Research on Detection Method with Wearable Respiration Device Based on the Theory of Bio-impedance_Journal of Biomedical Engineering

Authors：

LIUGuangda , WANGXianzhong ,  CAIJing , WANGWei , ZHAYutong

College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China;

Corresponding author：

CAIJing, Email: caijing@jlu.edu.cn

Keywords：

monitoring of respiration; bio-impedance; discrete Fourier transform; wearable; respiratory rate

DOI：

10.7507/1001-5515.20160176

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Considering the importance of the human respiratory signal detection and based on the Cole-Cole bio-impedance model, we developed a wearable device for detecting human respiratory signal. The device can be used to analyze the impedance characteristics of human body at different frequencies based on the bio-impedance theory. The device is also based on the method of proportion measurement to design a high signal to noise ratio (SNR) circuit to get human respiratory signal. In order to obtain the waveform of the respiratory signal and the value of the respiration rate, we used the techniques of discrete Fourier transform (DFT) and dynamic difference threshold peak detection. Experiments showed that this system was valid, and we could see that it could accurately detect the waveform of respiration and the detection accuracy rate of respiratory wave peak point detection results was over 98%. So it can meet the needs of the actual breath test.

Citation： LIUGuangda, WANGXianzhong, CAIJing, WANGWei, ZHAYutong. Research on Detection Method with Wearable Respiration Device Based on the Theory of Bio-impedance. Journal of Biomedical Engineering, 2016, 33(6): 1103-1109. doi: 10.7507/1001-5515.20160176 Copy

1.	孙薇. 睡眠呼吸暂停综合征的监测与治疗关键算法研究[D].广州:南方医科大学,2014.http://cdmd.cnki.com.cn/Article/CDMD-90023-1014338471.htm.
2.	范霖, 陈向东,李宁.基于快速响应湿度传感器的无线呼吸检测系统[J].传感器与微系统,2015,34(3):84-86.
3.	张政波, 毕亚琼,俞梦孙,等.穿戴式呼吸感应体积描记用于睡眠呼吸事件检测[J].生物医学工程学杂志,2008,25(2):318-322.
4.	LEANDERSON S, LAGUNA P, SÖRNMO L. Estimation of the respiratory frequency using spatial information in the VCG[J]. Med Eng Phys, 2003, 25(6): 501-507.
5.	ROOPA G, RAJANNA K, NAYAK M M. Non-invasive human breath sensor[C]//2011 IEEE Sensors. Limerick: IEEE, 2011: 1788-1791.
6.	王建波. 阻抗式呼吸检测的动态适应性研究[D].广州:南方医科大学,2009.http://cdmd.cnki.com.cn/Article/CDMD-90023-2009249431.htm.
7.	刘光达, 郭维,李肃义,等.穿戴式人体参数连续监测系统[J].吉林大学学报:工学版,2011,41(3):771-775.
8.	王春艳. 应用于肺部检测的电阻抗成像系统[D].天津:天津大学,2007.http://cdmd.cnki.com.cn/Article/CDMD-10056-2008183918.htm.
9.	SCHWAN H P. Electrical properties of tissue and cell suspensions[J]. Advances in Biological&Medical Physics, 1957, 5: 147-209.
10.	COLE K S. Electric impedance of suspensions of spheres[J]. J Gen Physiol, 1928, 12(1): 29-36.
11.	GRIMNES S, MARTINSEN O G. Bioimpedance and bioelectricity basics [M]. 2nd Ed. Great Britain: Academic Press, 2008.
12.	ULBRICH M, MUHLSTEFF J, TEICHMANN D, et al. A thorax simulator for complex dynamic bioimpedance measurements with textile electrodes[J]. IEEE Trans Biomed Circuits Syst, 2015, 9(3): 412-420.
13.	BAKER L E. Applications of the impedance technique to the respiratory system[J]. IEEE Eng Med Biol Mag, 1989, 8(1): 50-52.
14.	王斯亮. 精密生物阻抗谱测量系统及其在经络研究中的应用[D].天津:天津大学,2008.http://cdmd.cnki.com.cn/Article/CDMD-10056-2009071689.htm.
15.	JAIN V K, COLLINS W L, DAVIS D C. High-accuracy analog measurements via interpolated FFT[J]. IEEE Trans Instrum Meas, 1979, 28(2): 113-122.
16.	齐国清, 贾欣乐.基于DFT相位的正弦信号幅度高精度估计[J].大连海事大学学报,2001,27(3):71-74,78.
17.	张爱华, 王平,丑永新.基于动态差分阈值的脉搏信号峰值检测算法[J].吉林大学学报:工学版,2014,44(3):847-853.
18.	吴建, 李康,庞宇,等.基于差分阈值与模板匹配的心电R波提取算法[J].重庆邮电大学学报:自然科学版,2015,27(3):372-376.
19.	LEE E M, KIM N H, TRANG N T, et al. Respiratory rate detection algorithms by photoplethysmography signal processing[C]//2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vancouver, BC, 2008: 1140-1143.
20.	孟妍, 郑刚,戴敏.可穿戴式心电信号采集电极的研究[J].天津理工大学学报,2014,30(5):22-25,51.
21.	郭维. 穿戴式人体生理参数监测系统的研究与实现[D].长春:吉林大学,2012.http://cdmd.cnki.com.cn/Article/CDMD-10183-1012365744.htm.

