普适性呼吸过程经胸电阻抗建模方法研究

doi:10.1007/s12204-023-2593-z

J Shanghai Jiaotong Univ Sci ›› 2024, Vol. 29 ›› Issue (6): 967-978.doi: 10.1007/s12204-023-2593-z

普适性呼吸过程经胸电阻抗建模方法研究

刘恩康1，马艺馨1, 2，白子轩1，周星1，张明珠1，江泽裔1

（1. 上海交通大学电子信息与电气工程学院，上海200240；2. 上海市智能诊疗仪器工程技术研究中心，上海200240）

接受日期:2022-01-05 出版日期:2024-11-28 发布日期:2024-11-28

Universal Modeling Method of Electrical Impedance Response During Respiration

LIU Enkang¹ (刘恩康), MA Yixin^1,2∗ (马艺馨), BAI Zixuan¹ (白子轩), ZHOU Xing¹(周星),ZHANG Mingzhu¹ (张明珠), JIANG Zeyi¹ (江泽裔)

(1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, Shanghai 200240, China)

Accepted:2022-01-05 Online:2024-11-28 Published:2024-11-28

摘要/Abstract

摘要： 近年来，阻抗呼吸描记法（IP）在肺功能诊断方面取得重大进展。由于不需要通过检测管道测量呼吸过程的气体流量，IP不增加呼吸阻力、无交叉感染的风险，比临床上既有的基于气体流量计的方法具有显著的优越性。然而，肺通气量改变引起的胸阻抗变化存在显著的个体依赖性，肺通气量变化（ΔV）与胸阻抗变化之比（ΔZ），记作kΔV/ΔZ ，因人而异，因此IP在用于定量的肺功能诊断前，必须使用流量计式肺量计对每个个体进行校准。本研究旨在利用身高、体重、身体质量指数、体脂率和胸围等个体生理参数，建立kΔV/ΔZ的普适性模型，介绍了实验过程以及通过显著性分析确定多元回归因子的方法，并对比了多种模型。本文论证了建立kΔV/ΔZ普适性回归模型的可能性，为基于IP的肺功能检测的临床应用奠定基础。

关键词: 阻抗呼吸描记法, 肺功能检查, 多元回归分析

Abstract: In recent years, significant progress has been made through impedance pneumography (IP) in diagnosing pulmonary function. Since there is no need to measure inhalation and exhalation air flow through a pipeline, IP does not increase respiratory resistance and poses no risk of cross-infection, which makes it superior to existing gas flowmeter-based spirometers in clinics. However, the changes in thoracic impedance caused by pulmonary ventilation present significant individual variability. The ratio between pulmonary ventilation volume change (ΔV ) and thoracic impedance change (ΔZ), noted as kΔV/ΔZ , differs among people. IP has to be calibrated for each person by flowmeter-type spirometer before it can be used for quantitative diagnosis. This study aimed to develop a universal model for kΔV/ΔZ using individual parameters such as body height, body mass, body mass index, body fat rate, and chest circumference. The experimental procedure, the way to identify factors for multiple regression via significance analysis and the comparison among different models are presented. This paper demonstrates the possibility of establishing a universal regression model for kΔV/ΔZ , to lay the foundation for the clinical application of IP-based pulmonary function test.

中图分类号:

刘恩康1, 马艺馨1, 2, 白子轩1, 周星1, 张明珠1, 江泽裔1. 普适性呼吸过程经胸电阻抗建模方法研究[J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 967-978.

LIU Enkang¹ (刘恩康), MA Yixin^{1, 2∗} (马艺馨), BAI Zixuan¹ (白子轩), ZHOU Xing¹(周星), ZHANG Mingzhu¹ (张明珠), JIANG Zeyi¹ (江泽裔). Universal Modeling Method of Electrical Impedance Response During Respiration[J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 967-978.

