非接触式呼吸与心率信号采集系统

为实现卧床病员生命状态的无感实时监测, 设计了一种非接触式呼吸率与心率监测系统。首先, 根据心脏射血收缩过程的力学特性, 选择灵敏度高、稳定性好的压电陶瓷传感器采集心冲击力学信号。对信号进行去噪, 滤波放大等处理, 通过数字化采集得到心冲击图(Ballistocardiogram, BCG)。其次, 通过对心冲击图进行平滑滤波提取呼吸信号, 利用快速傅氏变换(FFT)获取呼吸信号频率。采用带通滤波器去除BCG信号的呼吸包络以及高频干扰, 获取BCG信号的单位时间J波波峰数, 推算出心率值。最后, 为验证系统的准确性与一致性, 与 BIOPAC采集的呼吸及心电图(Electrocardiogram, ECG)信号进行比对, 结果表明本系统呼吸误差率小于4.5%, 心率误差率小于9.7%。通过Bland-Altman分析, 表明监测系统的心率测算准确度与BIOPAC具有较好的一致性。

Abstract

A non-contact respiratory and heart rate monitoring system was designed to monitor bedridden patients. Initially, according to the mechanical properties of the cardiac ejection contraction process, piezoelectric ceramic sensors with high sensitivity and good stability were selected to acquire ballistocardiography (BCG) signals. The collected signal was then desiccated, filtered and amplified; it was then digitized to obtain a heart impact diagram. A respiratory signal was then extracted from the cardiogram with smooth filtering, and the respiratory rate signal was obtained via an FFT transformation. The respiratory envelope and high-frequency interference of the BCG signal were removed using a band-pass filter, and the j-wave peak measurement of the BCG signal was obtained to calculate the heart rate. Finally, to verify the accuracy and consistency of the system, it was compared with respiratory data collected by BIOPAC and ECG signals. The respiratory error rate of the system is less than 4.5% and the heart rate error is 9.7%. A Bland-Altman analysis indicates that the heart rate measurement and accuracy computed by the monitoring system are consistent with those of BIOPAC.

参考文献

[1] 蔡娟. 床边责任制护理在心血管内科中的应用分析及对睡眠质量的影响［J］. 世界睡眠医学杂志, 2018, 5(6): 715-716.

CAI J. Application of bedside responsibility nursing in cardiovascular medicine and effect on sleep quality ［J］. World Journal of Sleep Medicine, 2018, 5(6): 715-706. (in Chinese)

[2] LAKSHMI D B, VISHVAKSENAN K S, SENTHAMIL S K, et al.. Patient monitoring system using cognitive internet of things ［J］. Journal of Medical Systems, 2018, 42(11): 229.

[3] ZHANG W P, KUMAR M, YU J F, et al.. Medical long-distance monitoring system based on internet of things ［J］. Eurasip Journal on Wireless Communications & Networking, 2018, 1: 176.

[4] WEENK M, VAN G H, FRIETMAN B, et al.. Continuous monitoring of vital signs using wearable devices on the general ward: pilot study ［J］. Jmir Mhealth & Uhealth, 2017, 5(7): e91.

[5] GANESAN M, LAVANYA R, SUMESH E P. A survey on ballistocardiogram to study the mechanical activity of heart ［C］. 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India: IEEE, 2017: 557-561.

[6] NEDOMA J, KEPAK S, FAJKUS M, et al.. Magnetic resonance imaging compatible non-invasive fibre-optic sensors based on the bragg gratings and interferometers in the application of monitoring heart and respiration rate of the human body: a comparative study ［J］. Sensors, 2018, 18(11): 3713.

[7] WUSK G, GABLER H. Non-invasive detection of respiration and heart rate with a vehicle seat sensor ［J］. Sensors, 2018, 18(5): 1463.

[8] BRUSER C, ZINK M.D.H, WINTER S, et al.. A feasibility study on the automatic detection of atrial fibrillation using an unobtrusive bed-mounted sensor ［C］. 2011 Conference on Computing in Cardiology, Hangzhou, P.R.Chian: IEEE, 2011: 13-16.