1. 孙薇. 睡眠呼吸暂停综合征的监测与治疗关键算法研究[D].广州:南方医科大学,2014.http://cdmd.cnki.com.cn/Article/CDMD-90023-1014338471.htm.
2. 范霖, 陈向东,李宁.基于快速响应湿度传感器的无线呼吸检测系统[J].传感器与微系统,2015,34(3):84-86.
3. 张政波, 毕亚琼,俞梦孙,等.穿戴式呼吸感应体积描记用于睡眠呼吸事件检测[J].生物医学工程学杂志,2008,25(2):318-322.
4. LEANDERSON S, LAGUNA P, SÖRNMO L. Estimation of the respiratory frequency using spatial information in the VCG[J]. Med Eng Phys, 2003, 25(6): 501-507.
5. ROOPA G, RAJANNA K, NAYAK M M. Non-invasive human breath sensor[C]//2011 IEEE Sensors. Limerick: IEEE, 2011: 1788-1791.
6. 王建波. 阻抗式呼吸检测的动态适应性研究[D].广州:南方医科大学,2009.http://cdmd.cnki.com.cn/Article/CDMD-90023-2009249431.htm.
7. 刘光达, 郭维,李肃义,等.穿戴式人体参数连续监测系统[J].吉林大学学报:工学版,2011,41(3):771-775.
8. 王春艳. 应用于肺部检测的电阻抗成像系统[D].天津:天津大学,2007.http://cdmd.cnki.com.cn/Article/CDMD-10056-2008183918.htm.
9. SCHWAN H P. Electrical properties of tissue and cell suspensions[J]. Advances in Biological&Medical Physics, 1957, 5: 147-209.
10. COLE K S. Electric impedance of suspensions of spheres[J]. J Gen Physiol, 1928, 12(1): 29-36.
11. GRIMNES S, MARTINSEN O G. Bioimpedance and bioelectricity basics [M]. 2nd Ed. Great Britain: Academic Press, 2008.
12. ULBRICH M, MUHLSTEFF J, TEICHMANN D, et al. A thorax simulator for complex dynamic bioimpedance measurements with textile electrodes[J]. IEEE Trans Biomed Circuits Syst, 2015, 9(3): 412-420.
13. BAKER L E. Applications of the impedance technique to the respiratory system[J]. IEEE Eng Med Biol Mag, 1989, 8(1): 50-52.
14. 王斯亮. 精密生物阻抗谱测量系统及其在经络研究中的应用[D].天津:天津大学,2008.http://cdmd.cnki.com.cn/Article/CDMD-10056-2009071689.htm.
15. JAIN V K, COLLINS W L, DAVIS D C. High-accuracy analog measurements via interpolated FFT[J]. IEEE Trans Instrum Meas, 1979, 28(2): 113-122.
16. 齐国清, 贾欣乐.基于DFT相位的正弦信号幅度高精度估计[J].大连海事大学学报,2001,27(3):71-74,78.
17. 张爱华, 王平,丑永新.基于动态差分阈值的脉搏信号峰值检测算法[J].吉林大学学报:工学版,2014,44(3):847-853.
18. 吴建, 李康,庞宇,等.基于差分阈值与模板匹配的心电R波提取算法[J].重庆邮电大学学报:自然科学版,2015,27(3):372-376.
19. LEE E M, KIM N H, TRANG N T, et al. Respiratory rate detection algorithms by photoplethysmography signal processing[C]//2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vancouver, BC, 2008: 1140-1143.
20. 孟妍, 郑刚,戴敏.可穿戴式心电信号采集电极的研究[J].天津理工大学学报,2014,30(5):22-25,51.
21. 郭维. 穿戴式人体生理参数监测系统的研究与实现[D].长春:吉林大学,2012.http://cdmd.cnki.com.cn/Article/CDMD-10183-1012365744.htm.

Previous Article
Ultrasound Simulation of Carotid Artery Plaque and System Implementation
Next Article
Research and Design of Respiratory Impedance Measurement System Based on Forced Oscillation Technique

Journal of Biomedical Engineering

Research on Detection Method with Wearable Respiration Device Based on the Theory of Bio-impedance

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content