Fast detection and data compensation for electrodes disconnection in long-term monitoring of dynamic brain electrical impedance tomography

被引:14
|
作者
Zhang, Ge [1 ]
Dai, Meng [1 ]
Yang, Lin [1 ]
Li, Weichen [1 ]
Li, Haoting [1 ]
Xu, Canhua [1 ]
Shi, Xuetao [1 ]
Dong, Xiuzhen [1 ]
Fu, Feng [1 ]
机构
[1] Fourth Mil Med Univ, Dept Biomed Engn, Xian, Peoples R China
来源
BIOMEDICAL ENGINEERING ONLINE | 2017年 / 16卷
关键词
Brain electrical impedance tomography; Electrode disconnection; Weighted-correlation coefficient; Wavelet transform; Grey model; CONTACT IMPEDANCE; HEMORRHAGE; CLASSIFICATION; TRANSFORM; ALGORITHM; SYSTEM; MODEL;
D O I
10.1186/s12938-016-0294-7
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Background: Electrode disconnection is a common occurrence during long-term monitoring of brain electrical impedance tomography (EIT) in clinical settings. The data acquisition system suffers remarkable data loss which results in image reconstruction failure. The aim of this study was to: (1) detect disconnected electrodes and (2) account for invalid data. Methods: Weighted correlation coefficient for each electrode was calculated based on the measurement differences between well-connected and disconnected electrodes. Disconnected electrodes were identified by filtering out abnormal coefficients with discrete wavelet transforms. Further, previously valid measurements were utilized to establish grey model. The invalid frames after electrode disconnection were substituted with the data estimated by grey model. The proposed approach was evaluated on resistor phantom and with eight patients in clinical settings. Results: The proposed method was able to detect 1 or 2 disconnected electrodes with an accuracy of 100%; to detect 3 and 4 disconnected electrodes with accuracy of 92 and 84% respectively. The time cost of electrode detection was within 0.018 s. Further, the proposed method was capable to compensate at least 60 subsequent frames of data and restore the normal image reconstruction within 0.4 s and with a mean relative error smaller than 0.01%. Conclusions: In this paper, we proposed a two-step approach to detect multiple disconnected electrodes and to compensate the invalid frames of data after disconnection. Our method is capable of detecting more disconnected electrodes with higher accuracy compared to methods proposed in previous studies. Further, our method provides estimations during the faulty measurement period until the medical staff reconnects the electrodes. This work would improve the clinical practicability of dynamic brain EIT and contribute to its further promotion.
引用
收藏
页数:23
相关论文
共 46 条
  • [41] A data-driven method for fast predicting the long-term hydrodynamics of gas-solid flows: Optimized dynamic mode decomposition with control
    Li, Dandan
    Zhao, Bidan
    Lu, Shuai
    Wang, Junwu
    PHYSICS OF FLUIDS, 2024, 36 (10)
  • [42] Automated Outlier Detection Framework for Identifying Damage States in Multi-girder Steel Bridges using Long-term Wireless Monitoring Data
    O'Connor, Sean M.
    Zhang, Yilan
    Lynch, Jerome P.
    STRUCTURAL HEALTH MONITORING AND INSPECTION OF ADVANCED MATERIALS, AEROSPACE, AND CIVIL INFRASTRUCTURE 2015, 2015, 9437
  • [43] Cross-dataset evaluation of wearable fall detection systems using data from real falls and long-term monitoring of daily life
    Silva, Carlos A.
    Casilari, Eduardo
    Garcia-Bermudez, Rodolfo
    MEASUREMENT, 2024, 235
  • [44] Dynamic hydrographic variations in northwestern Arabian Gulf over the past three decades: Temporal shifts and trends derived from long-term monitoring data
    Al-Yamani, Faiza
    Yamamoto, Takahiro
    Al-Said, Turki
    Alghunaim, Aws
    MARINE POLLUTION BULLETIN, 2017, 122 (1-2) : 488 - 499
  • [45] Reflectance Confocal Microscopy and Electrical Impedance Spectroscopy in the Early Detection of Melanoma in Changing Lesions during Long-term Follow-up of Very High-risk Patients
    Chavez-Bourgeois, Marion
    Ribero, Simone
    Barreiro, Alicia
    Espinoza, Natalia
    Carrera, Cristina
    Garcia, Adriana
    Alos, Llucia
    Puig, Susana
    Malvehy, Josep
    ACTA DERMATO-VENEREOLOGICA, 2022, 102
  • [46] LONG-TERM LUNG STABILITY DURING MECHANICAL VENTILATION AFTER ELECTRICAL IMPEDANCE TOMOGRAPHY (EIT) GUIDED PEEP-TITRATION IN A PORCINE ACID ASPIRATION MODEL OF ACUTE RESPIRATORY DISTRESS SYNDROME
    Reske, A.
    Wolf, S.
    Muders, T.
    Starke, H.
    Rau, A.
    Buchloh, D.
    Beilicke, A.
    Hammermueller, S.
    Putensen, C.
    Wrigge, H.
    INTENSIVE CARE MEDICINE, 2012, 38 : S138 - S138