警员可穿戴多体征参数监测系统的设计
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摘要
为了实现公安、消防等高危职业的体征参数监测,以公安日常装备(警盔和T恤)为可穿戴载体,设计了一种体征参数监测系统,实现血氧饱和度、心电、心率的检测、传输和显示。警盔利用反射式探头采集光电容积脉搏波PPG(photoplethysmography)信号,检测血氧饱和度;T恤利用导电硅胶和ADS1292R采集心电ECG(electrocardiogram)信号,检测心电和心率;APP实现体征参数的实时显示。实验表明,ECG信号R波定位的准确率能达到98.5%以上;与标准监护仪对比,血氧、心率的平均误差都较低,血氧的最大误差在5%以内,心率的最大误差在10次/min以内。在不影响正常活动下,系统能够满足国际标准对实时体征参数监测的要求。首次设计了一套适用于警员的可穿戴体征参数监测系统,并实现了参数监测的准确度和稳定性。
To achieve sign parameters monitoring of police,firefighters and other high-risk occupations,a monitoring system was designed to achieve detection,transmission and display of oxygen saturation,electrocardiogram(ECG)and heart rate.The police helmet used reflection probe to acquire photoplethysmography(PPG)signal,detecting oxygen saturation.The police T-shirt used conductive silicone and ADS1292R to acquire ECG signal,detecting ECG and heart rate.The APP achieved real-time display of sign parameters.Experiments show,the accurate location of ECG’s R wave can reach above 98.5%.Compared with standard monitors,the average error of oxygen saturation and heart rate is low,the maximum error of oxygen saturation is within 5%,and the maximum error of heart rate is within10 BPM.The system can meet the international standard for real-time sign parameters monitoring while not affecting the normal activities.A set of wearable signs parameters monitoring system for police was designed for the first time,which achieved the accuracy and stability of parameters monitoring.
To achieve sign parameters monitoring of police,firefighters and other high-risk occupations,a monitoring system was designed to achieve detection,transmission and display of oxygen saturation,electrocardiogram(ECG)and heart rate.The police helmet used reflection probe to acquire photoplethysmography(PPG)signal,detecting oxygen saturation.The police T-shirt used conductive silicone and ADS1292R to acquire ECG signal,detecting ECG and heart rate.The APP achieved real-time display of sign parameters.Experiments show,the accurate location of ECG’s R wave can reach above 98.5%.Compared with standard monitors,the average error of oxygen saturation and heart rate is low,the maximum error of oxygen saturation is within 5%,and the maximum error of heart rate is within10 BPM.The system can meet the international standard for real-time sign parameters monitoring while not affecting the normal activities.A set of wearable signs parameters monitoring system for police was designed for the first time,which achieved the accuracy and stability of parameters monitoring.
引文
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[13]Lai Dakun,Zhang Fei,Wang Cong.A Real-Time QRS Complex Detection Algorithm Based on Differential Threshold Method[C]//2015 IEEE International Conference on Digital Signal Processing(DSP),Singapore:IEEE Press,2015:129-133.
[14]陈颖昭,高跃明,甘振华,等.基于STM32的便携式家用心电检测仪的设计[J].电子技术应用,2013,39(9):18-20.
[2]Ren Yanhua,Yi Xueren.Thinking of China Emergency Rescue System of Education and Training[C]//2011 International Conference on Information Systems for Crisis Response and Management(ISCRAM),Harbin:IEEE Press,2011:342-346.
[3]Jeyhani V,Mahdiani S,Peltokangas M,et al.Comparison of HRV Parameters Derived from Photoplethysmography and Electrocardiography Signals[C]//2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC),Milan:IEEE Press,2015:5922-5955.
[4]Vanitha L,Suresh G R.Hybrid SVM Classi-Fication Technique to Detect Mental Stress in Human Beings Using ECG Signals[C]//2013 International Conference on Advanced Computing and Communication Systems(ICACCS),Coimbatore:IEEE Press,2013:1-6.
[5]Jain S K,Bhaumik B.An Ultra Low Power ECG Signal Processor Design for Cardiovascular Disease Detection[C]//2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC),Milan:IEEE Press,2015:857-860.
[6]刘广伟,毛陆虹,谢生,等.一种光电反射式脉搏血氧监测方法[J].光电子·激光,2014,25(3):620-624.
[7]Wang Yishan,Wunderlich R,Heinen S.Design and Evaluation of a Novel Wireless Reconstructed 3-Lead ECG Monitoring System[C]//2013 IEEE Conference on Biomedical Circuits and Systems(Bio CAS),Rotterdam:IEEE Press,2013:362-365.
[8]秦颖,张晶,蔡靖,等.基于交直流分离的反射式血氧饱和度测量系统的设计[J].传感技术学报,2015,28(6):933-937.
[9]洋洋,陈小惠,王保强,等.脉搏信号中有效信号识别与特征提取方法研究[J].电子测量与仪器学报,2016,30(1):126-132.
[10]刘艳丽,赵为松,李海坤,等.基于形态滤波的PPG信号基线漂移消除方法研究[J].合肥工业大学学报(自然科学版),2011,34(4):525-528.
[11]Mahipal S C,Rajiv K K,Akshay K S.Comparison Between Different Wavelet Transforms and Thresholding Techniques for ECG Denoising[C]//2014 International Conference on Advances in Engineering and Technology Research(ICAETR),Unnao:IEEE Press,2014:1-6.
[12]Pang G,Ma C.A Neo-Reflective Wrist Pulse Oximeter[J].IEEE Access,2014,2:1562-1567.
[13]Lai Dakun,Zhang Fei,Wang Cong.A Real-Time QRS Complex Detection Algorithm Based on Differential Threshold Method[C]//2015 IEEE International Conference on Digital Signal Processing(DSP),Singapore:IEEE Press,2015:129-133.
[14]陈颖昭,高跃明,甘振华,等.基于STM32的便携式家用心电检测仪的设计[J].电子技术应用,2013,39(9):18-20.