In this paper, photoplethysmogram (PPG) signals from two classes consisting of healthy and diabetic subjects have been used to estimate the parameters of Auto-Regressive Moving Average (ARMA) models. The healthy class...In this paper, photoplethysmogram (PPG) signals from two classes consisting of healthy and diabetic subjects have been used to estimate the parameters of Auto-Regressive Moving Average (ARMA) models. The healthy class consists of 70 healthy and the diabetic classes of 70 diabetic patients. The estimated ARMA parameters have then been averaged for each class, leading to a unique representative model per class. The order of the ARMA model has been selected as to achieve the best classification. The resulting model produces a specificity of %91.4 and a sensitivity of, %100. The proposed technique may find applications in determining the diabetic state of a subject based on a non-invasive signal.展开更多
针对当前光电容积描记法测量血压方法复杂,不适用于低功耗可穿戴设备的问题。文中在脉搏波时域特征参数法的基础上,提出了一种基于单路光电容积脉搏波(Photoplethysmography,简称PPG)的连续血压检测算法。选用MAX30102脉搏波传感器采集...针对当前光电容积描记法测量血压方法复杂,不适用于低功耗可穿戴设备的问题。文中在脉搏波时域特征参数法的基础上,提出了一种基于单路光电容积脉搏波(Photoplethysmography,简称PPG)的连续血压检测算法。选用MAX30102脉搏波传感器采集PPG信号,对脉搏波依次进行均匀滤波、周期分割、基线校准和归一化后,识别脉搏波的特征点并计算特征值。进而以特征值探究与血压之间的关系,建立血压回归模型。试验结果表明,该方法与充气式电子血压计的一致性较好,测量误差符合美国医疗器械促进学会(AAMI:Association for the Advancement of Medical Instrumentation)标准差不大于8 mmHg的范围。展开更多
文摘In this paper, photoplethysmogram (PPG) signals from two classes consisting of healthy and diabetic subjects have been used to estimate the parameters of Auto-Regressive Moving Average (ARMA) models. The healthy class consists of 70 healthy and the diabetic classes of 70 diabetic patients. The estimated ARMA parameters have then been averaged for each class, leading to a unique representative model per class. The order of the ARMA model has been selected as to achieve the best classification. The resulting model produces a specificity of %91.4 and a sensitivity of, %100. The proposed technique may find applications in determining the diabetic state of a subject based on a non-invasive signal.
文摘针对当前光电容积描记法测量血压方法复杂,不适用于低功耗可穿戴设备的问题。文中在脉搏波时域特征参数法的基础上,提出了一种基于单路光电容积脉搏波(Photoplethysmography,简称PPG)的连续血压检测算法。选用MAX30102脉搏波传感器采集PPG信号,对脉搏波依次进行均匀滤波、周期分割、基线校准和归一化后,识别脉搏波的特征点并计算特征值。进而以特征值探究与血压之间的关系,建立血压回归模型。试验结果表明,该方法与充气式电子血压计的一致性较好,测量误差符合美国医疗器械促进学会(AAMI:Association for the Advancement of Medical Instrumentation)标准差不大于8 mmHg的范围。
