DocumentCode :
1843347
Title :
To Detect Lung Ventilation with Multi-frequency EIT System
Author :
Shuai Zhang ; Guizhi Xu ; Renping Wang ; Shuo Yang ; Weili Yan
Author_Institution :
Hebei Univ. of Technol., Tianjin
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
4161
Lastpage :
4164
Abstract :
The paper presents an EIT system based on the DDS AD9852 which could provide a multi-frequency current source and fast data acquisition. It has been used in monitoring human lung ventilation by a series of differential images. Experiments were performed successfully. The results show that the multi-frequency EIT system is reasonable, consistent and extendable. It is shown to be a suitable and reliable method of imaging human lung ventilation and the EIT technique has the potential to become a useful tool for monitoring respiration function.
Keywords :
bioelectric phenomena; biomedical imaging; computerised tomography; lung; pneumodynamics; electrical impedance tomography; human lung ventilation; multifrequency EIT system; multifrequency current source; respiration function; Biomedical monitoring; Conductivity; Digital signal processing; Electric variables measurement; Frequency measurement; Humans; Lungs; Permittivity measurement; Tomography; Ventilation; Electric Impedance; Humans; Lung; Monitoring, Physiologic; Pulmonary Ventilation; Respiration; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353253
Filename :
4353253
Link To Document :
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