Suppr超能文献

[日常非监督状态下脉搏率变异性提取方法的研究]

[The study on extraction method of pulse rate variability in daily unsupervised state].

作者信息

Qi Yusheng, Zhang Aihua, Ma Yurun

机构信息

College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, P.R.China;Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, P.R.China;National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, P.R.China.

College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, P.R.China;Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, P.R.China;National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050,

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2019 Apr 25;36(2):298-305. doi: 10.7507/1001-5515.201804015.

Abstract

The extraction of pulse rate variability(PRV) in daily life is often affected by exercise and blood perfusion. Therefore, this paper proposes a method of detecting pulse signal and extracting PRV in post-ear, which could improve the accuracy and stability of PRV in daily life. First, the post-ear pulse signal detection system suitable for daily use was developed, which can transmit data to an Android phone by Bluetooth for daily PRV extraction. Then, according to the state of daily life, nine experiments were designed under the situation of static, motion, chewing, and talking states, respectively. Based on the results of these experiments, synchronous data acquisition of the single-lead electrocardiogram (ECG) signal and the pulse signal collected by the commercial pulse sensor on the finger were compared with the post-auricular pulse signal. According to the results of signal wave, amplitude and frequency-amplitude characteristic, the post-ear pulse signal was significantly steady and had more information than finger pulse signal in the traditional way. The PRV extracted from post-ear pulse signal has high accuracy, and the accuracy of the nine experiments is higher than 98.000%. The method of PRV extraction from post-ear has the characteristics of high accuracy, good stability and easy use in daily life, which can provide new ideas and ways for accurate extraction of PRV under unsupervised conditions.

摘要

日常生活中脉搏率变异性(PRV)的提取常受运动和血液灌注影响。因此,本文提出一种在耳后检测脉搏信号并提取PRV的方法,可提高日常生活中PRV提取的准确性和稳定性。首先,开发了适用于日常使用的耳后脉搏信号检测系统,该系统可通过蓝牙将数据传输至安卓手机以进行日常PRV提取。然后,根据日常生活状态,分别设计了在静息、运动、咀嚼和说话状态下的九个实验。基于这些实验结果,将单导联心电图(ECG)信号与商用手指脉搏传感器采集的脉搏信号的同步数据采集结果与耳后脉搏信号进行比较。根据信号波形、幅度和频率 - 幅度特征,耳后脉搏信号明显更稳定,且比传统方式的手指脉搏信号包含更多信息。从耳后脉搏信号提取的PRV具有较高准确性,九个实验的准确率均高于98.000%。耳后PRV提取方法具有准确性高、稳定性好且便于日常生活使用的特点,可为无监督条件下PRV的准确提取提供新思路和方法。

相似文献

本文引用的文献

2
Hidden Signals-The History and Methods of Heart Rate Variability.隐藏信号——心率变异性的历史与方法
Front Public Health. 2017 Oct 16;5:265. doi: 10.3389/fpubh.2017.00265. eCollection 2017.
5
Single-Artery Human Ear Graft Procurement: A Simplified Approach.单动脉人耳移植获取:一种简化方法。
Plast Reconstr Surg. 2017 Sep;140(3):599-603. doi: 10.1097/PRS.0000000000003591.
9
Photoplethysmography.光电容积脉搏波描记法
Best Pract Res Clin Anaesthesiol. 2014 Dec;28(4):395-406. doi: 10.1016/j.bpa.2014.08.006. Epub 2014 Sep 9.
10
Feasibility and accuracy of nasal alar pulse oximetry.鼻腔鼻翼脉搏血氧饱和度测定的可行性和准确性。
Br J Anaesth. 2014 Jun;112(6):1109-14. doi: 10.1093/bja/aeu095. Epub 2014 Apr 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验