Standalone electrical impedance tomography system can infer spirometric indices providing global and regional lung function assessment

被引：0
|
作者：
Kwok, Wang Chun [1 ]
Zouari, Fedi [2 ]
Oon, Wei Yi [3 ]
Modak, Dipyaman [2 ]
Cao, Peng [4 ]
Lee, Wei-Ning [3 ]
Tam, Terence Chi Chun [1 ]
Wong, Eddie C. [2 ]
Chan, Russell W. [2 ]
机构：
[1] Queen Mary Hosp, Dept Med, Hong Kong, Peoples R China
[2] Gense Technol Ltd, Hong Kong, Peoples R China
[3] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
[4] Univ Hong Kong, Dept Diagnost Radiol, Hong Kong, Peoples R China
来源：
RESPIROLOGY | 2023年 / 28卷
关键词：
D O I：
暂无
中图分类号：
R56 [呼吸系及胸部疾病];
学科分类号：
摘要：
AO27-4
引用
收藏
页码：146 / 147
页数：2
相关论文
共 42 条
  • [31] ASSESSMENT OF REGIONAL LUNG MECHANICS IN SEVERE ARDS USLNG ELECTRICAL IMPEDANCE TOMOGRAPHY: IMPLICATIONS FOR THE CHOICE OF VENTILATOR STRATEGY
    Camporota, L.
    Smith, J.
    Della Torre, V.
    Specchio, V.
    Sgobio, A.
    Reinero, S.
    Chinelli, E.
    Arces, D.
    Barrett, N.
    Beale, R.
    INTENSIVE CARE MEDICINE, 2012, 38 : S138 - S139
  • [32] Distribution of regional lung function in upright healthy subjects determined by electrical impedance tomography in two chest examination planes
    Frerichs, I
    Vogt, B.
    Deuss, K.
    Hennig, V
    Schaedler, D.
    Haendel, C.
    PHYSIOLOGICAL MEASUREMENT, 2024, 45 (01)
  • [33] Assessment of distribution of ventilation and regional lung compliance by electrical impedance tomography in anaesthetized horses undergoing alveolar recruitment manoeuvres
    Ambrisko, Tamas D.
    Schramel, Johannes
    Hopster, Klaus
    Kaestner, Sabine
    Moens, Yves
    VETERINARY ANAESTHESIA AND ANALGESIA, 2017, 44 (02) : 264 - 272
  • [34] Computed Tomography Registration-Derived Regional Ventilation Indices Compared to Global Lung Function Parameters in Patients With COPD
    Cohen, Julien
    Shekarnabi, Mehdi
    Destors, Marie
    Tamisier, Renaud
    Bouzon, Sandrine
    Orkisz, Maciej
    Ferretti, Gilbert R.
    Pepin, Jean-Louis
    Bayat, Sam
    FRONTIERS IN PHYSIOLOGY, 2022, 13
  • [35] Deep learning based reconstruction enables high-resolution electrical impedance tomography for lung function assessment
    Zeng, Shihao
    Kwole, Wang Chun
    Cao, Peng
    Zouari, Fedi
    Lee, Philip Tin Yun
    Chan, Russell W.
    Touboul, Adrien
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [36] Assessing global and regional pulmonary function with electrical impedance tomography in pediatric patients: the EIT-derived flow-volume loops
    Ngo, Chuong
    Lehmann, Sylvia
    Verjans, Eva
    Tenbrock, Klaus
    Leonhardt, Steffen
    EUROPEAN RESPIRATORY JOURNAL, 2020, 56
  • [37] Saline bolus-based electrical impedance tomography method for rapid bedside assessment of regional lung perfusion during ECMO therapy
    Huaiwu He
    Jing Jiang
    Mengru Xu
    Siyi Yuan
    Yun Long
    Yi Chi
    Inéz Frerichs
    Zhanqi Zhao
    Critical Care, 26
  • [38] Saline bolus-based electrical impedance tomography method for rapid bedside assessment of regional lung perfusion during ECMO therapy
    He, Huaiwu
    Jiang, Jing
    Xu, Mengru
    Yuan, Siyi
    Long, Yun
    Chi, Yi
    Frerichs, Inez
    Zhao, Zhanqi
    CRITICAL CARE, 2022, 26 (01)
  • [39] Use of Electrical Impedance Tomography (EIT) to Estimate Global and Regional Lung Recruitment Volume (VREC) Induced by Positive End-Expiratory Pressure (PEEP): An Experiment in Pigs with Lung Injury
    Wang, Yu-Mei
    Sun, Xiu-Mei
    Zhou, Yi-Min
    Chen, Jing-Ran
    Cheng, Kun-Ming
    Li, Hong-Liang
    Yang, Yan-Lin
    Zhang, Linlin
    Zhou, Jian-Xin
    MEDICAL SCIENCE MONITOR, 2020, 26
  • [40] Assessment and calibration of a low-frequency system for electrical impedance tomography (EIT), optimized for use in imaging brain function in ambulant human subjects
    Holder, DS
    González-Correa, CA
    Tidswell, T
    Gibson, A
    Cusick, G
    Bayford, RH
    ELECTRICAL BIOIMPEDANCE METHODS: APPLICATIONS TO MEDICINE AND BIOTECHNOLOGY, 1999, 873 : 512 - 519
12345