School of Electrical and Information Engineering, North Minzu University, No. 204 North - Wenchang St., Xixia District, Yinchuan, Ningxia, 750021, China.
School of Computer and Information, Hefei University of Technology, No. 193, Tunxi Rd., Hefei, Anhui, 230009, China.
Sci Rep. 2018 Oct 25;8(1):15771. doi: 10.1038/s41598-018-34091-6.
To investigate the value of decomposed short-time digital volume pulse (DVP) signals in discerning systemic vascular anomaly in diabetic patients, demographic and anthropometric parameters, serum lipid profile, fasting blood glucose and glycated hemoglobin (HbA1c) levels were obtained from 29 healthy adults (Group 1) and 29 age-matched type 2 diabetes mellitus patients (Group 2). Six-second DVP signals from right index finger acquired through photoplethysmography were decomposed using ensemble empirical mode decomposition. Using one intrinsic mode function (IMF5), stiffness index (SI) and instantaneous energy of maximal energy (f) were obtained. Other indicators of arterial stiffness, including electrocardiogram-pulse wave velocity of foot (ECG-PWV), crest time (CT) and crest time ratio (CTR), were obtained from the testing subjects for comparison. The mean body weight, body mass index, waist circumference, HbA1c and fasting blood sugar levels were higher in Group 2 than those in Group 1, whereas values of systolic and diastolic blood pressure were lower in Group 2 than those in Group 1. SI and f were significantly higher in Group 2 than those in Group 1. Moreover, f was positively associated with HbA1c concentration, CT and SI in Group 2 (p < 0.05) but not in Group 1. When all subjects were considered, f was highly significantly associated with HbA1c and fasting blood sugar levels, and SI (all p < 0.001). After Hilbert-Huang transformation, short-time DVP signals could give significant information on arterial stiffness and vascular anomaly in diabetic patients.
为了探究分解短时数字容积脉搏（DVP）信号在鉴别糖尿病患者系统性血管异常中的价值，我们从 29 名健康成年人（第 1 组）和 29 名年龄匹配的 2 型糖尿病患者（第 2 组）中获取了人口统计学和人体测量参数、血清脂质谱、空腹血糖和糖化血红蛋白（HbA1c）水平。通过光体积描记法获得右手食指的 6 秒 DVP 信号，并使用集合经验模态分解对其进行分解。使用一个固有模态函数（IMF5），获得了硬度指数（SI）和最大能量的瞬时能量（f）。从测试对象中获得了其他动脉僵硬指标，包括心电图-足部脉搏波速度（ECG-PWV）、波峰时间（CT）和波峰时间比（CTR），以便进行比较。第 2 组的平均体重、体重指数、腰围、HbA1c 和空腹血糖水平均高于第 1 组，而第 2 组的收缩压和舒张压均低于第 1 组。第 2 组的 SI 和 f 均显著高于第 1 组。此外，f 与第 2 组的 HbA1c 浓度、CT 和 SI 呈正相关（p<0.05），但与第 1 组无关。当考虑所有受试者时，f 与 HbA1c 和空腹血糖水平以及 SI 高度相关（均 p<0.001）。经过希尔伯特-黄变换后，短时 DVP 信号可以提供有关糖尿病患者动脉僵硬和血管异常的重要信息。
