Time series of EIT measurements and images during lung ventilation based on principal component analysis |
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| Authors: | FAN Wenru WANG Huaxiang YANG Chengyi MA Shiwen |
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| Institution: | FAN Wenru,WANG Huaxiang,YANG Chengyi,MA Shiwen(School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China) |
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| Abstract: | The aim of this paper is to propose a useful method for exploring regional ventilation and perfusion in the chest and also
separation of pulmonary and cardiac changes. The approach is based on estimating both electrical impedance tomography (EIT)
measurements and reconstructed images by means of principal component analysis (PCA). In the experiments in vivo, 43 cycles of heart-beat rhythm could be detected by PCA when the volunteer held breath; 9 breathing cycles and 50 heart-beat
cycles could be detected by PCA when the volunteer breathed normally. The results indicate that the rhythms of cardiac activity
and respiratory process can be exploited and separated through analyzing the boundary measurements by PCA without image reconstruction. |
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| Keywords: | electrical impedance tomography image reconstruction principal component analysis |
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