[9] ZINK M D, BRUSER C, STUBEN B O, et al.. Unobtrusive nocturnal heartbeat monitoring by a ballistocardiographic sensor in patients with sleep disordered breathing ［J］. Scientific Reports, 2017, 7(1): 13175.

[10] ETEMADI M, HERSEK S, TSENG J M, et al.. Tracking Clinical status for heart failure patients using ballistocardiography and electrocardiography signal features ［C］. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, USA: IEEE, 2014: 5188-5191.

[11] NAZIYOK T P, ZELEKE A A, ROHRIG R. Contactless patient monitoring for general wards: a systematic technology review［J］. Studies in Health Technology & Informatics, 2016, 228: 707-711.

[12] 张先文, 张丽岩, 丁力超, 等. 基于心冲击信号的心率检测［J］. 清华大学学报: 自然科学版, 2017, 57(7): 763-767.

ZHANG X W, ZHANG L Y, DING L CH, et al.. Heartbeat detection based on ballistocardiograms ［J］. Journal of Tsinghua University (Science and Technology), 2017, 57(7): 763-767. (in Chinese)

[13] 肖磊, 李红利, 张先文, 等. 一种可穿戴式心冲击信号-心电信号联合采集系统［J］. 生物医学工程学杂志, 2018, 35(5): 727-732.

XIAO L, LI H L, ZHANG X W, et al.. A wearable ballistocardiogram-electrocardiogram union acquisition system ［J］. Journal of Biomedical Engineering, 2018, 35(5): 727-732. (in Chinese)

[14] DU G F, LI Z, SONG G B. A PVDF-based sensor for internal stress monitoring of a Concrete-Filled Steel Tubular (CFST) column subject to impact loads［J］. Sensors, 2018, 18(6): 1682.

[15] 王明洋, 徐子章, 岳松林, 等. PVDF压力计在相似材料动态力学参数测试中的应用［J］. 北京理工大学学报, 2017, 37(10): 991-997.

WANG M Y, XU Z ZH, YUE S L, et al.. Calibration of PVDF pressure gauge and its application in dynamic parameters tests of similar materials ［J］. Transactions of Beijing Institute of Technology, 2017, 37(10): 991-997. (in Chinese)

[16] 贾大功, 赵静, 张红霞, 等. 抗电磁干扰的心电信号监测系统［J］. 光学精密工程, 2018, 26(5): 1165-1174.

JIA D G, ZHAO J, ZHANG H X, et al.. Anti-electromagnetic interference electrocardiogram monitoring system ［J］. Opt. Precision Eng., 2018, 26(5): 1165-1174. (in Chinese)

[17] DAS S, PAL S, MITRA M. Real time heart rate detection from PPG signal in noisy environment［C］. 2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI), Kolkata, India: IEEE, 2017: 70-73.

[18] YY 1079-2008, 心电监护仪［S］.

YY 1079-2008, Electrocardiographic Monitors ［S］. (in Chinese)

[19] 李镒冲, 李晓松. 两种测量方法定量测量结果的一致性评价［J］. 现代预防医学, 2007, 34(17): 3263-3266.

LI Y CH, LI X S. Evaluation on different assessment methods of consistency of quantitative measurements［J］. Modern Preventive Medicine, 2007, 34(17): 3263-3266. (in Chinese)

[20] GIAVARINA D. Understanding bland altman analysis［J］. Biochemia Medica, 2015, 25(2): 141-151.

[21] BLAND J M, ALTMAN D G. Statistical methods for assessing agreement between two methods of clinical measurement［J］. The Lancet, 1986, 327(8476): 307-310.

郭健, 陈雨行, 王丽荣, 韦阳, 郭宇, 赵也明, 刘丽兰, 陈晓禾. 非接触式呼吸与心率信号采集系统[J]. 光学精密工程, 2019, 27(6): 1354. GUO Jian, CHEN Yu-hang, WANG Li-rong, WEI Yang, GUO Yu, ZHAO Ye-ming, LIU Li-lan, CHEN Xiao-he. Non-contact respiratory rate and heart rate signal acquisition system[J]. Optics and Precision Engineering, 2019, 27(6): 1354.

非接触式呼吸与心率信号采集系统

关于本站 Cookie 的使用提示

全站搜索

非接触式呼吸与心率信号采集系统

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索