔伯特-黄变换（HHT）和时域方法对脉象信号进行分析和提取。对脉搏信号的时域参数进行方差分析结果显示：冠心病组脉象信号的时域参数h（1）、h（3）、h（4）、h（3）/h（1）、t（s）、t（4）/t增大，w增宽;（2）HHT时44%的C-2波表现为混乱、无序，72%的C波表现为不规则，平均振幅大于10 g，采用HHT和时域分析方法提取脉象信号的特征波形和时域参数，这可能是一个非侵入性的方法来评估冠心病患者。
To explore characteristic of pulse signal to distinguish patients with coronary heart diseases (CHD) from patients without CHD and healthy adults, and accordingly evaluate the potential role of pulse signal to diagnosis CHD.Totally 407 patients enrolled from 4 collaborating medical centers were assigned to a CHD group (205 patients) and a non-CHD group (202 patients). The healthy control group (62 adults) enrolled from Shanghai University of Traditional Chinese Medicine. Pulse signals were collected using the synchronous multiplex pulse signal acquisition system. The pulse signals were analyzed and extracted using Hilbert-Huang transformation (HHT) and time-domain, respectively. The time-domain parameters of pulse signal were processed by the analysis of variance (SNK test).Special patterns in the CHD group pulse signal were found in this study: (1) time-domain parameters of pulse signal, h(1), h(3), h(4), h(3)/h(1), t(s), t(4)/t were increased and w was wider; (2) 44% of C-2 waves in HHT were chaotic and disordered and 72% of C waves were exhibited irregularly with average amplitude over 10 g-forces, which were all significantly different from controls.Characteristic wave and time-domain parameters of pulse signal were extracted using HHT and time-domain which could be served as a non-invasive approach for assessing patients with CHD.