摘要
本研究提出了一种基于脉搏波舒张期时间(diastolic time,DT)的无袖带式血压估计方法,能够有效提升可穿戴式设备的血压测量精度。该方案首先从脉搏波(photoplethysmography,PPG)中提取DT,再利用线性回归方法建立个体化血压估计模型。本研究对采集的30个样本的实验数据,进行血压建模并加以验证,实验结果显示收缩压的平均误差为1.859 mmHg,标准差为5.640 mmHg;舒张压的平均误差为1.049mmHg,标准差为6.107 mmHg,证明了该方案的可行性。通过将该方案的估计结果与基于脉搏波传导时间(pulse transit time,PTT)的血压模型的估算结果进行对比研究,结果表明交感神经活动较强时,基于DT的血压模型能够有效提升血压估计精度。
To propose a cuff-less blood pressure measurement method based on diastolic time of photoplethysmography,it could effectively improve the estimation accuracy for wearable devices. By using linear regression between diastolic time and blood pressure,individualized blood pressure estimation model was established. Blood pressure models were built on the data from 30 volunteers and the performance of the models were tested. The experiment result showed that the mean difference and standard deviation between the estimated value and reference value were（ 1. 859 ± 5. 640） mmHg for SBP and（ 1. 049 ± 6. 107） mmHg for DBP,it demonstrated the feasibility of the method. Finally,the result were compared to the result from the model based on pulse transit time. It shows that the method proposed can effectively improve BP estimation accuracy while sympathetic nerve activity is strong.
出处
《生物医学工程研究》
北大核心
2017年第2期126-132,共7页
Journal Of Biomedical Engineering Research
基金
国家自然科学基金资助项目(No.61502472)
关键词
血压
舒张期时间
脉搏波
无袖带
脉搏波传导时间
Blood pressure
Diastolic Time
Photoplethysmography
Cuff-less
Pulse transit time