参考文献

[1] Chronic Obstructive Pulmonary Disease Group of Chinese Thoracic Society. Guideline for diagnosis and treatment of COPD (2007 revised edition) [J]. Continuing Medical Education, 2007, 21(2): 31-42 (in Chinese).
[2] MIRZA S, CLAY R D, KOSLOW M A, et al. COPD guidelines: A review of the 2018 GOLD report [J]. Mayo Clinic Proceedings, 2018, 93(10): 1488-1502.
[3] Chinese Medical Association, Chinese Medical Journals Publishing House, Chinese Society of General Practice, et al. Guideline for primary care of chronic obstructive pulmonary disease (2018) [J]. Chinese Journal of General Practitioners, 2018, 17(11): 856-870 (in Chinese).
[4] ZHOU M G, WANG H D, ZENG X Y, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017 [J]. The Lancet,2019, 394(10204): 1145-1158.
[5] The Asia Pacific COPD Roundtable Group. Global Initiative for Chronic Obstructive Lung Disease strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease: An AsiaPacific perspective [J]. Respirology, 2005, 10(1): 9-17.
[6] ZHONG N S, ZENG G Q. Prevention and treatment of chronic respiratory diseases in China [J]. Chronic Diseases and Translational Medicine, 2019, 5(4): 209-213.
[7] ZHOU Y M, ZHONG N S, LI X C, et al. Tiotropium in early-stage chronic obstructive pulmonary disease [J]. The New England Journal of Medicine, 2017, 377(10):923-935.
[8] MLYNCZAK M, CYBULSKI G. Impedance pneumography: is it possible? [J]. Proceedings of SPIE, 2012,8454: 84541T.
[9] SEPPA V P, VIIK J, HYTTINEN J. Assessment of pulmonary flow using impedance pneumography [J].IEEE Transactions on Bio-Medical Engineering, 2010,57(9):2277-2285.
[10] LI H, XU H, MA Y X, et al. Thoracic impedance measurement for lung function evaluation [C]//2017 IEEE International Conference on Imaging Systems and Techniques. Beijing: IEEE, 2017: 1-5.
[11] SEPPA V P, UITTO M, VIIK J. Tidal breathing flow-volume curves with impedance pneumography during expiratory loading [C]// 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Osaka: IEEE, 2013:2437-2440.
[12] JAUHIAINEN M, GRACIA J, SEPPA V P, et al. Linearity of simultaneously recorded impedance pneumography and direct pneumotachography in thoracic surgery patients [M]//EMBEC & NBC 2017. Singapore: Springer, 2017: 1077-1080.
[13] SIM M H, KIM M Y, JEONG I C, et al. Development and evaluation of an improved technique for pulmonary function testing using electrical impedance pneumography intended for the diagnosis of chronic obstructive pulmonary disease patients [J]. Sensors,2013, 13(11): 15846-15860.
[14] MLYNCZAK M, NIEWIADOMSKI W,ZYLINSKIM, et al. Ability to determine dynamic respiratory parameters evaluated during forced vital capacity maneuver using impedance pneumography [M]//6th European Conference of the International Federation for Medical and Biological Engineering. Cham: Springer,2015: 877-880.
[15] MLYNCZAK M, KOLODZIEJCZYK A,KRYSZTOFIAK H, et al. Cardiorespiratory profiling during simulated lunar mission using impedance pneumography [J]. Biomedical Signal Processing and Control, 2019, 51: 216-221.
[16] MLYNCZAK M, NIEWIADOMSKI W,ZYLINSKIM, et al. Verification of the respiratory parameters derived from impedance pneumography during normal and deep breathing in three body postures [M]//6th European Conference of the International Federation for Medical and Biological Engineering. Cham:Springer, 2015: 881-884.
[17] MLYNCZAK M, NIEWIADOMSKI W,ZYLINSKIM, et al. Assessment of calibration methods on impedance pneumography accuracy [J]. Biomedizinische Technik Biomedical Engineering, 2016, 61(6): 587-593.
[18] GE H, MA Y X, HUANG N N, et al. Research on denoising algorithm of thoracic impedance data for COPD diagnosis [C]//2018 IEEE International Conference on Imaging Systems and Techniques. Krakow: IEEE, 2018: 1-6.
[19] SEPPA V P, HYTTINEN J, VIIK J. A method for suppressing cardiogenic oscillations in impedance pneumography [J]. Physiological Measurement, 2011,32(3): 337-345.
[20] MLYNCZAK M, CYBULSKI G. Decomposition of the cardiac and respiratory components from impedance pneumography signals [M]//Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies. Setubal:SCITEPRESS-Science and Technology Publications,2017: 26-33.
[21] GE H, QIN H, XUE S, et al. Research on denoising algorithm of thoracic impedance signal for respiratory monitoring during running exercise [J]. Biomedical Signal Processing and Control, 2021, 70: 102941.
[22] MLYNCZAK M, CYBULSKI G. Flow parame-ters derived from impedance pneumography afternonlinear calibration based on neural networks[M]//Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies. Setubal: SCITEPRESS - Science and Technology Publications, 2017: 70-77.
[23] BLANCO-ALMAZAN D, GROENENDAAL W, CATTHOOR F, et al. Chest movement and respiratory volume both contribute to thoracic bioimpedance during loaded breathing [J]. Scientific Reports, 2019,9: 20232.
[24] ZHAO P C, WANG J G, SHEN Z L, et al. Analysis,design, and experiment of FVC detection device using the cross four-electrode method [J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-11.
[25] CHEN J J. The Research of test method and system of lung function based on the technology of bioelectrical impedance[D]. Chongqing: Chongqing University,2018 (in Chinese).

普适性呼吸过程经胸电阻抗建模方法研究

Universal Modeling Method of Electrical Impedance Response During Respiration

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